Solving an assembly sequence optimisation problem using the genetic algorithm

Fawaz Saad Alharbi, Qian Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

If a product is made of more than one component, then it needs to be assembled. Complexity of assembling a product is largely subject to the implication of product design as well as the number of assembly components that may also affect attainable assembly sequences. In addition, it is widely understood that efficiency of assembling a product can be partially achieved by reducing assembly times (therefore costs) and this is notably important for small and medium-sized manufacturing companies. Thus, it is useful for seeking an optimal assembly sequence of a product at the early product design stage. This paper presents a study by applying the genetic algorithm (GA) for solving an assembly sequence optimisation problem of a car engine pump valve providing a quick solution in obtaining an optimal or near-optimal assembly sequence of the product.
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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