Analisis Efisiensi Hasil dan Tingkat Kerugian dalam Rantai Pasokan Manufaktur Kayu Lapis Berbasis Industri 4.0Lolyka Dewi Indrasari1*, Ana Komari2 *Email corresponding author: lolyka@unik-kediri.ac.id1,2Department of Industrial Engineering, Faculty of Engineering, Kadiri UniversityArticle history: Received: 26 Juli 2025 | Revised: 10 Juni 2026 | Accepted: 24 Juni 2026Abstract. This study aims to analyze Yield Efficiency and Loss Rate in an Industry 4.0-based plywood manufacturing supply chain to improve production efficiency and support sustainable supply chain performance. A descriptive quantitative approach with a case study was employed in a plywood manufacturing industry located in Kediri, Indonesia. The data consisted of monthly production records from January to December 2024, including total logs, super-grade logs, and downgraded logs. Forecasting methods applied in this study were the 3-Month Moving Average and Single Exponential Smoothing with a smoothing constant (α) of 0.9. The performance of both methods was evaluated using Mean Squared Error (MSE), Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), the Shapiro-Wilk normality test, significance testing, and a 95% confidence interval. The results indicate that the 3-Month Moving Average method provides better forecasting accuracy, with an MSE of 12,742,092, an RMSE of 4,113.77, and a MAPE of 22.70%, which are lower than those obtained using Single Exponential Smoothing. Statistical test results reveal that the residuals are normally distributed and exhibit no significant bias, indicating that the forecasting model is valid. Furthermore, the findings demonstrate that the implementation of the Industry 4.0 approach supports Yield Efficiency control and minimizes Loss Rate, thereby enhancing the sustainable performance of the plywood manufacturing supply chain.Keywords: Industry 4.0; supply chain; plywood; Yield Efficiency; Loss Rate.Abstrak. Penelitian ini bertujuan untuk menganalisis Yield Efficiency dan Loss Rate pada rantai pasok manufaktur kayu lapis berbasis Industry 4.0 sebagai upaya meningkatkan efisiensi produksi dan mendukung keberlanjutan sistem rantai pasok. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan studi kasus pada industri kayu lapis di Kediri, Indonesia. Data yang digunakan berupa data produksi bulanan selama periode Januari–Desember 2024 yang meliputi jumlah log total, log mutu super, dan log downgrade. Metode peramalan yang digunakan adalah Moving Average 3 Bulanan dan Single Exponential Smoothing dengan nilai konstanta pemulusan (α) sebesar 0,9. Kinerja kedua metode dievaluasi menggunakan Mean Squared Error (MSE), Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), uji normalitas Shapiro-Wilk, uji signifikansi, dan interval kepercayaan 95%. Hasil penelitian menunjukkan bahwa metode Moving Average 3 Bulanan menghasilkan akurasi yang lebih baik dengan nilai MSE sebesar 12.742.092, RMSE sebesar 4.113,77, dan MAPE sebesar 22,70%, lebih rendah dibandingkan metode Single Exponential Smoothing. Hasil uji statistik menunjukkan residual berdistribusi normal dan tidak memiliki bias yang signifikan, sehingga model dinyatakan valid. Temuan penelitian menunjukkan bahwa penerapan pendekatan Industry 4.0 mampu mendukung pengendalian Yield Efficiency dan meminimalkan Loss Rate guna meningkatkan kinerja rantai pasok manufaktur kayu lapis secara berkelanjutan.Keywords- Industry 4.0; rantai pasok; kayu lapis; Yield Efficiency; Loss Rate.PendahuluanKediri, sebuah kota yang terletak di Provinsi Jawa Timur, Indonesia, memiliki sejarah yang kaya dan budaya yang kuat. Dengan populasi sekitar 293.597 jiwa pada tahun 2021, Kediri telah menjadi pusat industri dan komersial yang penting di Jawa Timur. Kediri memiliki kepentingan sebagai pusat perdagangan dan komersial selama era Majapahit, dengan kota ini menjadi salah satu hal utama untuk perdagangan rempah-rempah. Sampai saat ini, Kediri terus menjadi pusat industri dan komersial yang penting, dengan fokus yang kuat pada tekstil, pengolahan makanan, dan manufaktur. Tidak hanya itu, Kediri juga telah mengalami perkembangan signifikan dalam beberapa tahun terakhir, dengan proyek infrastruktur baru seperti Kawasan Industri Kediri dan Jalan Tol Kediri-Banyuwangi. Dengan demikian, kota ini telah menjadi lebih mudah diakses dan terhubung dengan wilayah lain di Jawa Timur menuju industri 4.0 ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.desal.2024.118092","ISSN":"0011-9164","abstract":"As the world’s supply chains become disrupted through geopolitical instability and the race towards a net-zero future, policies have been implemented to improve the security of certain minerals and raw materials critical to a country’s survival and sustainability goals. Circular economies (CE) are sought to be an ecosystem that will reduce virgin material consumption rates, lower carbon emissions, and decelerate the rate of landfilling. How- ever, cost-effective and commercially attractive substitutes to conventional products are needed for this to be realised. Machine learning (ML) and the explosion of interest in artificial intelligence (AI) have led to growing interests in predictive and generative applications for sustainability. Phosphorous and, nutrients overall, operate on finite reserves essential for food supply chains; while such nutrients are largely present in municipal wastewater streams. Wastewater treatment plants (WWTPs) must then face a transformational force to become nutrient recovery centres, rather than follow a linear treat-for-disposal model. In this framework paper, ML is positioned as an enabler for scaled, cost-effective and safer recovery of nutrients and other valuable products — tying in economic, societal, technical and commercial factors through open data connectivity. Moreover, the paper issues a policy guide for institutions wishing to advance food, energy and water security through machine learning, circular economy wastewater treatment plants (ML CE WWTP).","author":[{"dropping-particle":"","family":"Soo","given":"Allan","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Gao","given":"Li","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Kyong","given":"Ho","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"Desalination","id":"ITEM-1","issue":"September","issued":{"date-parts":[["2024"]]},"page":"118092","publisher":"Elsevier B.V.","title":"Machine learning framework for wastewater circular economy — Towards smarter nutrient recoveries","type":"article-journal","volume":"592"},"uris":["http://www.mendeley.com/documents/?uuid=3c2b7253-5ce2-4b16-917d-486aa8d73913","http://www.mendeley.com/documents/?uuid=6f9a26c4-f0c7-46ca-ac14-1143425f067b"]}],"mendeley":{"formattedCitation":"[1]","plainTextFormattedCitation":"[1]","previouslyFormattedCitation":"(Soo et al., 2024)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[1].Industry 4.0 dan ekonomi sirkular adalah dua konsep yang saling terkait dalam meningkatkan efisiensi dan transparansi dalam rantai pasok ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.jbusres.2023.114259","ISSN":"0148-2963","abstract":"In order for firms to implement the Circular Economy, and close all material and energy cycles, connections are needed not only within but also between multiple Industrial Ecosystems. To enable such complex in- terconnections, the European Union is preparing legislation to enforce the use of digital product passports (DPPs). These are verifiable collections of data about products’ composition, environmental footprint and op- portunities for preventing waste. The notion of the DPP relies heavily on a suitable digital infrastructure, and it opens the possibility of using the power of artificial intelligence (AI), to optimize circular production within and between Industrial Ecosystems. The benefits of DPPs will only be attained if their design, knowledge engineering, and implementation is well-orchestrated. The purpose of this paper is to develop a set of guiding principles for the orchestration of DPPs, based upon a trans-disciplinary analysis, that form a theoretical basis upon which future research can build. 1.","author":[{"dropping-particle":"","family":"Langley","given":"David J","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Rosca","given":"Eugenia","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Angelopoulos","given":"Marios","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Kamminga","given":"Oscar","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Hooijer","given":"Christa","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"Journal of Business Research","id":"ITEM-1","issue":"July 2022","issued":{"date-parts":[["2023"]]},"page":"114259","publisher":"Elsevier Inc.","title":"Orchestrating a smart circular economy : Guiding principles for digital product passports","type":"article-journal","volume":"169"},"uris":["http://www.mendeley.com/documents/?uuid=e3f0e371-523f-4db4-9bb4-134d4f5f4dda","http://www.mendeley.com/documents/?uuid=8a60b2f6-f548-4b14-9812-d072c7a3b475"]}],"mendeley":{"formattedCitation":"[2]","plainTextFormattedCitation":"[2]","previouslyFormattedCitation":"(Langley et al., 2023)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[2]. Industry 4.0 mengintegrasikan teknologi canggih seperti IoT, big data, AI, dan robotika untuk otomatisasi dan analisis prediktif ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.jbusres.2022.05.042","ISSN":"01482963","abstract":"A Smart Circular Supply Chain (SCSC) integrates both Industry 4.0 (I4.0) and Circular Economy (CE) concepts into supply chain