JIT single machine scheduling problem with periodic preventive maintenance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F16%3A10240763" target="_blank" >RIV/61989100:27510/16:10240763 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/s40092-016-0147-9" target="_blank" >https://doi.org/10.1007/s40092-016-0147-9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s40092-016-0147-9" target="_blank" >10.1007/s40092-016-0147-9</a>
Alternative languages
Result language
angličtina
Original language name
JIT single machine scheduling problem with 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 technique based on the technique for order of preference by similarity to ideal solution is applied to choose the best algorithm. Comparison results confirmed the supremacy of MOPSO to the other algorithms. (C) 2016, The Author(s).
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of industrial engineering international
ISSN
1735-5702
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
299-310
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-84979658622