Intelligent Planning Using Genetic Algorithm for Automated Disassembly

Soran Parsa; Mozafar Saadat

doi:10.3233/978-1-61499-902-7-189

Intelligent Planning Using Genetic Algorithm for Automated Disassembly

Soran Parsa, Mozafar Saadat

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Advances in Manufacturing Technology XXXII
Subtitle of host publication	Proceedings of the 16th International Conference on Manufacturing Research, ICMR 2018, incorporating the 33rd National Conference on Manufacturing Research
Editors	Peter Thorvald, Keith Case
Publisher	IOS Press BV
Pages	189-194
Number of pages	6
Volume	8
ISBN (Electronic)	9781614994398, 9781614999027
ISBN (Print)	9781614999010
DOIs	https://doi.org/10.3233/978-1-61499-902-7-189
Publication status	Published - 11 Sep 2018
Externally published	Yes
Event	16th International Conference on Manufacturing Research - Skovde, Sweden Duration: 11 Sep 2018 → 13 Sep 2018 Conference number: 16

Publication series

Name	Advances in Transdisciplinary Engineering
Publisher	IOS Press BV
Volume	8
ISSN (Print)	2352-751X
ISSN (Electronic)	2352-7528

Conference

Conference	16th International Conference on Manufacturing Research
Abbreviated title	ICMR 2018
Country/Territory	Sweden
City	Skovde
Period	11/09/18 → 13/09/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3233/978-1-61499-902-7-189Licence: Unspecified

Cite this

Parsa, S., & Saadat, M. (2018). Intelligent Planning Using Genetic Algorithm for Automated Disassembly. In P. Thorvald, & K. Case (Eds.), Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, ICMR 2018, incorporating the 33rd National Conference on Manufacturing Research (Vol. 8, pp. 189-194). (Advances in Transdisciplinary Engineering; Vol. 8). IOS Press BV. https://doi.org/10.3233/978-1-61499-902-7-189

Parsa, Soran ; Saadat, Mozafar. / Intelligent Planning Using Genetic Algorithm for Automated Disassembly. Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, ICMR 2018, incorporating the 33rd National Conference on Manufacturing Research. editor / Peter Thorvald ; Keith Case. Vol. 8 IOS Press BV, 2018. pp. 189-194 (Advances in Transdisciplinary Engineering).

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title = "Intelligent Planning Using Genetic Algorithm for Automated Disassembly",

abstract = "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.",

keywords = "Automated disassembly, Disassembly planning, Genetic algorithm, Intelligent disassembly",

author = "Soran Parsa and Mozafar Saadat",

note = "Funding Information: This research was carried out as part of the AUTOREMAN project which is sponsored by EPSRC. Publisher Copyright: {\textcopyright} 2018 The authors and IOS Press. All rights reserved.; 16th International Conference on Manufacturing Research, ICMR 2018 ; Conference date: 11-09-2018 Through 13-09-2018",

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language = "English",

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Parsa, S & Saadat, M 2018, Intelligent Planning Using Genetic Algorithm for Automated Disassembly. in P Thorvald & K Case (eds), Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, ICMR 2018, incorporating the 33rd National Conference on Manufacturing Research. vol. 8, Advances in Transdisciplinary Engineering, vol. 8, IOS Press BV, pp. 189-194, 16th International Conference on Manufacturing Research, Skovde, Sweden, 11/09/18. https://doi.org/10.3233/978-1-61499-902-7-189

Intelligent Planning Using Genetic Algorithm for Automated Disassembly. / Parsa, Soran; Saadat, Mozafar.

Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, ICMR 2018, incorporating the 33rd National Conference on Manufacturing Research. ed. / Peter Thorvald; Keith Case. Vol. 8 IOS Press BV, 2018. p. 189-194 (Advances in Transdisciplinary Engineering; Vol. 8).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

KW - Automated disassembly

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KW - Genetic algorithm

KW - Intelligent disassembly

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Parsa S, Saadat M. Intelligent Planning Using Genetic Algorithm for Automated Disassembly. In Thorvald P, Case K, editors, Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, ICMR 2018, incorporating the 33rd National Conference on Manufacturing Research. Vol. 8. IOS Press BV. 2018. p. 189-194. (Advances in Transdisciplinary Engineering). doi: 10.3233/978-1-61499-902-7-189

Intelligent Planning Using Genetic Algorithm for Automated Disassembly

Abstract

Publication series

Conference

UN SDGs

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