Research on Remanufacturing Closed-loop Supply Chain Considering Supply Disruption in Uncertain Environment

doi:10.3969/j.issn.1007-7375.2021.01.019

Abstract

Abstract: In order to study the impact of supply disruption on the remanufactured closed-loop supply chain in the environment of uncertain demand and recycling quality, a total system cost model was established. To solve the model, the fuzzy opportunity constraint programming method is used to solve the uncertainty problem in the model, and the Genetic Algorithm and Particle Swarm Algorithm are used to solve the problem. The results show that: under different levels of demand and recovery quality, the cost of the company varies; the average total cost increases with the increase in the probability of supply disruption. Therefore, when remanufacturing enterprises are facing an environment with uncertain demand and recycling quality, they should try their best to avoid supply disruption and formulate an operation plan in line with the development of the enterprise.

Key words: uncertainty demand, uncertainty quality of recovery, fuzzy chance constrained programming, supply interruption, PSO (particle swarm algorithm), GA (genetic algorithm)

CLC Number:

F274

WANG Zhen, GUO Jianquan. Research on Remanufacturing Closed-loop Supply Chain Considering Supply Disruption in Uncertain Environment[J]. Industrial Engineering Journal, 2021, 24(1): 140-146.

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