Intelligent Planning Using Genetic Algorithm for Automated Disassembly

Soran Parsa, Mozafar Saadat

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)


Intelligent disassembly process planning is a relatively new approach to deal with the end-of-life (EOF) products. Demands for recycling and remanufacturing EOF products, limitation of the natural resources and new environmental regulations make an efficient disassembly process vital. The main problem to find an efficient plan for disassembly process is that the number of possible sequences rises dramatically with the number of the parts and makes it NP-hard type problem. An effective method to optimize the disassembly sequences is using genetic algorithm (GA). In this work, a genetic algorithm method based on robotic disassembly process was successfully used to optimize robotic disassembly sequence of a case study product.

Original languageEnglish
Title of host publicationAdvances in Manufacturing Technology XXXII
Subtitle of host publicationProceedings of the 16th International Conference on Manufacturing Research, ICMR 2018, incorporating the 33rd National Conference on Manufacturing Research
EditorsPeter Thorvald, Keith Case
PublisherIOS Press BV
Number of pages6
ISBN (Electronic)9781614994398, 9781614999027
ISBN (Print)9781614999010
Publication statusPublished - 11 Sep 2018
Externally publishedYes
Event16th International Conference on Manufacturing Research - Skovde, Sweden
Duration: 11 Sep 201813 Sep 2018
Conference number: 16

Publication series

NameAdvances in Transdisciplinary Engineering
PublisherIOS Press BV
ISSN (Print)2352-751X
ISSN (Electronic)2352-7528


Conference16th International Conference on Manufacturing Research
Abbreviated titleICMR 2018

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