Multi-objective optimization for periodic preventive maintenance

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F15%3A10240757" target="_blank" >RIV/61989100:27510/15:10240757 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/IESM.2015.7380154" target="_blank" >http://dx.doi.org/10.1109/IESM.2015.7380154</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IESM.2015.7380154" target="_blank" >10.1109/IESM.2015.7380154</a>

Result language
angličtina
Original language name
Multi-objective optimization for periodic preventive maintenance
Original language description
This article investigates a JIT single machine scheduling problem with a periodic preventive maintenance. Also to maintain the quality of the products, there is a limitation on the maximum number of allowable jobs in each period. The proposed bi-objective mixed integer model minimizes total earliness-tardiness and makespan simultaneously. Due to the computational complexity of the problem, multi-objective particle swarm optimization (MOPSO) algorithm is implemented. Also, as well as MOPSO, two other optimization algorithms are used for comparing the results. Eventually, Taguchi method with metrics analysis is presented to tune the algorithms' parameters and a multiple criterion decision making (MCDM) technique based on the technique for order of preference by similarity to ideal solution (TOPSIS) is applied to choose the best algorithm. Comparison results confirmed supremacy of MOPSO to the other algorithms. (C) 2015 International Institute for Innovation, Industrial Engineering and Entrepreneurship - I4e2.
Czech name
—
Czech description
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Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of 2015 International Conference on Industrial Engineering and Systems Management, IEEE IESM 2015
ISBN
978-2-9600532-6-5
ISSN
—
e-ISSN
neuvedeno
Number of pages
10
Pages from-to
173-182
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
New York
Event location
Sevilla
Event date
Oct 21, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000380454700021

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