An integrated approach to the design and operation for spare parts logistic systems

Muh-Cherng Wu*, Yang Kang Hsu, Liang Chuan Huang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

This paper attempts to solve a comprehensive design problem for a spare part logistic system. The design factors encompass logistic network design, part vendor selection, and transportation modes selection. Two approaches to solve the problem were proposed. In Approach 1, we simultaneously considered all the design factors and proposed two algorithms (SGA-1 and TGA-1). In Approach 2, the design problem was solved in two stages. Firstly, we aimed to find a near-optimal logistic network. Secondly, with the obtained logistic network, we proposed three algorithms (SGA-2, TGA-2, and NN-GA-Tabu) to find optimal combinations for part vendor and transportation modes selection. Numerical experiments indicate that Approach 2 outperforms Approach 1, and the NN-GA-Tabu outperforms all the other four algorithms. The proposed NN-GA-Tabu might also be a good solution architecture for solving other comprehensive space search problems.

Original languageEnglish
Pages (from-to)2990-2997
Number of pages8
JournalExpert Systems with Applications
Volume38
Issue number4
DOIs
StatePublished - 1 Apr 2011

Keywords

  • Bill of material
  • Genetic algorithm
  • Logistic network design
  • Neural network
  • Spare parts
  • Tabu search

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