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 proceedingConference 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 languageEnglish
Title of host publication2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS 2018)
PublisherIEEE
ISBN (Electronic)978-1-5386-7868-8
ISBN (Print)978-1-5386-7869-5
DOIs
Publication statusPublished - 14 Jan 2019
Event1st International Conference on Electronics, Control, Optimization and Computer Science - Kenitra, Morocco
Duration: 5 Dec 20186 Dec 2018
http://www.uit.ac.ma/icecocs2018/

Conference

Conference1st International Conference on Electronics, Control, Optimization and Computer Science
Abbreviated titleICECOCS 2018
Country/TerritoryMorocco
CityKenitra
Period5/12/186/12/18
Internet address

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