Fuzzy multi-objective sustainable and green closed-loop supply chain network design

Soleimani, Hamed; Govindan, Kannan; Saghafi, Hamid; Jafari, Hamid

doi:10.1016/j.cie.2017.04.038

Cited by 239 publications

(107 citation statements)

References 35 publications

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“…Due to the interaction and contradiction between economic and environmental objectives, the decision-making process is quite complex, which makes it difficult for decision-makers to make decisions easily [14]. Multi-objective optimization is also used to research the problem of GSCM operation, such as green supply chain network design [15], green supplier evaluation [16], sustainable distribution system [17], and so on. Therefore, this paper establishes a multi-objective optimization model and analyzes the game behavior and coordination contract between upstream manufacturers and downstream retailers to research whether this behavior can facilitate a win-win scenario for the profit and the ecological environment after pursuing the double objectives of economy and environment benefits.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Objective Optimization Model for Green Supply Chain Considering Environmental Benefits

et al. 2019

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Whether the upstream and downstream members in a supply chain (considering environmental objectives) simultaneously stabilize economic benefits has become an important problem in the process of green development. However, few quantitative studies on green supply chains have considered environmental and economic benefits to realize multi-objective optimization. To study operation and cooperation strategies with a consideration of the different objective on the level of supply chain, we first establish a green supply chain game model with profit and environment objectives simultaneously considered by the manufacturer. Then, we analyze the multi-objective decisions of the supply chain members under centralized control using a manufacturer-led Stackelberg game and revenue-sharing contract. Using the manufacturer's environmental preference as a variable, the effects of environmental benefits on the supply chain are also investigated. Finally, this study determines that the manufacturer's profit will be reduced after considering the objective of environmental benefits, while the retailer's profit, product greenness, and environmental benefits will be improved. Meanwhile, the total profit of the green supply chain will first increase and then decrease. In particular, a revenue-sharing contract can facilitate the coordination of multiple objectives; in this way, both the manufacturer and the retailer achieve higher profits and environmental benefits compared to a decentralized control condition, which is of great significance in achieving a win-win situation for the economy and the environment.

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Section: Introductionmentioning

confidence: 99%

A Multi-Objective Optimization Model for Green Supply Chain Considering Environmental Benefits

et al. 2019

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“…In fact, for obtaining sustainability of the supply chain considering various realistic environments, many studies have been studied to design CLSC framework and develop an optimization model based on that framework [6][7][8]. However, the existing studies related to RMs only analyzed the supply risk of RMs or impact of price variation using qualitative approaches, and there have been no studies about CLSC of RMs considering all the conditions mentioned above.…”

Section: Introductionmentioning

confidence: 99%

Closed-Loop Supply Chain Planning Model of Rare Metals

et al. 2018

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Rare metals (RMs) are becoming increasingly important in high-tech industries associated with the Fourth Industrial Revolution, such as the electric vehicle (EV) and 3D printer industries. As the growth of these industries accelerates in the near future, manufacturers will also face greater RM supply risks. For this reason, many countries are putting considerable effort into securing the RM supply. For example, countries including Japan, Korea, and the USA have adopted two major policies: the stockpile system and Extended Producer Responsibility (EPR). Therefore, it is necessary for the manufacturers with RMs to establish a suitable supply chain plan that reflects this situation. In this study, the RM classification matrix is created based on the stockpile and recycling level in Korea. Accordingly, three different types of supply chain are designed in order to develop the closed-loop supply chain (CLSC) planning model of RM, and the CLSC planning models of RM are validated through experimental analysis. The results show that the stockpiling and the EPR recycling obligation increase the amount of recycled flow and reduce the total cost of the part manufacturing, which means that these two factors are significant for obtaining sustainability of the RMs' CLSC. In addition, the government needs to set an appropriate sharing cost for promoting the manufacturer's recycling. Also, from the manufacturer's perspective, it is better to increase the return rate by making a contract with the collectors to guarantee the collection of used products.

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“…Soleimani et al [16] addressed a design problem of GCLSC including suppliers, manufacturers, distribution centers, customers, warehouse centers, return centers and recycling centers. Three objectives were total profit optimization and reduction of lost working days due to occupational accidents and maximizing responsiveness to customer demand, respectively.…”

Section: The Studies On the Green Closed-loop Supply Chainmentioning

confidence: 99%

A Bi-Objective Green Closed Loop Supply Chain Design Problem with Uncertain Demand

Liu

Zhu

et al. 2018

Sustainability

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Abstract:With the development of e-commerce, competition among enterprises is becoming fiercer. Furthermore, environmental problems can no longer be ignored. To address these challenges, we devise a green closed loop supply chain (GCLSC) with uncertain demand. In the problem, two conflict objectives and recycling the used products are considered. To solve this problem, a mathematical model is formulated with the chance constraint, and the -constraint method is adapted to obtain the true Pareto front for small sized problems. For larger sized problems, the non-dominated sorting genetic algorithm (NSGA-II) and the multi-objective simulated annealing method (MOSA) are developed. Numerous computational experiments can help manufacturers make better production and sales plans to keep competitive advantage and protect the environment.

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Fuzzy multi-objective sustainable and green closed-loop supply chain network design

Cited by 239 publications

References 35 publications

A Multi-Objective Optimization Model for Green Supply Chain Considering Environmental Benefits

A Multi-Objective Optimization Model for Green Supply Chain Considering Environmental Benefits

Closed-Loop Supply Chain Planning Model of Rare Metals

A Bi-Objective Green Closed Loop Supply Chain Design Problem with Uncertain Demand

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