Journal ArticleDOI
Green and sustainable closed-loop supply chain network design under uncertainty
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TLDR
This study presents an integration perspective for developing a green and sustainable closed-loop supply chain (CLSC) network under uncertain demand with a bi-objective optimization model with two objectives for CO2 emissions and total operating cost.About:
This article is published in Journal of Cleaner Production.The article was published on 2019-08-01. It has received 138 citations till now. The article focuses on the topics: Supply chain network & Supply chain.read more
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Multi-objective fuzzy robust optimization approach to sustainable closed-loop supply chain network design
TL;DR: A Fuzzy Robust Optimization (FRO) is applied to cope with uncertainty in this research developing a multi-objective mathematical model to configure a Sustainable Closed-Loop Supply Chain network for a water tank considering sustainability measures.
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Uncertainty factors, methods, and solutions of closed-loop supply chain — A review for current situation and future prospects
TL;DR: The causes of uncertainties at different stages are analyzed, appropriate methods for quantifying the impacts of the uncertainties on production processes are identified, and a breakthrough point is clarified for future research is clarified.
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A novel fuzzy multi-objective circular supplier selection and order allocation model for sustainable closed-loop supply chains
TL;DR: A fuzzy goal programming approach is proposed to transform the MOMILP into a single objective model and a case study is presented to demonstrate the applicability of the proposed method in the garment manufacturing and distribution industry.
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A multi-objective optimization approach for green and resilient supply chain network design: A real-life case study
TL;DR: Computational results indicate that the proposed global supply chain network configuration can respond to its global customers’ demand in agile as well as green manner.
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A resilient and sustainable closed-loop supply chain using multiple sourcing and information sharing strategies
TL;DR: A new multi-objective mixed-integer programming model was formulated for a closed-loop supply chain and information sharing and multiple sourcing strategies were selected as the first and second strategies.
References
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Journal ArticleDOI
The Lagrangian Relaxation Method for Solving Integer Programming Problems
TL;DR: This paper is a review of Lagrangian relaxation based on what has been learned in the last decade and has led to dramatically improved algorithms for a number of important problems in the areas of routing, location, scheduling, assignment and set covering.
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Closed-Loop Supply Chain Models with Product Remanufacturing
TL;DR: This paper addresses the problem of choosing the appropriate reverse channel structure for the collection of used products from customers and shows that simple coordination mechanisms can be designed such that the collection effort of the retailer and the supply chain profits are attained at the same level as in a centrally coordinated system.
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OR FORUM---The Evolution of Closed-Loop Supply Chain Research
TL;DR: In this paper, the authors introduce the reader to the field of closed-loop supply chains with a strong business perspective, i.e., they focus on profitable value recovery from returned products.
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Green supply chain management: A review and bibliometric analysis
TL;DR: A thorough bibliometric and network analysis of the emergent field of green supply chain management provides insights not previously fully grasped or evaluated by other reviews on this topic.
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Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications $
TL;DR: In this paper, the authors compare the performances of traditional and circular production systems across a range of indicators, including direct, indirect and total lifecycle emissions, waste recovered, virgin resources use, as well as carbon maps.