in response to achieving sustainable goals/agenda. The purpose of this paper is to assess SCSC readiness and maturity level of SMEs considering different stakeholders from a multi-layered perspective. For this aim, a conceptual framework was proposed and accomplished through a case study of SMEs in Turkey's textile industry. Such integrated approach to holistically assessing SCSC readiness and maturity makes a unique contribution to the field. The highlights of this study are summarized as follows: (1) approaching readiness and maturity in transitions by focusing on systems theory; (2) identifying the dimensions of readiness and maturity in transitions to I4.0 and CE; (3) assessment of readiness and maturity level of SMEs in transition to CE and (4) assessment of readiness and maturity level of SMEs in transition to I4.0 within the supply chain.","author":[{"dropping-particle":"","family":"Kayikci","given":"Yasanur","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Kazancoglu","given":"Yigit","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Gozacan-Chase","given":"Nazlican","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Lafci","given":"Cisem","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Batista","given":"Luciano","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"Journal of Business Research","id":"ITEM-1","issue":"May","issued":{"date-parts":[["2022"]]},"page":"375-392","publisher":"Elsevier Inc.","title":"Assessing smart circular supply chain readiness and maturity level of small and medium-sized enterprises","type":"article-journal","volume":"149"},"uris":["http://www.mendeley.com/documents/?uuid=39de5045-3590-4dc7-bf63-c8862706a722"]}],"mendeley":{"formattedCitation":"[3]","plainTextFormattedCitation":"[3]","previouslyFormattedCitation":"(Kayikci et al., 2022)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[3]. Ekonomi sirkular berfokus pada pengurangan limbah dan penggunaan kembali sumber daya ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.cie.2024.110649","ISSN":"0360-8352","abstract":"Stochastic modeling techniques, such as discrete-event and agent-based simulation, are widely used in supply chain management (SCM) for capturing real-world uncertainties. Over the last decade, data-driven approaches like machine learning (ML) have also gained prominence in SCM, employing methods such as supervised learning (SL), unsupervised learning (UL), and reinforcement learning (RL). As supply chains grow in complexity, hybrid models combining simulation (Sim) and ML are becoming increasingly common, and the field stands to gain from a structured review of this literature. Towards this, we developed the Sim-ML Literature Classification Frame- work, which includes a hierarchical taxonomy comprising five SC criteria, 22 Sim-ML classes and over 75 Sim-ML subclasses. We applied this framework to synthesize 99 papers, revealing significant diversity in how Sim-ML models are used to address supply chain challenges. Key findings include the recognition of the breadth of study objectives, identifying various forms of model hybridization achieved by combining discrete/continuous simulation techniques with SL, UL, and RL approaches, and the data flow mechanisms such as sequential and feedback methods employed by the simulation and ML elements of the hybrid model. Our findings also identify some gaps in the literature; for example, optimization is rarely incorporated into Sim-ML models. Also, most studies present Sim-ML models for addressing problems in general supply chains, likely due to the lack of access to industrial data. The review also highlights that Industry 4.0 technologies, such as digital twins and blockchain, are underrepresented in current research, as are topics like sustainability and transportation. These gaps suggest significant opportunities for future research. We provide guidelines for practitioners on applying Sim-ML models to manage supply chain drivers, mitigate the impact of disruptions, and integrate emerging technologies. Our review serves as a valuable resource for researchers, practitioners, and students interested in leveraging Sim-ML approaches in SCM.","author":[{"dropping-particle":"","family":"Badakhshan","given":"Ehsan","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Mustafee","given":"Navonil","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Bahadori","given":"Ramin","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"Computers & Industrial Engineering","id":"ITEM-1","issue":"October","issued":{"date-parts":[["2024"]]},"page":"110649","publisher":"Elsevier Ltd","title":"Application of simulation and machine learning in supply chain management: A synthesis of the literature using the Sim-ML literature classification framework","type":"article-journal","volume":"198"},"uris":["http://www.mendeley.com/documents/?uuid=f6bef726-08f1-43b7-a17f-53d17646650b","http://www.mendeley.com/documents/?uuid=d1b167ad-bc57-4259-97a9-e530ef61e484"]}],"mendeley":{"formattedCitation":"[4]","plainTextFormattedCitation":"[4]","previouslyFormattedCitation":"(Badakhshan et al., 2024)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[4]. Blockchain sebagai teknologi terdesentralisasi dapat meningkatkan transparansi dan kepercayaan dalam rantai pasok, serta memungkinkan verifikasi asal-usul bahan baku dan proses yang ramah lingkungan ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.indmarman.2022.06.009","abstract":"The exponentially growing literature on Industry 4.0 technologies and their implications for supply chains ex- hibits valuable insights alongside considerable fragmentation. While prior systematic literature reviews (SLRs) started to consolidate the literature, an SLR that simultaneously (a) covers several core technologies of the In- dustry 4.0, (b) synthesizes their positive and negative implications for supply chain performance in a broad sense, and (c) accounts for the critical success factors that foster or impede these implications is still missing. We contribute to establishing a cumulative body of knowledge by conducting such an SLR. We synthesize 221 ar- ticles published on 11 Industry 4.0 technologies between 2005 and 2021. Rather than aggregate implications, our SLR presents the benefits, challenges, and critical success factors of each core technology vis-`a-vis supply chain performance individually. We integrate our findings into a framework of Industry 4.0 supply chain per- formance and derive promising avenues for future research. Specifically, we call for more research on (a) the challenges and critical success factors of Industry 4.0 technologies; (b) hitherto underexplored core technologies of the Industry 4.0; (c) the interaction of multiple core technologies (are they complements or substitutes?); as well as for (d) further consolidation and interdisciplinary dissemination efforts.","author":[{"dropping-particle":"","family":"Rad","given":"Fakhreddin F","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Oghazi","given":"Pejvak","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Palmi","given":"Maximilian","non-dropping-particle":"","parse-names":false,"suffix":""}],"id":"ITEM-1","issue":"June","issued":{"date-parts":[["2022"]]},"page":"268-293","title":"Industry 4 . 0 and supply chain performance : A systematic literature review of the benefits , challenges , and critical success factors of 11 core technologies","type":"article-journal","volume":"105"},"uris":["http://www.mendeley.com/documents/?uuid=5e7c6eaa-3ace-414e-adf2-d53310383a72","http://www.mendeley.com/documents/?uuid=96c0a927-807c-4506-b288-7c70d582b9a1"]}],"mendeley":{"formattedCitation":"[5]","plainTextFormattedCitation":"[5]","previouslyFormattedCitation":"(Rad et al., 2022)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[5]. PT. Sukses Mitra Sejahtera berfokus pada kayu lapis, meningkatkan SDM, efisiensi operasional, serta teknologi Industry 4.0 dan blockchain.Studi ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.cie.2022.108931","ISSN":"03608352","abstract":"This study aims to investigate the extent to which the contributions of blockchain technology to supply chain parameters influence blockchain adoption among SMEs. Drawing on contingency theory, the study investigates the moderating effect of market turbulence. The data were collected from 204 SMEs in Malaysia's manufacturing sector and analysed using the partial least squares technique. The results showed that the intention of SMEs’ managers to adopt blockchain is influenced by the contributions of blockchain to supply chain transparency and agility. Supply chain transparency, alignment, adaptability, and agility are interrelated. Market turbulence moderates positively the association between agility and intention to adopt blockchain. This study extends the literature by decomposing the concept of relative advantages and investigating the influences of blockchain benefits on blockchain adoption. The moderating effect of market turbulence indicates that the influence of blockchain on agility is more important for SMEs operating in a turbulent environment than the SMEs in a stable market. The findings help the policymakers and blockchain vendors in developing effective plans and strategies to speed up the adoption of blockchain among SMEs. Furthermore, the results give confidence to the managers and owners of SMEs that blockchain can be a valuable competitive advantage