A genetic algorithm approach to the availability optimization

Soepardi, A. Soepardi and Ristono, A. Ristono (2008) A genetic algorithm approach to the availability optimization. In: 9th Asia Pacific Industrial Engineering and Management Systems (APIEMS), December. 3-5 , 2008, Nusa Dua Bali Indonesia.

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Abstract

Performance measurement is of prime importance in any activity. For manufacturing plant, it is important
that operation processes be monitored for performance. Monitoring encompasses system availability, quality and
production efficiency. Here we will consider only the availability measure. One of the key points in this case study is
the examination of the application of availability optimization, applied to assembly line of Daiheiyo motorcycle,
search the maximum value of availability. The main recommendation of the study is to improve the skill of
maintenance teams. In comparison to the existing availability is 64,22%, improving the skill of maintenance teams is
expected to reach 81,12% per month.
Keywords: availability, genetic algorithm, maintenance, optimization.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: availability, genetic algorithm, maintenance, optimization.
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Depositing User: STP,MT,Dr APRIANI SOEPARDI
Date Deposited: 02 Apr 2023 13:41
Last Modified: 02 Apr 2023 13:44
URI: http://eprints.upnyk.ac.id/id/eprint/33037

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