Ali Nazarinia , Amir Pirayesh , Olivier Dupouët , Maïder Saint-Jean
{"title":"循环供应链网络设计:一种鲁棒概率多目标优化方法","authors":"Ali Nazarinia , Amir Pirayesh , Olivier Dupouët , Maïder Saint-Jean","doi":"10.1016/j.ijpe.2025.109725","DOIUrl":null,"url":null,"abstract":"<div><div>Circular supply chains (CSCs) are essential to advancing the circular economy (CE), which aims to minimise waste and maximise resource reuse through regenerative natural systems. CSCs connect actors in primary industries with those in the recycling, secondary materials, and energy sectors. However, the transition to effective CSCs requires a systemic shift that emphasises cross-sectoral collaboration and balances economic, environmental, and social objectives in an uncertain environment. Therefore, this study proposes a tri-objective multi-sector CSC network design model, formulated as a mixed-integer linear programming problem and solved using the <span><math><mi>ϵ</mi></math></span>-constraint method. To address both fuzzy and stochastic uncertainties in the CE context, a robust-fuzzy stochastic programming (RFSP) approach is used to integrate uncertain parameters such as demand and return rates, remanufacturing, recovery, recycling rates, and production costs. A sensitivity analysis of critical parameters, such as waste coefficients and the prices of primary and secondary products, further assesses the readiness of the network for a circular transition. The practical relevance of the model is demonstrated through a case study of the French tyre industry, which reveals complex interdependencies in the circular system and provides valuable insights for stakeholders in the French primary and secondary markets. The findings highlight the interrelated roles of these industries in circular transitions and underline the importance of integrating uncertainty into the design of CSC to effectively balance competing objectives. This study contributes to the academic literature by applying a robust methodological approach and provides policymakers and industry leaders with key insights for strategic decision-making in pursuit of comprehensive sustainability and resource circularity.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"289 ","pages":"Article 109725"},"PeriodicalIF":10.0000,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Circular supply chain network design: A robust probabilistic multi-objective optimisation approach\",\"authors\":\"Ali Nazarinia , Amir Pirayesh , Olivier Dupouët , Maïder Saint-Jean\",\"doi\":\"10.1016/j.ijpe.2025.109725\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Circular supply chains (CSCs) are essential to advancing the circular economy (CE), which aims to minimise waste and maximise resource reuse through regenerative natural systems. CSCs connect actors in primary industries with those in the recycling, secondary materials, and energy sectors. However, the transition to effective CSCs requires a systemic shift that emphasises cross-sectoral collaboration and balances economic, environmental, and social objectives in an uncertain environment. Therefore, this study proposes a tri-objective multi-sector CSC network design model, formulated as a mixed-integer linear programming problem and solved using the <span><math><mi>ϵ</mi></math></span>-constraint method. To address both fuzzy and stochastic uncertainties in the CE context, a robust-fuzzy stochastic programming (RFSP) approach is used to integrate uncertain parameters such as demand and return rates, remanufacturing, recovery, recycling rates, and production costs. A sensitivity analysis of critical parameters, such as waste coefficients and the prices of primary and secondary products, further assesses the readiness of the network for a circular transition. The practical relevance of the model is demonstrated through a case study of the French tyre industry, which reveals complex interdependencies in the circular system and provides valuable insights for stakeholders in the French primary and secondary markets. The findings highlight the interrelated roles of these industries in circular transitions and underline the importance of integrating uncertainty into the design of CSC to effectively balance competing objectives. This study contributes to the academic literature by applying a robust methodological approach and provides policymakers and industry leaders with key insights for strategic decision-making in pursuit of comprehensive sustainability and resource circularity.</div></div>\",\"PeriodicalId\":14287,\"journal\":{\"name\":\"International Journal of Production Economics\",\"volume\":\"289 \",\"pages\":\"Article 109725\"},\"PeriodicalIF\":10.0000,\"publicationDate\":\"2025-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Production Economics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0925527325002105\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Production Economics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0925527325002105","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Circular supply chains (CSCs) are essential to advancing the circular economy (CE), which aims to minimise waste and maximise resource reuse through regenerative natural systems. CSCs connect actors in primary industries with those in the recycling, secondary materials, and energy sectors. However, the transition to effective CSCs requires a systemic shift that emphasises cross-sectoral collaboration and balances economic, environmental, and social objectives in an uncertain environment. Therefore, this study proposes a tri-objective multi-sector CSC network design model, formulated as a mixed-integer linear programming problem and solved using the -constraint method. To address both fuzzy and stochastic uncertainties in the CE context, a robust-fuzzy stochastic programming (RFSP) approach is used to integrate uncertain parameters such as demand and return rates, remanufacturing, recovery, recycling rates, and production costs. A sensitivity analysis of critical parameters, such as waste coefficients and the prices of primary and secondary products, further assesses the readiness of the network for a circular transition. The practical relevance of the model is demonstrated through a case study of the French tyre industry, which reveals complex interdependencies in the circular system and provides valuable insights for stakeholders in the French primary and secondary markets. The findings highlight the interrelated roles of these industries in circular transitions and underline the importance of integrating uncertainty into the design of CSC to effectively balance competing objectives. This study contributes to the academic literature by applying a robust methodological approach and provides policymakers and industry leaders with key insights for strategic decision-making in pursuit of comprehensive sustainability and resource circularity.
期刊介绍:
The International Journal of Production Economics focuses on the interface between engineering and management. It covers all aspects of manufacturing and process industries, as well as production in general. The journal is interdisciplinary, considering activities throughout the product life cycle and material flow cycle. It aims to disseminate knowledge for improving industrial practice and strengthening the theoretical base for decision making. The journal serves as a forum for exchanging ideas and presenting new developments in theory and application, combining academic standards with practical value for industrial applications.