Applying a glowworm swarm algorithm for optimising the assembly sequence of a car engine pump valve

Fawaz Saad Alharbi; Qian Wang

doi:10.1109/ICECOCS.2018.8610522

Applying a glowworm swarm algorithm for optimising the assembly sequence of a car engine pump valve

Fawaz Saad Alharbi, Qian Wang

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

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Abstract

When assembling a product, assembly sequence is subject to the inherent nature of assembly components as well as the number of assembly components that may also increase complexity of assembly process. Additionally, assembly efficiency relies on reduction of assembly time that is partially affected by determination of an optimal assembly sequence of a product. A study through a literature review shows that the glowworm swarm optimisation algorithm (GSOA) can be possibly useful for solving assembly sequence optimisation problems. This paper presents an investigation into a GSOA used for solving an assembly sequence problem of a car engine pump valve. The study demonstrates that the GSOA can provide a quick solution in obtaining an optimal or near-optimal assembly sequence of the assembled product that is manufactured in a small-sized company.

Original language	English
Title of host publication	2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS 2018)
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	978-1-5386-7868-8
ISBN (Print)	978-1-5386-7869-5
DOIs	https://doi.org/10.1109/ICECOCS.2018.8610522
Publication status	Published - 14 Jan 2019
Event	1st International Conference on Electronics, Control, Optimization and Computer Science - Kenitra, Morocco Duration: 5 Dec 2018 → 6 Dec 2018 http://www.uit.ac.ma/icecocs2018/

Conference

Conference	1st International Conference on Electronics, Control, Optimization and Computer Science
Abbreviated title	ICECOCS 2018
Country/Territory	Morocco
City	Kenitra
Period	5/12/18 → 6/12/18
Internet address	http://www.uit.ac.ma/icecocs2018/

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10.1109/ICECOCS.2018.8610522

FAWAZ SAAD ALHARBI- GSOA CONFERENCE PAPER-1
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Accepted author manuscript (Post-print), 529 KB

Cite this

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title = "Applying a glowworm swarm algorithm for optimising the assembly sequence of a car engine pump valve",

abstract = "When assembling a product, assembly sequence is subject to the inherent nature of assembly components as well as the number of assembly components that may also increase complexity of assembly process. Additionally, assembly efficiency relies on reduction of assembly time that is partially affected by determination of an optimal assembly sequence of a product. A study through a literature review shows that the glowworm swarm optimisation algorithm (GSOA) can be possibly useful for solving assembly sequence optimisation problems. This paper presents an investigation into a GSOA used for solving an assembly sequence problem of a car engine pump valve. The study demonstrates that the GSOA can provide a quick solution in obtaining an optimal or near-optimal assembly sequence of the assembled product that is manufactured in a small-sized company.",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Alharbi, FS & Wang, Q 2019, Applying a glowworm swarm algorithm for optimising the assembly sequence of a car engine pump valve. in 2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS 2018). Institute of Electrical and Electronics Engineers Inc., 1st International Conference on Electronics, Control, Optimization and Computer Science, Kenitra, Morocco, 5/12/18. https://doi.org/10.1109/ICECOCS.2018.8610522

Applying a glowworm swarm algorithm for optimising the assembly sequence of a car engine pump valve. / Alharbi, Fawaz Saad; Wang, Qian.
2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS 2018). Institute of Electrical and Electronics Engineers Inc., 2019.

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

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N2 - When assembling a product, assembly sequence is subject to the inherent nature of assembly components as well as the number of assembly components that may also increase complexity of assembly process. Additionally, assembly efficiency relies on reduction of assembly time that is partially affected by determination of an optimal assembly sequence of a product. A study through a literature review shows that the glowworm swarm optimisation algorithm (GSOA) can be possibly useful for solving assembly sequence optimisation problems. This paper presents an investigation into a GSOA used for solving an assembly sequence problem of a car engine pump valve. The study demonstrates that the GSOA can provide a quick solution in obtaining an optimal or near-optimal assembly sequence of the assembled product that is manufactured in a small-sized company.

AB - When assembling a product, assembly sequence is subject to the inherent nature of assembly components as well as the number of assembly components that may also increase complexity of assembly process. Additionally, assembly efficiency relies on reduction of assembly time that is partially affected by determination of an optimal assembly sequence of a product. A study through a literature review shows that the glowworm swarm optimisation algorithm (GSOA) can be possibly useful for solving assembly sequence optimisation problems. This paper presents an investigation into a GSOA used for solving an assembly sequence problem of a car engine pump valve. The study demonstrates that the GSOA can provide a quick solution in obtaining an optimal or near-optimal assembly sequence of the assembled product that is manufactured in a small-sized company.

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ER -

Applying a glowworm swarm algorithm for optimising the assembly sequence of a car engine pump valve

Abstract

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