source.","author":[{"dropping-particle":"","family":"Iranmanesh","given":"Mohammad","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Maroufkhani","given":"Parisa","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Asadi","given":"Shahla","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Ghobakhloo","given":"Morteza","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Dwivedi","given":"Yogesh K.","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Tseng","given":"Ming Lang","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"Computers and Industrial Engineering","id":"ITEM-1","issue":"December 2022","issued":{"date-parts":[["2023"]]},"page":"108931","publisher":"Elsevier Ltd","title":"Effects of supply chain transparency, alignment, adaptability, and agility on blockchain adoption in supply chain among SMEs","type":"article-journal","volume":"176"},"uris":["http://www.mendeley.com/documents/?uuid=6e14a6a0-b717-45b3-8b6c-2bb448ae48b4"]}],"mendeley":{"formattedCitation":"[6]","plainTextFormattedCitation":"[6]","previouslyFormattedCitation":"(Iranmanesh et al., 2023)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[6] mengkaji pengaruh parameter rantai pasok terhadap niat adopsi blockchain di kalangan UKM sektor manufaktur Malaysia. Penelitian ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.cie.2022.108916","abstract":"The role of new technologies such as additive manufacturing and blockchain technology in designing and implementing circular economy ecosystems is not a trivial issue. This study aimed to understand if blockchain technology can be an enabler tool for developing additive symbiotic networks. A real case study was developed regarding a circular economy ecosystem in which a fused granular fabrication 3D printer is used to valorize polycarbonate waste. The industrial symbiosis network comprised four stakeholders: a manufacturing company that produces polycarbonate waste, a municipality service responsible for the city waste management, a start-up holding the 3D printer, and a non-profit store. It was identified a set of six requirements to adopt the blockchain technology in an additive symbiotic network, bearing in mind the need to have a database to keep track of the properties of the input material for the 3D printer during the exchanges, in addition to the inexistence of mechanisms of trust or cooperation between well-established industries and the additive manufacturing industry. The findings suggested a permissioned blockchain to support the implementation of the additive symbiotic network, namely, to enable the physical transactions (quantity and quality of waste material PC sheets) and monitoring and reporting (additive manufacturing technology knowledge and final product’s quantity and price). Future research venues include developing blockchain-based systems that enhance the development of ad- ditive symbiotic networks.","author":[{"dropping-particle":"","family":"Ferreira","given":"A","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Godina","given":"Radu","non-dropping-particle":"","parse-names":false,"suffix":""}],"id":"ITEM-1","issue":"December 2022","issued":{"date-parts":[["2023"]]},"title":"Boosting additive circular economy ecosystems using blockchain: An exploratory case study","type":"article-journal","volume":"175"},"uris":["http://www.mendeley.com/documents/?uuid=212cfd15-4c51-46f5-b736-5026f2588cff","http://www.mendeley.com/documents/?uuid=a6984bfc-57f5-4961-9d38-c530cd33c538"]}],"mendeley":{"formattedCitation":"[7]","plainTextFormattedCitation":"[7]","previouslyFormattedCitation":"(Ferreira & Godina, 2023)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[7] mengeksplorasi peran blockchain dalam mendukung pengembangan jaringan simbiosis tambahan (additive symbiotic networks) dalam ekosistem ekonomi sirkular. Studi ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.cie.2022.108753","ISSN":"0360-8352","abstract":"As a transversal theme, the intertwining of digitalization and sustainability has crossed all Supply Chains (SCs) levels dealing with widespread environmental and societal concerns. This paper investigates the potential in- terventions and disruptive impacts that Industry 4.0 technologies may have on pharmaceutical Circular SCs (CSCs). To accomplish this, a novel method involving a literature review and Pythagorean fuzzy-Delphi has initially been employed to identify and screen categorized lists of Industry 4.0 Disruptive Technologies (IDTs) and their impacts on pharmaceutical CSC. Subsequently, the weight of finalized impacts and the performance score of finalized IDTs have simultaneously been measured via a novel version of Pythagorean fuzzy SECA (Simultaneously Evaluation of Criteria and Alternatives). Then, the priority of each intervention for disruptive impacts of Industry 4.0 has been determined via the Hanlon method. This is one of the first papers to provide in- depth insights into advancing the study of the disruptive action of Industry 4.0 technologies cross-fertilizing CE throughout pharmaceutical SCs in the emerging economy of Iran. The results indicate that digital technologies such as Big Data Analytics, Global Positioning Systems, Enterprise Resource Planning, and Digital Platforms are quite available in the Irans’ pharmaceutical industry. These technologies, along with four available in- terventions, e.g., environmental regulations, subsidy, fine, and reward, would facilitate moving towards a lean, agile, resilient, and sustainable supply chain through the efficient utilization of resources, optimized waste management, and substituting the human workforce by machines. 1.","author":[{"dropping-particle":"","family":"Amoozad","given":"Hannan","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Yaftiyan","given":"Fatemeh","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Abbasi-kamardi","given":"Aliasghar","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Garza-reyes","given":"Arturo","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"Computers & Industrial Engineering","id":"ITEM-1","issue":"October","issued":{"date-parts":[["2022"]]},"page":"108753","publisher":"Elsevier Ltd","title":"Investigating potential interventions on disruptive impacts of Industry 4.0 technologies in circular supply chains: Evidence from SMEs of an emerging economy","type":"article-journal","volume":"174"},"uris":["http://www.mendeley.com/documents/?uuid=ddb5110e-7966-43eb-8a6a-a1ad131d3d8a","http://www.mendeley.com/documents/?uuid=4c94f40c-c7e8-48fb-bd3d-977b454c482d"]}],"mendeley":{"formattedCitation":"[8]","plainTextFormattedCitation":"[8]","previouslyFormattedCitation":"(Amoozad et al., 2022)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[8] menyelidiki dampak disruptif teknologi Industry 4.0 (IDTs) pada rantai pasok sirkular (Circular Supply Chains/CSCs) di industri farmasi Iran, sebuah ekonomi berkembang. Studi ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.bioana.2024.06.001","ISSN":"2950-435X","abstract":"Industry 4.0 technologies are also strengthening the circular economy and circular healthcare. It is accomplished by implementing methods to reduce waste and undertake advanced sustain- ability initiatives. Industry 4.0 uses advanced technologies like the Internet of Things (IoT), Cloud computing, Big Data, and Artificial Intelligence (AI) to enhance productivity, satisfy customers, and generate new business opportunities. Industry 4.0 may immediately redirect a system, equipment, or worker who deviates from the most effective path to reduce wasteful emissions. Due to the limited supply of resources and increasing demand to discover sustainable manu- facturing methods, the conventional strategy has proven unsuccessful. In order to reduce the need and demand for resources, the circular economy is in which waste from one sector is re- purposed as raw material in another. Industry 4.0 brought forth technological advancements that are fundamentally more sustainable than conventional corporate methods. A sustainable strategy that lowers waste production and limits exposure to dangerous chemicals in the healthcare in- dustry is known as circular healthcare. The reuse, repair, and recycling of toxic-free materials and products are encouraged in circular healthcare. The healthcare industry has to stop utilizing dangerous chemicals, stop using single-use items that are troublesome and wasteful, and take the lead in developing sustainable supply chains. Industry 4.0 developments assist the circular economy and healthcare by lowering material waste. Reuse opportunities are increased, appro- priateness is improved, and negative mining consequences are minimized when pollution levels are low. In this paper, we have adopted a review-based approach to accomplish research ob- jectives. This paper discusses Industry 4.0 and its relationship with the circular economy and healthcare. Studies specific practices of Circular Economy philosophy and discusses the Smart enablers of Industry 4.0 for Circular Economy. Finally, it identifies and discusses the role of Industry 4.0 in the smart circular economy and circular healthcare. Machines in Industry 4.0 with human-machine interfaces record data using cyber-physical systems and then analyze historical behaviour using Machine Learning (ML). The main aim of circular healthcare is to improve global health and sustainability while taking social and environmental responsibility. Creating a product that is useful for as and, integra…","author":[{"dropping-particle":"","family":"Javaid","given":"Mohd","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Haleem","given":"Abid","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Khan","given":"Ibrahim