Original scientific paper

https://doi.org/10.7307/ptt.v32i5.3445

Integration Methodology of Spare Parts Supply Network Optimization and Decision-making

Yadong Wang orcid.org/0000-0003-1551-1826 ; Army Engineering University
Quan Shi ; Army Engineering University
Zhifeng You ; Army Engineering University
Qiwei Hu ; Army Engineering University

Abstract

In order to optimize the spare parts supply network, a multi-objective optimization model is established with the objectives of the shortest supply time, the lowest risk, and the minimum supply cost. A decomposition-based multi-objective evolutionary algorithm with differential evolution strategy is introduced to solve the multi-objective model. A series of non-dominated solutions, that is, representing the optimal spare parts supply schemes are obtained. In order to comprehensively measure the performance of these solutions, suitable quantitative metrics are selected, and the secondary goal-based cross-efficiency Data Envelopment Analysis (DEA) model has been used to evaluate the efficiency of the obtained optimal schemes. The improved DEA model overcomes the problems that the efficient units cannot be sorted and the optimal weight is not unique in traditional DEA model. Finally, the self-evaluation efficiency and cross-evaluation efficiency of each scheme are obtained, and the optimal supply scheme is found based on their cross-evaluation efficiency.

Keywords

Hrčak ID:

244535

URI

https://hrcak.srce.hr/244535

Publication date:

25.9.2020.

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