Artikel

JIT single machine scheduling problem with periodic preventive maintenance

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.

Sprache
Englisch

Erschienen in
Journal: Journal of Industrial Engineering International ; ISSN: 2251-712X ; Volume: 12 ; Year: 2016 ; Pages: 299-310 ; Heidelberg: Springer

Klassifikation
Management
Thema
Scheduling
Single machine
Periodic maintenance
Total earliness-tardiness
Multi-objective optimization
MCDM

Ereignis
Geistige Schöpfung
(wer)
Shahriari, Mohammadreza
Shoja, Naghi
Zade, Amir Ebrahimi
Barak, Sasan
Sharifi, Mani
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2016

DOI
doi:10.1007/s40092-016-0147-9
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Shahriari, Mohammadreza
  • Shoja, Naghi
  • Zade, Amir Ebrahimi
  • Barak, Sasan
  • Sharifi, Mani
  • Springer

Entstanden

  • 2016

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