Optimal Disassembly Scheduling with a Genetic Algorithm

Hideyuki Nonomiya, Yoshitaka Tanimizu

Research output: Contribution to journalConference article

3 Citations (Scopus)

Abstract

The growing amount of waste has caused severe environmental problems such as the shortage of landfill space and the high costs of waste disposal. Therefore, it is required to reuse and recycle the end-of-life products effectively from the viewpoint of economic efficiency. In this paper, we propose a disassembly scheduling method which uses a genetic algorithm to generate an optimal disassembly schedule including both the disassembly processes of multiple products and the post processes for reusing and recycling the disassembled parts for the minimization of the whole disassembly and post process times.

Original languageEnglish
Pages (from-to)218-222
Number of pages5
JournalProcedia CIRP
Volume61
DOIs
Publication statusPublished - 2017 Jan 1
Externally publishedYes
Event24th CIRP Conference on Life Cycle Engineering, CIRP LCE 2017 - Kamakura, Japan
Duration: 2017 Mar 82017 Mar 10

Fingerprint

Land fill
Waste disposal
Recycling
Genetic algorithms
Scheduling
Economics
Costs

Keywords

  • End-of-Life
  • Ganetic Algorithm
  • Optimal Disassembly Sequence
  • Recycling
  • Remanufacturing
  • Reusing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Cite this

Optimal Disassembly Scheduling with a Genetic Algorithm. / Nonomiya, Hideyuki; Tanimizu, Yoshitaka.

In: Procedia CIRP, Vol. 61, 01.01.2017, p. 218-222.

Research output: Contribution to journalConference article

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