Haleem","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Singh","given":"Ravi Pratap","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Khan","given":"Abid Ali","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"Biomedical Analysis","id":"ITEM-1","issue":"2","issued":{"date-parts":[["2024"]]},"page":"174-198","publisher":"Elsevier","title":"Industry 4.0 and circular economy for bolstering healthcare sector: A comprehensive view on challenges, implementation, and futuristic aspects","type":"article-journal","volume":"1"},"uris":["http://www.mendeley.com/documents/?uuid=fbf325e8-2a60-4d5a-9271-2095dd73e7c7","http://www.mendeley.com/documents/?uuid=1d0140af-3aff-45e4-85fa-923a37ad3afe"]}],"mendeley":{"formattedCitation":"[9]","plainTextFormattedCitation":"[9]","previouslyFormattedCitation":"(Javaid et al., 2024)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[9] mengeksplorasi hubungan antara teknologi Industry 4.0 (I4.0) dan ekonomi sirkular (Circular Economy/CE) dalam membangun sektor perawatan kesehatan yang berkelanjutan. Penelitian ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.procs.2024.01.169","ISSN":"1877-0509","abstract":"The integration of Industry 4.0 and the circular economy has gained significant attention to achieve sustainable and innovative The integration of Industry 4.0 and the circular economy has gained significant attention to achieve sustainable and innovative practices in the manufacturing industry. This paper presents a conceptual framework for integrating Industry 4.0 and the circular practices in the manufacturing industry. This paper presents a conceptual framework for integrating Industry 4.0 and the circular economy, based on a systematic literature review. The review synthesizes and critically analyzes existing research to identify key economy, based on a systematic literature review. The review synthesizes and critically analyzes existing research to identify key elements of a circular and sustainable production system and demonstrates how Industry 4.0 technologies can be leveraged to elements of a circular and sustainable production system and demonstrates how Industry 4.0 technologies can be leveraged to support these elements. The framework encompasses four essential components: Desired Environmental Performance, Circular support these elements. The framework encompasses four essential components: Desired Environmental Performance, Circular Economy Strategies, Technology Enablers, and Organizational Factors. These components provide guidance for manufacturing Economy Strategies, Technology Enablers, and Organizational Factors. These components provide guidance for manufacturing firms in adopting Industry 4.0 technologies to promote circular economy principles and achieve environmental sustainability. The firms in adopting Industry 4.0 technologies to promote circular economy principles and achieve environmental sustainability. The findings of this study contribute to a comprehensive understanding of the interactions between Industry 4.0 and the circular findings of this study contribute to a comprehensive understanding of the interactions between Industry 4.0 and the circular economy, paving the way for future research and practical implementation in the manufacturing industry. economy, paving the way for future research and practical implementation in the manufacturing industry.","author":[{"dropping-particle":"","family":"Pini","given":"Bendetta","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Filippelli","given":"Serena","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Tagliente","given":"Leonardo","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"Procedia Computer Science","id":"ITEM-1","issued":{"date-parts":[["2024"]]},"page":"1711-1720","publisher":"Elsevier B.V.","title":"Integrating Industry 4.0 and Circular Economy: A Conceptual Integrating Industry 4.0 and Circular Economy: A Conceptual Framework for Sustainable Manufacturing Framework for Sustainable Manufacturing","type":"article-journal","volume":"232"},"uris":["http://www.mendeley.com/documents/?uuid=5672716c-1ec1-4133-8108-32d6b1b5bb23","http://www.mendeley.com/documents/?uuid=f30db19b-2fca-4ad2-8d95-9431679c1ecd"]}],"mendeley":{"formattedCitation":"[10]","plainTextFormattedCitation":"[10]","previouslyFormattedCitation":"(Pini et al., 2024)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[10] mengintegrasikan teknologi Industry 4.0, khususnya blockchain, dengan CE melalui kerangka konseptual untuk manufaktur berkelanjutan. Penelitian oleh Silva dan Studi ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.procs.2024.01.134","ISSN":"1877-0509","abstract":"This study aimed to identify the interfaces between Industry 4.0 technologies and circular supply chains in foodtechs, enumeration of three different Industry 4.0 technologies already implemented in the foodtechs and the verification of through key stakeholders in the sector. The research was conducted in eight Brazilian foodtech, using interviews and adherence to stakeholder theory issues. The results indicate that Industry 4.0 technologies generate efficiency in content analysis. Fiveteen circular supply chain practices were identified in the surveyed foodtechs, along with the foodtech circular supply chains, although they are still in their early stages. Stakeholder engagement optimizes enumeration of three different Industry 4.0 technologies already implemented in the foodtechs and the verification of foodtech circular supply chains in the Brazilian context. Resource circularity creates value for foodtechs when adherence to stakeholder th ory issues. The results indicate that Industry 4.0 technologies generate efficiency in supported by Industry 4.0 technologies and stakeholder engagement is crucial for resource circularity. Practical foodtech circular supply chains, although they are still in their early stages. Stakeholder engagement optimizes contributions of this study include the finding that stakeholder engagement in circular practices is possible, both in foodtech circular supply chains in the Brazilian context. Resource circularity creates value for foodtechs when the supply chain and within organizations. The study also highlights the need for support from the public sector, supported by Industry 4.0 technologies and stakeholder engagement is crucial for resource circularity. Practical including regulatory issues and tax exemptions for investment in new Industry 4.0 technologies. contributions of this study include the finding that stakeholder engagement in circular practices is possible, both in the supply chain and within organizations. The study also highlights the need for support from the public sector, © 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY","author":[{"dropping-particle":"","family":"Sc","given":"Florianópolis","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"Procedia Computer Science","id":"ITEM-1","issue":"2023","issued":{"date-parts":[["2024"]]},"page":"1357-1366","publisher":"Elsevier B.V.","title":"Circular Supply Chains and Industry 4.0: An Analysis of Tiago Hennemann Hilario da Silva1 and Simone Sehnem 2* Interfaces in Brazilian Foodtechs","type":"article-journal","volume":"232"},"uris":["http://www.mendeley.com/documents/?uuid=1dc759b9-eb33-4a0d-ba57-05b0c66b60df","http://www.mendeley.com/documents/?uuid=bc6fbdfb-436a-43ed-a721-8b7984d373fa"]}],"mendeley":{"formattedCitation":"[11]","plainTextFormattedCitation":"[11]","previouslyFormattedCitation":"(Sc, 2024)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[11] menyelidiki hubungan antara teknologi Industry 4.0 dan penerapan rantai pasok sirkular di perusahaan foodtech Brasil. Studi ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.jclepro.2024.142629","ISSN":"0959-6526","abstract":"Due to the ongoing development of urban infrastructure and higher living standards, waste glass has become a significant component of municipal solid waste that cannot be disregarded. To address this issue, researchers have been looking for sustainable solutions to establish Circular Economy best practices for the full value chain of products made of glass, particularly for waste from high-quality glass sheets. Unfortunately, most of this waste is either dumped in landfills or recycled in an open-loop manner, due to its diverse composition and low volume. However, with the advent of Industry 4.0 and 5.0 technologies, including machine-to-machine communication, artificial intelligence, Internet of Things, collaborative robots, dynamic life cycle assessment, and advanced remanufacturing techniques, it could now become possible to characterize and recover end-of-life high-quality glass sheets like chemically strengthened glasses, e.g. used in smartphone screens, real time in smart factories for use in other high-tech applications. Such smart factories can economically produce on-demand batch-size 1 products, marking a fundamental transition from conventional recycling methods to a sustainable solution. This paper delves into the integration of Industry 4.0 technologies in glass recycling research and the potential contributions of Industry 5.0, addressing its societal implications. It also introduces an intelligent method to assess and optimize the lifespan of smartphone screen glass, suggesting potential reuse or remanufacturing solutions","author":[{"dropping-particle":"","family":"Delbari","given":"Seyed Ali","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Hof","given":"Lucas A","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"Journal of Cleaner Production","id":"ITEM-1","issue":"February","issued":{"date-parts":[["2024"]]},"page":"142629","publisher":"Elsevier Ltd","title":"Glass waste circular economy - Advancing to high-value glass sheets recovery using industry 4 . 