Title: Reliability optimisation of the supply chain system based on seru production

Authors: Zhe Zhang; Yalin Li; Lili Wang

Addresses: School of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, China ' School of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, China ' School of Management and Engineering, Nanjing University, Nanjing, 210093, China

Abstract: This paper focuses on the manufacturers implementing seru production, and constructs an integer programming model aiming at maximising the reliability of supply chain system based on considering the supplier's on-time supply rate of parts, worker assignment, and production plan comprehensively. In view of the complexity of proposed problem, a hybrid search strategy is designed by combining genetic algorithm (GA) and variable neighbourhood search (VNS), i.e., a hybrid genetic algorithm with variable neighbourhood search (HGAVNS) algorithm based on the multi-level encoding method. To verify the advance of proposed HGAVNS algorithm, the comparison with GA and VNS is presented, and experimental results show that HGAVNS performs better in solving proposed problem.

Keywords: seru production; supply chain reliability; genetic algorithm; variable neighbourhood search; hybrid algorithm.

DOI: 10.1504/IJADS.2024.140870

International Journal of Applied Decision Sciences, 2024 Vol.17 No.5, pp.615 - 635

Received: 15 Nov 2022
Accepted: 17 Dec 2022
Published online: 03 Sep 2024 *

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