The optimization of the closed-loop supply chain network

Guang-fen, Yang; Wang, Zhiping; Li, Xiaoqiang

doi:10.1016/j.tre.2008.02.007

Cited by 141 publications

(87 citation statements)

References 14 publications

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“…Constraint (17) means that the amount of the EOL products demand market k decides to return should be less than or equal to the amount purchased in the forward supply chain multiply the return ratio m (Hammond & Beullens, 2007;Yang et al, 2009). …”

Section: Ikmentioning

confidence: 99%

Research on closed-loop supply chain network equilibrium with two-type suppliers, risk-averse manufacturers and capacity constraints

Sun

Zhang

2015

JIEM

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Abstract:Purpose: The aim of this paper is to investigate the closed-loop supply chain (CLSC) network equilibrium with the consideration of three practical factors: two complementary types of suppliers, risk-averse character of the manufacturer and capacity constraints of the suppliers.Design/methodology/approach: The equilibrium of various decision makers including the suppliers, the manufacturers, the retailers, the collectors and the demand markets are modeled via finite-dimensional variational inequality, respectively. Then the governing CLSC network equilibrium model is established. The logarithmic-quadratic proximal prediction-correction algorithm is designed to solve the variational inequality model. Numerical examples are given to analyze the impact of return rate, risk-averse degree and capacity constraints on the network equilibrium under different product BOMs. Findings:With the increase of return rate, the profits of various channel members and the performance of the CLSC system will improve. There is a contradiction between profit maximization and risk minimization for the manufacturers. Moreover, the economic behavior of the CLSC is likely to be limited by the capacity constraints of the suppliers. Originality/value: Prior to this paper, few papers have addressed with the CLSC network equilibrium considering some practical factors. They assume all the suppliers are identical and -509-Journal of Industrial Engineering and Management -http://dx.doi.org/10.3926/jiem.1336 all the decision-makers are risk neutral. Furthermore, the production capacities of all suppliers are assumed to be infinite or large enough. To fill the gap, this paper examines the influences of two-type suppliers, risk aversion and capacity constraints upon the CLSC network equilibrium.

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Section: Ikmentioning

confidence: 99%

Research on closed-loop supply chain network equilibrium with two-type suppliers, risk-averse manufacturers and capacity constraints

Sun

Zhang

2015

JIEM

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“…As can be seen in the network, these chain members can be classified into two groups [28]: (1) Forward logistics chain members shown at the left side of Figure 6, including raw material suppliers, manufacturers, retailers and demand markets; (2) Reverse logistics chain members shown at the right side of Figure 6, including demand markets, recovery centers and manufacturers. Manufacturers and demand markets could be recognized as the nodes to combine the forward supply chain network and the reverse supply chain network together to form the closed-loop supply chain network.…”

Section: The Closed-supply Chainmentioning

confidence: 99%

“…A series of three cases are presented, and a framework Figure 6. The closed loop supply chain network [28] developed that shows the common activities required for all remanufacturing operations. To build on the similarities and illustrate and integrate the differences in closed-loop supply chains, Hayes and Wheelwright's product-process matrix is used as a foundation to examine the three cases representing Remanufacture-to-Stock (RMTS), Reassemble-to-Order (RATO), and Remanufacture -to-Order (RMTO).…”

Section: The Closed-supply Chainmentioning

confidence: 99%

“…The proposed heuristics based genetic algorithm (GA) is applied as a solution methodology to solve mixed integer linear programming model (MILP). Yang et al [28] developed a model of a general closedloop supply chain (CLSC) network, which includes raw material suppliers, manufacturers, retailers, consumers and recovery centers. The objective of the paper is to formulate and optimize the equilibrium state of the network by using the theory of variation inequalities.…”

Section: The Closed-supply Chainmentioning

confidence: 99%

“…Constraint (25) and (26) show the repaired product equilibrium from repairing center to DCs and warehouse, respectively. Constraint (27) and (28) guarantee the recycled product equilibrium from dismantlers to disposal and decomposition centers, respectively. Constraint (29) and (30) guarantee the recyclable product equilibrium from decomposition centers to suppliers and plants, respectively.…”

mentioning

confidence: 99%

See 2 more Smart Citations

A Multi Objective Model for Optimization of a Green Supply Chain Network

Paksoya¹

2011

Global Journal of Technology and Optimization

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Because of leading the environmental disasters, the global climate alteration has been one of the most important controversial issues in decades. The greenhouse gas emissions (CO 2 , methane, nitric oxide, ozone etc.) begin with the industrial revolution. After this milestone, the global warming is getting worst as long as the energy demands are met by the fossil fuels. There are a lot of factors to evaluate the performance of the supply chains such as customer service, quality, lead time, cost etc. But due to the environmental requirements (social responsibilities, Kyoto Protocol, government agencies etc.) an increasing attention has to be given to develop environmental strategies. If the aforementioned environmental applications are considered in the supply chains, then we called Green Supply Chain (GrSC). This study develops a model of a closed-loop supply chain network which starts with the suppliers and recycles with the decomposition centers. As a traditional network design, we consider minimizing the all transportation costs and the raw material purchasing costs. To pay attention for the green impacts, different transportation choices are presented between echelons according to their CO 2 emissions. The plants can purchase different raw materials in respect of their recyclable ratios. The focuses of this paper are conducting the minimizing total CO 2 emissions. Also we try to encourage the customers to use recyclable materials as an environmental performance viewpoint besides minimizing total costs. A multi objective linear programming model is developed via presenting a numerical example. We close the paper with recommendations for future researches.

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Multi‐period closed‐loop supply chain network equilibrium considering CSR investment and sharing mechanism

Duan

Yao

et al. 2021

Manage Decis Econ

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This study explores the impact of CSR investment and sharing mechanism on multi‐period CLSC network equilibrium. We establish a network equilibrium model in which manufacturers and retailers jointly undertake CSR. Numerical examples are applied to analyze the model. The results show that an increase in CSR is conducive to increasing product demand and recovery rate as well as achieving the social welfare maximization of the system. When retailers undertake more CSR, CSR is more effective in increasing utility in the system; particularly, when retailers undertake more CSR in earlier periods, this helps to increase the recovery rate and social welfare.

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The optimization of the closed-loop supply chain network

Cited by 141 publications

References 14 publications

Research on closed-loop supply chain network equilibrium with two-type suppliers, risk-averse manufacturers and capacity constraints

Research on closed-loop supply chain network equilibrium with two-type suppliers, risk-averse manufacturers and capacity constraints

A Multi Objective Model for Optimization of a Green Supply Chain Network

Multi‐period closed‐loop supply chain network equilibrium considering CSR investment and sharing mechanism

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