0 and 5 . 0 technologies","type":"article-journal","volume":"462"},"uris":["http://www.mendeley.com/documents/?uuid=dc539625-507d-4006-b25d-bd0d302e5a58","http://www.mendeley.com/documents/?uuid=ca595abd-bc9e-4a63-8516-80a07bdb266a"]}],"mendeley":{"formattedCitation":"[12]","plainTextFormattedCitation":"[12]","previouslyFormattedCitation":"(Delbari & Hof, 2024)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[12] mengeksplorasi penerapan teknologi Industry 4.0 dan 5.0 dalam pengelolaan limbah kaca untuk memajukan proses daur ulang kaca berkualitas tinggi, seperti kaca yang digunakan dalam layar ponsel pintar. Studi ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.jclepro.2021.126886","abstract":"In recent years, sustainable supply chain management practices have been adopted by companies that desire to reduce the negative environmental and social impacts within their supply chains. Within this perspective, a circular approach has been developed in the supply chain literature. Circular economy models and solutions assisted by industry 4.0 technologies have been developed to transform products in the end of their life cycle into new products with different use. In this paper an industry 4.0 waste-to- energy solution is developed and applied in a pilot case study comprised by a real-world supply chain to evaluate the sustainability performance of circular supply chain management (CSCM). The findings show that redesigning supply chains for circular economy with the use of Industry 4.0 technologies, can enable circular supply chain management. Clear benefits are provided linking the proposed solution to the six circular economy dimensions of the ReSOLVE model i.e. regenerate, share, optimise, loop, vir- tualise, and exchange. Improved availability of personnel (5% and 15%) and fleet resources (15%) are identified as some of the key quantitative benefits, while supply chain traceability through the full visibility and automation offered by the proposed solution, are some of the key non-quantifiable out- comes. The present work seeks to contribute to the existing literature by providing empirical evidence of how industry 4.0 and circular economy are applied in practice. Implications for managers and policy makers, along with the study limitations and further research paths are also presented.","author":[{"dropping-particle":"","family":"Mastos","given":"Los D","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Nizamis","given":"Alexandros","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Gkortzis","given":"Dimitrios","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Papadopoulos","given":"Angelos","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Tsagkalidis","given":"Nikolaos","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Ioannidis","given":"Dimosthenis","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Votis","given":"Konstantinos","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Tzovaras","given":"Dimitrios","non-dropping-particle":"","parse-names":false,"suffix":""}],"id":"ITEM-1","issued":{"date-parts":[["2021"]]},"title":"Introducing an application of an industry 4 . 0 solution for circular supply chain management","type":"article-journal","volume":"300"},"uris":["http://www.mendeley.com/documents/?uuid=41c1ddbe-9cd6-48b6-ad43-96d63873a7c6","http://www.mendeley.com/documents/?uuid=d65a78ce-c8e0-459f-bde6-666bf1675ed4"]}],"mendeley":{"formattedCitation":"[13]","plainTextFormattedCitation":"[13]","previouslyFormattedCitation":"(Mastos et al., 2021)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[13] mengeksplorasi penerapan solusi Industry 4.0 dalam manajemen rantai pasok sirkular (Circular Supply Chain Management/CSCM) untuk mendukung keberlanjutan dan prinsip ekonomi sirkular. ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.heliyon.2024.e39448","ISSN":"2405-8440","abstract":"Global market competitiveness and standards are pushing the manufacturing supply chain to adopt sustainable approaches to enhance quality, reduce waste, improve environmental practices, and optimize product costs. Blockchain technology has emerged as a promising tool for improving supply chain transparency and manufacturing sustainability. However, various challenges to the mainstream use of blockchain must be identified and addressed. In this regard, the study aims to identify and comprehend the challenges of adopting blockchain technology in the manufacturing sector to improve sustainable standards. To bridge this gap, the study used a three-step procedure. First, through a comprehensive literature review, 19 potential challenges were identified. Then, with the experts’ discussion, a total of 18 challenges were finalized. In the second phase, data was collected from 15 professionals with industrial backgrounds. Lastly, the collected data was analyzed using Combined Compromise Solution methodologies and the Fuzzy-Decision-Making Trial and Evaluation Laboratory (fuzzy DEMATEL). This hybrid methodology prioritizes the challenges in blockchain adoption and categorizes them into causal groups. This improves the decision-making process by evaluating how the mutual impact of challenges in blockchain adoption affects achieving sustainability in the manufacturing supply chain. The outcomes of the presented work are validated through a sensitivity analysis of the outranked dimensions of blockchain adoption challenges. Results show that ’High Initial Investment Cost’ and ’Lack of Digital Skills’ are the top challenges in its adoption. The findings of this work provide a roadmap to make the manufacturing supply chain sustainable and accomplish sustainability.","author":[{"dropping-particle":"","family":"Yadav","given":"Alok","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Sachdeva","given":"Anish","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Kumar","given":"Rajiv","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Qureshi","given":"Karishma M","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Mewada","given":"Bhavesh G","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Al-qahtani","given":"Muhammad Musa","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"Heliyon","id":"ITEM-1","issue":"20","issued":{"date-parts":[["2024"]]},"page":"e39448","publisher":"Elsevier Ltd","title":"Challenges of blockchain adoption for manufacturing supply chain to achieve sustainability: A case of rubber industry","type":"article-journal","volume":"10"},"uris":["http://www.mendeley.com/documents/?uuid=e21aeba5-00da-48d6-83f3-255eb3ef8273","http://www.mendeley.com/documents/?uuid=29a56683-8ab8-4388-beca-b7b619e44eaa"]}],"mendeley":{"formattedCitation":"[14]","plainTextFormattedCitation":"[14]","previouslyFormattedCitation":"(Yadav et al., 2024)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[14] mengidentifikasi metode Combined Compromise Solution dan Fuzzy-Decision-Making Trial and Evaluation Laboratory (fuzzy DEMATEL) untuk menganalisis tantangan yang dihadapi dan memprioritaskan tantangan dalam kategori penyebab dan dampak. Studi ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.eti.2024.103723","ISSN":"2352-1864","abstract":"Recently, an increasing number of firms have embraced sustainable supply chain practices to reduce negative environmental and societal impacts in their supply networks. The adoption of a circular economy framework has become popular among many businesses as a strategic approach to achieving sustainable development goals. This involves turning used products into new items with different uses, aligning with wider corporate sustainability aims. The advent of Industry 4.0 initiatives holds the potential to exert a transformative influence across entire business systems, redefining the manner in which products are conceived, manufactured, distributed, and disposed of. The present study undertakes an inquiry into the interconnections linking Industry 4.0 ca- pabilities, green supply chain integration (GSCI), flexibility in sustainable supply chain man- agement (SSCF), and the utilization of circular economy capabilities (CEC) within the context of corporate sustainability performance (CSP). Based on a comprehensive survey of 256 manufacturing organizations, the study highlights the importance of integrating dynamic capa- bilities like GSCI and SSCF within I4.0 and CE strategies. The collected data reveal the trans- formative influence of GSCI, SSCF, and I4.0 on enhancing CEC and promoting corporate sustainability. Given these insights, recognizing and harmonizing vital Industry 4.0 technologies with circular economy capabilities proves valuable for organizations aiming to enhance corporate sustainability through informed decisions.","author":[{"dropping-particle":"","family":"Matarneh","given":"Sandra","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Zahid","given":"Arsalan","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Matloob","given":"Riwan","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Ngoc","given":"Diep","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Mai","given":"Trang","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Nazir","given":"Sajid","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"Environmental Technology & Innovation","id":"ITEM-1","issue":"December 2023","issued":{"date-parts":[["2024"]]},"page":"103723","publisher":"Elsevier