An empirical study on solving an integrated production and distribution problem with a hybrid strategy

Feng Li, Li Zhou, Guangshu Xu, Hui Lu, Kai Wang and Sang-Bing Tsai

PLOS ONE, 2018, vol. 13, issue 11, 1-23

Abstract: Coordination is essential for improving supply chain performance, and one of the most critical factors in achieving the coordination of a supply chain is the integrated research of production and distribution. In this paper, a novel two-stage hybrid solution methodology is proposed. In the first stage, products are processed on the serial machines of multiple manufacturers located in two industrial parks. A fuzzy multi-objective scheduling optimization is performed using a modified non-dominated sorting genetic algorithm II (NSGA-II). The result obtained in the first stage is used in the second stage to optimize the distribution scheduling problem using a modified genetic annealing algorithm (GAA). Finally, simulation results verify both the feasibility and efficiency of the proposed solution methodology.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0206806

DOI: 10.1371/journal.pone.0206806

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