Optimal Disassembly Scheduling with a Genetic Algorithm

Hideyuki Nonomiya; Yoshitaka Tanimizu

doi:10.1016/j.procir.2016.11.177

Optimal Disassembly Scheduling with a Genetic Algorithm

Hideyuki Nonomiya, Yoshitaka Tanimizu^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

5 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 language	English
Pages (from-to)	218-222
Number of pages	5
Journal	Procedia CIRP
Volume	61
DOIs	https://doi.org/10.1016/j.procir.2016.11.177
Publication status	Published - 2017
Externally published	Yes
Event	24th CIRP Conference on Life Cycle Engineering, CIRP LCE 2017 - Kamakura, Japan Duration: 2017 Mar 8 → 2017 Mar 10

Keywords

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

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering

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10.1016/j.procir.2016.11.177

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title = "Optimal Disassembly Scheduling with a Genetic Algorithm",

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.",

keywords = "End-of-Life, Ganetic Algorithm, Optimal Disassembly Sequence, Recycling, Remanufacturing, Reusing",

author = "Hideyuki Nonomiya and Yoshitaka Tanimizu",

note = "Publisher Copyright: {\textcopyright} 2017 The Authors.; 24th CIRP Conference on Life Cycle Engineering, CIRP LCE 2017 ; Conference date: 08-03-2017 Through 10-03-2017",

year = "2017",

doi = "10.1016/j.procir.2016.11.177",

language = "English",

volume = "61",

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journal = "Procedia CIRP",

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TY - JOUR

T1 - Optimal Disassembly Scheduling with a Genetic Algorithm

AU - Nonomiya, Hideyuki

AU - Tanimizu, Yoshitaka

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - End-of-Life

KW - Ganetic Algorithm

KW - Optimal Disassembly Sequence

KW - Recycling

KW - Remanufacturing

KW - Reusing

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U2 - 10.1016/j.procir.2016.11.177

DO - 10.1016/j.procir.2016.11.177

M3 - Conference article

AN - SCOPUS:85020008072

SN - 2212-8271

VL - 61

SP - 218

EP - 222

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 24th CIRP Conference on Life Cycle Engineering, CIRP LCE 2017

Y2 - 8 March 2017 through 10 March 2017

ER -

Optimal Disassembly Scheduling with a Genetic Algorithm

Abstract

Keywords

ASJC Scopus subject areas

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