B.V.","title":"Industry 4.0 technologies and circular economy synergies: Enhancing corporate sustainability through sustainable supply chain integration and flexibility","type":"article-journal","volume":"35"},"uris":["http://www.mendeley.com/documents/?uuid=7840848b-6945-48dd-a228-14e09ce0d47d","http://www.mendeley.com/documents/?uuid=409d21a8-5dbe-41be-ab67-2256e62b7388"]}],"mendeley":{"formattedCitation":"[15]","plainTextFormattedCitation":"[15]","previouslyFormattedCitation":"(Matarneh et al., 2024)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[15] menyelidiki hubungan antara kapabilitas Industry 4.0, integrasi rantai pasok hijau (GSCI), fleksibilitas dalam manajemen rantai pasok berkelanjutan (SSCF), dan pemanfaatan kapabilitas CE dalam konteks kinerja keberlanjutan perusahaan (CSP) ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.procs.2024.08.081","abstract":"d connected products, processes, and systems that can optimize resource usage, reduce waste, and improve efficiency, with a Industry 4.0 technologies have become one of the main enablers for implementing Circular Economy e↵orts, creating smart significant environmental impact. Blockchain is a technology that was initially centered on authentication and security applications. and connected products, processes, and systems that can optimize resource usage, reduce waste, and improve efficiency, with a significant environmental impact. Blockchain is a technology that was initially centered on authentication and security applications. Currently, its utility has extended to solving multiple problems across industries. This paper explores the di↵erent applications of the Blockchain related to the circular economy. A systematic literature review method was applied to analyze the main objectives, Currently, its utility has extended to solving multiple problems across industries. This paper explores the di↵erent applications of the Blockchain related to the circular economy. A systematic literature review method was applied to analyze the main objectives, advantages, disadvantages, opportunities, and challenges of implementing Blockchain in various industrial sectors. Results show a advantages, disadvantages, opportunities, and challenges of implementing Blockchain in various industrial sectors. Results show a growing trend in applications with favorable impacts, especially in sectors like Manufacturing, Energy, and Automotive. growing trend in applications with favorable impacts, especially in sectors like Manufacturing, Energy, and Automotive. ©","author":[{"dropping-particle":"","family":"Cerro-barrios","given":"Martin","non-dropping-particle":"","parse-names":false,"suffix":""}],"id":"ITEM-1","issued":{"date-parts":[["2024"]]},"title":"Exploring Blockchain Applications in the Transition to a Circular Exploring Blockchain Applications in the Transition to a Circular Economy: A Comprehensive Sector-Focused Review Economy: A Comprehensive Sector-Focused Review","type":"article-journal","volume":"00"},"uris":["http://www.mendeley.com/documents/?uuid=96577592-5be9-47df-af7c-166eeef1b86c","http://www.mendeley.com/documents/?uuid=467e5865-00fb-4a40-9d61-82268f2483eb"]}],"mendeley":{"formattedCitation":"[16]","plainTextFormattedCitation":"[16]","previouslyFormattedCitation":"(Cerro-barrios, 2024)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[16].Penelitian ini memetakan penerapan teknologi Industri 4.0 untuk mendukung ekonomi sirkular di manufaktur Kediri, meningkatkan efisiensi, mengurangi limbah, dan menciptakan nilai tambah. Menggabungkan wawasan global dan lokal, penelitian ini memperkaya literatur dan menawarkan panduan rantai pasok berkelanjutan.Meskipun memiliki sejarah panjang sebagai pusat perdagangan dan komersial, sektor manufaktur lokal, termasuk industri kayu lapis, masih berjuang mengatasi keterbatasan dalam efisiensi operasional, transparansi rantai pasok, dan pengelolaan limbah yang berkelanjutan. Teknologi Industry 4.0 seperti IoT, blockchain, dan otomatisasi menawarkan potensi besar untuk menjawab tantangan ini dengan meningkatkan visibilitas, efisiensi, dan kepercayaan dalam rantai pasok. Namun, implementasi teknologi ini di tingkat lokal masih menghadapi berbagai hambatan, termasuk keterbatasan sumber daya manusia yang terampil, biaya investasi teknologi yang tinggi, dan kurangnya pemahaman akan manfaat jangka panjang dari strategi ekonomi sirkular. Lebih jauh, sebagian besar penelitian dan penerapan konsep Industry 4.0 dan ekonomi sirkular masih terkonsentrasi pada sektor-sektor tertentu, seperti farmasi atau otomotif, dengan minimnya eksplorasi pada sektor manufaktur lokal seperti yang ada di Kediri. Padahal, sektor ini memiliki peran strategis dalam mendukung pertumbuhan ekonomi regional sekaligus mendorong keberlanjutan lingkungan. Urgensi penelitian ini terletak pada kebutuhan untuk mengintegrasikan pendekatan teknologi canggih dan prinsip ekonomi sirkular ke dalam sektor manufaktur di Kediri. Melalui langkah ini, diharapkan dapat tercipta solusi konkret yang mampu meningkatkan efisiensi produksi, mengurangi limbah, serta menciptakan nilai tambah bagi pelaku usaha lokal. Penelitian ini tidak hanya relevan untuk menjawab tantangan lokal tetapi juga sebagai kontribusi penting terhadap literatur global tentang transformasi manufaktur menuju keberlanjutan berbasis teknologi.MetodePenelitian ini menggunakan pendekatan kuantitatif deskriptif dengan desain studi kasus pada PT. Sukses Mitra Sejahtera yang bergerak di bidang manufaktur kayu lapis di Kota Kediri ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.cie.2022.108916","abstract":"The role of new technologies such as additive manufacturing and blockchain technology in designing and implementing circular economy ecosystems is not a trivial issue. This study aimed to understand if blockchain technology can be an enabler tool for developing additive symbiotic networks. A real case study was developed regarding a circular economy ecosystem in which a fused granular fabrication 3D printer is used to valorize polycarbonate waste. The industrial symbiosis network comprised four stakeholders: a manufacturing company that produces polycarbonate waste, a municipality service responsible for the city waste management, a start-up holding the 3D printer, and a non-profit store. It was identified a set of six requirements to adopt the blockchain technology in an additive symbiotic network, bearing in mind the need to have a database to keep track of the properties of the input material for the 3D printer during the exchanges, in addition to the inexistence of mechanisms of trust or cooperation between well-established industries and the additive manufacturing industry. The findings suggested a permissioned blockchain to support the implementation of the additive symbiotic network, namely, to enable the physical transactions (quantity and quality of waste material PC sheets) and monitoring and reporting (additive manufacturing technology knowledge and final product’s quantity and price). Future research venues include developing blockchain-based systems that enhance the development of ad- ditive symbiotic networks.","author":[{"dropping-particle":"","family":"Ferreira","given":"A","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Godina","given":"Radu","non-dropping-particle":"","parse-names":false,"suffix":""}],"id":"ITEM-1","issue":"December 2022","issued":{"date-parts":[["2023"]]},"title":"Boosting additive circular economy ecosystems using blockchain: An exploratory case study","type":"article-journal","volume":"175"},"uris":["http://www.mendeley.com/documents/?uuid=212cfd15-4c51-46f5-b736-5026f2588cff","http://www.mendeley.com/documents/?uuid=a6984bfc-57f5-4961-9d38-c530cd33c538"]}],"mendeley":{"formattedCitation":"[7]","plainTextFormattedCitation":"[7]","previouslyFormattedCitation":"(Ferreira & Godina, 2023)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[7].Populasi dalam penelitian ini meliputi seluruh data produksi log kayu lapis selama tahun 2024 yang terdiri atas data jumlah log total, log mutu super, log downgrade, volume produksi, volume kehilangan (loss), Yield Efficiency (YE), dan Loss Rate (LR) ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.jclepro.2021.126886","abstract":"In recent years, sustainable supply chain management practices have been adopted by companies that desire to reduce the negative environmental and social impacts within their supply chains. Within this perspective, a circular approach has been developed in the supply chain literature. Circular economy models and solutions assisted by industry 4.0 technologies have been developed to transform products in the end of their life cycle into new products with different use. In this paper an industry 4.0 waste-to- energy solution is developed and applied in a pilot case study comprised by a real-world supply chain to evaluate the sustainability performance of circular supply chain management (CSCM). The findings show that redesigning supply chains for circular economy with the use of Industry 4.0 technologies, can enable circular supply chain management. Clear benefits are provided linking the proposed solution to the six circular economy dimensions of the ReSOLVE model i.e. regenerate, share, optimise, loop, vir- tualise, and exchange. Improved availability of personnel (5% and 15%) and fleet resources (15%) are identified as some of the key quantitative benefits, while supply chain traceability through the full visibility and automation offered by the proposed solution, are some of the key non-quantifiable out- comes. The present work seeks to contribute to the existing literature by providing empirical evidence of how industry 4.0 and circular economy are applied in practice. Implications for managers and policy makers, along with the study limitations and further research paths are also presented.","author":[{"dropping-particle":"","family":"Mastos","given":"Los D","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Nizamis","given":"Alexandros","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Gkortzis","given":"Dimitrios","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Papadopoulos","given":"Angelos","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Tsagkalidis","given":"Nikolaos","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Ioannidis","given":"Dimosthenis","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Votis","given":"Konstantinos","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Tzovaras","given":"Dimitrios","non-dropping-particle":"","parse-names":false,"suffix":""}],"id":"ITEM-1","issued":{"date-parts":[["2021"]]},"title":"Introducing an application of an industry 4 . 