Journal of System Simulation
Abstract
Abstract: Aiming at supply chain disruptions, two effective supply chain recovery strategies are proposed, namely, a supplier’s preset emergency inventory strategy and a manufacturer’s product change strategy, meanwhile, emergency inventory storage cost and products return rate after change are also taken into consideration. In order to maximize the manufacturer’s profit and customer satisfaction, a single-objective model and a bi-objective model are established, respectively. The optimization problems in the two models are transformed into mixed integer programming problems, moreover, corresponding solution algorithms are presented based on ILOG CPLEX. The simulation results show that the disruption recovery strategies proposed can not only help suppliers to reduce losses effectively, but also meet the market demands well.
Recommended Citation
Yi, Yang; Chen, Peng; Yang, Yujiu; and Wang, Yulong
(2022)
"Research on Supply Chain Recovery Strategy under Disruption Risks,"
Journal of System Simulation: Vol. 33:
Iss.
12, Article 2.
DOI: 10.16182/j.issn1004731x.joss.21-0825
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol33/iss12/2
First Page
2771
Revised Date
2021-10-08
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-0825
Last Page
2781
CLC
TP391.9
Recommended Citation
Yang Yi, Peng Chen, Yang Yujiu, Wang Yulong. Research on Supply Chain Recovery Strategy under Disruption Risks[J]. Journal of System Simulation, 2021, 33(12): 2771-2781.
DOI
10.16182/j.issn1004731x.joss.21-0825
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