An integrated TSP-GA with EOL cost model for selecting the best EOL option

Zakri Ghazalli, Atsuo Murata

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This paper presents our research works on integrating disassembly sequence planning with cost model for end-of-life (EOL) product. This paper has two objectives. The first objective is to optimize disassembly sequence of the EOL product. We integrate a traveling salesman problem approach with genetic algorithm in finding the optimal disassembly sequence for disassembling the EOL product. Based on this optimal sequence, the second objective is to identify the best EOL option. We employ EOL profits and net present value of parts and subassemblies of the EOL product to determine the best EOL option of components and parts of the EOL product. The predicted results showed that the developed cost model has reached a good correspondence with the established methods.

Original languageEnglish
Pages (from-to)775-792
Number of pages18
JournalInternational Journal of Industrial Engineering Computations
Volume2
Issue number4
DOIs
Publication statusPublished - 2011

Fingerprint

Traveling salesman problem
Costs
Profitability
Genetic algorithms
Planning

Keywords

  • Disassembly sequence planning
  • Economical cost
  • End-of-life profit
  • Genetic algorithm environmental cost
  • Net present value
  • Traveling salesman problem

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

An integrated TSP-GA with EOL cost model for selecting the best EOL option. / Ghazalli, Zakri; Murata, Atsuo.

In: International Journal of Industrial Engineering Computations, Vol. 2, No. 4, 2011, p. 775-792.

Research output: Contribution to journalArticle

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