0 solution for circular supply chain management","type":"article-journal","volume":"300"},"uris":["http://www.mendeley.com/documents/?uuid=41c1ddbe-9cd6-48b6-ad43-96d63873a7c6","http://www.mendeley.com/documents/?uuid=d65a78ce-c8e0-459f-bde6-666bf1675ed4"]}],"mendeley":{"formattedCitation":"[13]","plainTextFormattedCitation":"[13]","previouslyFormattedCitation":"(Mastos et al., 2021)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[13]. Selain itu, populasi juga mencakup personel yang terlibat dalam aktivitas rantai pasok, seperti kepala produksi, supervisor gudang, operator mesin, bagian quality control, dan bagian logistik. Teknik sampling yang digunakan adalah purposive sampling dengan kriteria data produksi yang lengkap dan konsisten selama tahun 2024 serta personel yang memiliki pengalaman kerja minimal satu tahun pada bidang yang berkaitan dengan aktivitas rantai pasok. Sampel kuantitatif berupa data produksi bulanan selama dua belas periode pengamatan.Instrumen penelitian terdiri atas data primer dan data sekunder. Data primer diperoleh melalui observasi langsung dan wawancara semi terstruktur kepada pihak yang terlibat dalam proses produksi dan pengelolaan rantai pasok. Data sekunder diperoleh dari dokumen perusahaan berupa catatan produksi, data kualitas log, volume produksi, volume kehilangan, serta laporan operasional selama tahun 2024 yang digunakan sebagai dasar analisis kuantitatif.Prosedur penelitian diawali dengan identifikasi permasalahan pada sistem rantai pasok manufaktur kayu lapis, dilanjutkan dengan pengumpulan data historis produksi dan observasi terhadap proses produksi serta distribusi log. Data yang telah terkumpul kemudian diolah dan dianalisis untuk mengevaluasi kinerja sistem berdasarkan indikator Yield Efficiency (YE), Loss Rate (LR), serta akurasi peramalan produksi ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemData":{"DOI":"10.1016/j.eti.2024.103723","ISSN":"2352-1864","abstract":"Recently, an increasing number of firms have embraced sustainable supply chain practices to reduce negative environmental and societal impacts in their supply networks. The adoption of a circular economy framework has become popular among many businesses as a strategic approach to achieving sustainable development goals. This involves turning used products into new items with different uses, aligning with wider corporate sustainability aims. The advent of Industry 4.0 initiatives holds the potential to exert a transformative influence across entire business systems, redefining the manner in which products are conceived, manufactured, distributed, and disposed of. The present study undertakes an inquiry into the interconnections linking Industry 4.0 ca- pabilities, green supply chain integration (GSCI), flexibility in sustainable supply chain man- agement (SSCF), and the utilization of circular economy capabilities (CEC) within the context of corporate sustainability performance (CSP). Based on a comprehensive survey of 256 manufacturing organizations, the study highlights the importance of integrating dynamic capa- bilities like GSCI and SSCF within I4.0 and CE strategies. The collected data reveal the trans- formative influence of GSCI, SSCF, and I4.0 on enhancing CEC and promoting corporate sustainability. Given these insights, recognizing and harmonizing vital Industry 4.0 technologies with circular economy capabilities proves valuable for organizations aiming to enhance corporate sustainability through informed decisions.","author":[{"dropping-particle":"","family":"Matarneh","given":"Sandra","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Zahid","given":"Arsalan","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Matloob","given":"Riwan","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Ngoc","given":"Diep","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Mai","given":"Trang","non-dropping-particle":"","parse-names":false,"suffix":""},{"dropping-particle":"","family":"Nazir","given":"Sajid","non-dropping-particle":"","parse-names":false,"suffix":""}],"container-title":"Environmental Technology & Innovation","id":"ITEM-1","issue":"December 2023","issued":{"date-parts":[["2024"]]},"page":"103723","publisher":"Elsevier B.V.","title":"Industry 4.0 technologies and circular economy synergies: Enhancing corporate sustainability through sustainable supply chain integration and flexibility","type":"article-journal","volume":"35"},"uris":["http://www.mendeley.com/documents/?uuid=7840848b-6945-48dd-a228-14e09ce0d47d","http://www.mendeley.com/documents/?uuid=409d21a8-5dbe-41be-ab67-2256e62b7388"]}],"mendeley":{"formattedCitation":"[15]","plainTextFormattedCitation":"[15]","previouslyFormattedCitation":"(Matarneh et al., 2024)"},"properties":{"noteIndex":0},"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"}[15].Analisis data dilakukan secara deskriptif untuk menggambarkan karakteristik produksi dan kualitas log selama periode penelitian. Peramalan produksi dilakukan menggunakan metode Moving Average (MA) 3 Bulanan dan Single Exponential Smoothing (SES) dengan nilai konstanta pemulusan (α) sebesar 0,9. Kinerja kedua metode dibandingkan menggunakan Mean Squared Error (MSE), di mana metode dengan nilai MSE terkecil dipilih sebagai metode terbaik dalam perencanaan produksi. Selain itu, YE dihitung sebagai perbandingan antara volume log mutu super terhadap volume total produksi, sedangkan LR dihitung berdasarkan perbandingan volume kehilangan terhadap volume total produksi. Hasil analisis tersebut kemudian dievaluasi menggunakan pendekatan 5M+1E untuk mengidentifikasi faktor-faktor yang memengaruhi efisiensi sistem rantai pasok (Gambar 1).Uji NormalitasMenggunakan residual (error):Shapiro-Wilk (n < 50) Kolmogorov-Smirnov Hipotesis:H0 : residual berdistribusi normal H1 : residual tidak berdistribusi normal Uji SignifikansiUntuk membandingkan metode:Paired t-test (jika normal) Wilcoxon Signed Rank Test (jika tidak normal) Hipotesis:H0 : tidak terdapat perbedaan signifikan antara data aktual dan hasil prediksi. H1 : terdapat perbedaan signifikan.Gambar SEQ Gambar \* ARABIC 1. Diagram Alir PenelitianHasil dan PembahasanMA 3 bulanan menunjukkan fluktuasi permintaan signifikan dalam rantai pasok sirkular. Meskipun mendekati tren, nilai MSE tinggi menandakan perlunya metode prediksi yang lebih adaptif untuk meningkatkan efisiensi supply chain (SC). Peramalan menggunakan metode SES nilai konstanta pemulusan (α) sebesar 0,9, agar hasil peramalan responsif terhadap perubahan data aktual, sehingga prediksi fluktuasi permintaan yang terjadi pada sistem SC.Perbandingan jumlah aktual dan hasil prediksi log menggunakan MA. Terlihat fluktuasi tajam pada data aktual, Moving Average (MA) 3 bulanan menghasilkan MSE sebesar 12.742.092, lebih rendah dibandingkan Single Exponential Smoothing (SES) sebesar 25.411.870, sehingga dipilih sebagai metode terbaik. Berdasarkan MA 3 bulanan, rencana produksi diproyeksikan sebesar 24.250 batang pada Januari 2025 dan 20.879 batang pada Februari 2025 (Tabel 1-3, Gambar 2-3).Tabel SEQ Tabel \* ARABIC 1. MA 3 Bulanan Jumlah ProduksiNo.Bulan ke - (2024)Jumlah (Batang)MA 3ErrorError21Januari264132Februari187173Maret23136227554April13249183675Mei8319149014819232231186Juni12682114174869237085067Juli13704115684062164964188Agustus123601291514692156845.29September152081375715252324633.710Oktober236991708939201536831011November276202217650152514576612Desember208792406652752782994513Januari 20252425036421326591114Februari 20252087918403385656.3Total21598621414136436152905109Data Bulan (n)12MSE12742092Sumber: data diolah penelitiTabel SEQ Tabel \* ARABIC 2. SES Jumlah ProduksiNo.Bulan ke - (2024)Jumlah (Batang)SESErrorError21Januari26413   2Februari1871726413  3Maret2313619487  4April1324922771  5Mei8319142017376544053886Juni1268289076797461960317Juli13704123056820465063118Agustus12360135644115169359489September152081248024265885746.610Oktober236991493519023616017.811November276202282353452856433212Desember208792714059793575269013Januari 2025 2150568074634056814Februari 2025 2151455420739408Total 21598621868252121304942440Data Bulan (n)12MSE25411870Tabel SEQ Tabel \* ARABIC 3. Perencanaan Produksi berbasis MA 3 Bulanan dan SES MSEMSE TerkecilPerencanaan ProduksiJanuari 2025Februari 2025MA 3 Bulanan12742092127420922425020879SES25411870215052151Sumber: data diolah penelitiGambar SEQ Gambar \* ARABIC 2. MA 3 Bulanan Jumlah ProduksiSumber: data diolah penelitiGambar SEQ Gambar \* ARABIC 3. SES Jumlah ProduksiSumber: data diolah penelitiMA 3 bulanan memberikan kinerja yang lebih baik dibandingkan SES. Nilai MSE MA 3 bulanan sebesar 273.774, lebih rendah daripada SES sebesar 534.043, sehingga dipilih sebagai metode yang paling akurat untuk spesifikasi Super. Berdasarkan metode tersebut, perencanaan produksi diproyeksikan mencapai 3.909 unit pada Januari 2025 dan 3.559 unit pada Februari 2025, sehingga dapat dijadikan dasar penyusunan rencana produksi yang lebih andal (Tabel 4-5, Gambar 4-5).Tabel SEQ Tabel \* ARABIC 4. MA 3 Bulanan Jumlah Spesifikasi SuperNo.Bulan ke - (2024)Jumlah (Super)MA 3ErrorError21Januari44932Februari32053Maret364837824April218230115Mei14182416753567577.546Juni20831894757573494.227Juli23121938625390717.948Agustus2128217424459376.0979September2638235927173401.01210Oktober38912886603363373.2111November42593596714509174.1212Desember35593903723522717.8613Januari 20253909431185986.2214Februari 2025355919939466.872Total358143542653203285285Data Bulan (n)12MSE273774Tabel SEQ Tabel \* ARABIC 5. SES Jumlah Spesifikasi SuperNo.Bulan ke - (2024)Jumlah (Super)SESErrorError21Januari44932Februari320544933Maret364833334April218236165Mei1418232511281272576.76Juni20831508997993766.587Juli23122025103510708818Agustus21282283642411927.879September26382143381145506.4310Oktober38912589342117067.1311November42593760809654679.3812Desember35594209854729438.2113Januari 20253624888788832.5114Februari 2025362473223843.67Total358143627375506408519Data Bulan (n)12MSE534043Sumber: data diolah penelitiGambar SEQ Gambar \* ARABIC 4. MA 3 Bulanan Jumlah Produksi SuperSumber: data diolah penelitiGambar SEQ Gambar \* ARABIC 5. SES Jumlah Produksi SuperSumber: data diolah penelitiGambar SEQ Gambar \* ARABIC 6. MA 3 Bulanan DowngradeSumber: data diolah penelitiGambar SEQ Gambar \* ARABIC 7. SES DowngradeSumber: data diolah penelitiHasil evaluasi menunjukkan bahwa metode MA 3 bulanan lebih akurat dibandingkan SES dalam meramalkan jumlah produk Downgrade. Hal ini ditunjukkan oleh nilai MSE MA 3 bulanan sebesar 28, lebih rendah daripada MSE SES sebesar 54. Oleh karena itu, metode MA 3 bulanan dipilih sebagai dasar perencanaan produksi dengan proyeksi 39 unit pada Januari 2025 dan 36 unit pada Februari 2025, sehingga mampu menghasilkan estimasi yang lebih andal untuk pengendalian kualitas produksi (Tabel 6-7, Gambar 6-7).Tabel SEQ Tabel \* ARABIC 6. MA3 Bulanan Spesifikasi DowngradeNo.Bulan ke - (2024)Jumlah (Downgrade)MA 3ErrorError21Januari452Februari323Maret37384April22305Mei1424857.9101666Juni2119858.5138487Juli2320639.865118Agustus212226.05816739September272437.48913510Oktober3929637.07511511November4336751.95124212Desember3639753.33311513Januari 202539418.9762514Februari 20253624.0268209Total36235854335Data Bulan (n)12MSE28Sumber: data diolah penelitiTabel SEQ Tabel \* ARABIC 7. SES Spesifikasi DowngradeNo.Bulan ke - (2024)Jumlah (Downgrade)SESErrorError21Januari452Februari32453Maret37344April22375Mei142311129.841516Juni211510101.394417Juli232010109.262428Agustus2123642.0291689September2722414.8460810Oktober3926311.94440611November4338866.79720312Desember3643974.42487613Januari 202537980.48490114Februari 20254522.83886Total36236676654Data Bulan (n)12MSE54Sumber: data diolah penelitiPeramalan log mutu downgrade tahun 2024 menggunakan metode SES. Total error sebesar 76 dan MSE sebesar 54 menunjukkan prediksi cukup baik, meskipun terdapat penyimpangan pada beberapa bulan tertentu. Perbandingan jumlah aktual dan hasil prediksi log mutu downgrade menggunakan metode Single Exponential Smoothing. Prediksi mengikuti tren umum data aktual, namun terlihat penyimpangan signifikan terutama pada bulan awal dan akhir. Yield Efficiency (YE), Loss Rate (LR), dan volume log. Rata-rata YE sebesar 8,25% dan LR 0,08%, dengan total volume 36.176 m³ serta volume super dan loss masing-masing 3.285 m³ dan 33 m³. Yield Efficiency (YE) agregat log 260 cm selama tahun 2024. YE tertinggi terjadi pada Januari sebesar 12,42%, sementara nilai terendah tercatat pada Mei sebesar 3,92%, mencerminkan fluktuasi efisiensi produksi sepanjang tahun. Nilai YE tertinggi pada Januari 12,55%, artinya sistem rantai pasok konsisten dalam menghasilkan log berkualitas tinggi disusul nopember sebesar 11,89% sehingga ini jika YE berada kurang dari 10%, maka perlu di identifkkasi loss dalam sistem rantai pasok. Nilai Loss Rate < 1%, artinya kerusakan log sangat kecil yang terjadi karena gesekan penurunan dari transportasi ke gudang, dan proses angkat - angkut saat menggunakan mesin crane (Tabel 8, Gambar 8). Berdasarkan hasil pengujian statistik, metode Moving Average (MA) 3 bulanan menempati peringkat terbaik dengan MSE 12.742.092, RMSE 4.113,77, dan MAPE 22,70%, lebih rendah dibandingkan SES. Kedua model memiliki residual berdistribusi normal, tidak menunjukkan bias signifikan (p > 0,05), sehingga dinyatakan valid untuk peramalan produksi (Tabel 9).Tabel SEQ Tabel \* ARABIC 8. YE dan LRNo.Bulan ke - (2024)YELRVolume Total (m^3)Volume SuperVolume Loss1Januari12.42%0.13%453856462Februari8.86%0.09%323728733Maret10.08%0.10%368537244April6.03%0.06%220413315Mei3.92%0.04%14325616Juni5.76%0.06%210412117Juli6.39%0.06%233514928Agustus5.88%0.06%214912619September7.29%0.07%2665194210Oktober10.75%0.11%3930423411November11.77%0.12%4302506512Desember9.84%0.10%35953544Total99.0%1.0%36176328533Rata - Rata8.25%0.08%30152743Sumber: data diolah penelitiGambar SEQ Gambar \* ARABIC 8. YE-LRSumber: data diolah penelitiMelalui strategi teknologi Industry 4.0 dan integrasi blockchain dengan pendekatan 5M+1E, penelitian ini berupaya menciptakan solusi konkret yang mampu meningkatkan efisiensi produksi, mengurangi limbah, serta menciptakan nilai tambah bagi pelaku usaha lokal. Pada aspek Man, operator dan petugas logistik dituntut memiliki kompetensi dalam pengoperasian sistem IoT dan antarmuka digital, serta pemahaman tentang validasi data dalam sistem blockchain. Machine difokuskan pada fabrikasi sensor suhu, getaran, dan posisi log untuk meminimalkan kerusakan akibat transportasi dan penanganan. Method mencakup pelacakan mesin secara real-time berbasis IoT dan penggunaan digital ledger yang mencatat volume, mutu, dan lokasi log secara immutable serta terhubung dengan smart contract untuk verifikasi otomatis berdasarkan parameter mutu. Pada elemen Material, konsistensi mutu ditunjukkan melalui indikator YE, dengan capaian tertinggi 12,55% pada Januari dan 11,89% pada November, menunjukkan efektivitas sistem dalam menjaga kualitas log; jika YE < 10%, maka perlu dilakukan penelusuran penyebab kehilangan mutu. Measurement dilakukan menggunakan indikator YE (>10%) dan loss rate (<1%) sebagai bukti sistem telah berhasil meminimalkan kerusakan, dengan penyebab dominan berasal dari gesekan saat penurunan log ke gudang atau pengangkatan dengan crane. Studi ini sejalan efisiensi dan transparansi dalam rantai pasok [2] [3]. Dimana peran CE berfokus sejalan dengan pengurangan limbah [4] [5] [6]. Studi ini juga sejalan dengan mengintegrasikan teknologi Industry 4.0 manufaktur [10] [11] [12] [13]. Dari sisi Environment, implementasi IoT memperhatikan suhu dan kelembaban gudang untuk menjaga mutu log, sementara dashboard digital digunakan sebagai sistem peringatan dini terhadap anomali lingkungan. Pendekatan komprehensif ini tidak hanya menjawab tantangan lokal, tetapi juga berkontribusi signifikan terhadap literatur global mengenai transformasi manufaktur berkelanjutan berbasis teknologi.Tabel SEQ Tabel \* ARABIC 9. Pengujian StatistikParameter EvaluasiMA 3 BulananSES (α = 0,9)KriteriaMSE12.742.09225.411.870Semakin kecil semakin baikRoot Mean Square Error (RMSE)4.113,774.983,93Semakin kecil semakin baikMean Absolute Percentage Error (MAPE) (%)22,7027,84< 10% sangat baik; 10–20% baik; 20–50% cukupStatistik Shapiro-Wilk (W)0,9640,945W mendekati 1 menunjukkan normalitasp-value Shapiro-Wilk0,8480,660p > 0,05 menunjukkan residual berdistribusi normalt-hitung (One Sample t-Test)0,5400,550Menguji bias rata-rata errorp-value t-Test0,6060,599p > 0,05 menunjukkan tidak terdapat bias signifikanMean Error822,751.014,50Mendekati nol lebih baikConfidence Interval 95%(-2779,63 ; 4425,13)(-3346,60 ; 5375,60)Interval yang memuat nol menunjukkan tidak terdapat bias sistematisDistribusi ResidualNormalNormalBerdasarkan uji Shapiro-WilkValiditas ModelValidValidResidual normal dan tidak biasPeringkat Model12Berdasarkan MSE, RMSE, dan MAPESumber: data diolah penelitiKesimpulanStudi ini membuktikan nilai YE tertinggi pada Januari sebesar 12,55% dan November sebesar 11,89%, mencerminkan konsistensi sistem dalam menghasilkan log berkualitas tinggi. Namun, jika nilai YE kurang dari 10%, maka perlu dilakukan identifikasi terhadap potensi loss dalam rantai pasok. Berdasarkan analisis 5M+1E, potensi loss tersebut dapat berasal dari unsur Material berupa log yang tidak seragam ukurannya, Machine seperti crane yang belum sepenuhnya presisi dalam pemindahan, Method yang belum optimal saat loading-unloading, Man yaitu keterampilan operator crane yang bervariasi, Measurement dari sensor getaran yang kadang delay, serta Environment berupa kondisi jalan atau cuaca saat distribusi log. LR <1% menunjukkan kerusakan log tergolong kecil dan umumnya terjadi akibat gesekan saat penurunan dari transportasi ke gudang atau ketika proses angkat-angkut dengan crane.Ucapan TerimakasihTerima kasih kepada Universitas Kadiri atas kontribusi penuhnya terhadap kegiatan penelitian ini dan kepada Fakultas Teknik atas kontribusinya sepanjang proses penelitian hingga publikasi.Referensi[1]A. Soo, L. Gao, and H. 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