Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Total weighted tardiness in the permutation flow shop under uncertainty
Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).
Euro-Med University of Fes, (UEMF), Route de Meknes, Fès, 3007, Morocco.
Laboratory of Engineering, of Industrial Management and Innovation, Faculty of Sciences and Technology, Hassan 1st University, PO Box 577, Settat, Morocco.
Laboratory of Engineering, of Industrial Management and Innovation, Faculty of Sciences and Technology, Hassan 1st University, PO Box 577, Settat, Morocco.
2021 (English)In: IFAC-PapersOnLine, ISSN 2405-8971, E-ISSN 2405-8963, Vol. 54, no 1, p. 1174-1180Article in journal (Refereed) Published
Abstract [en]

This paper addresses the total weighted tardiness permutation flow shop with uncertain processing time and a distinct due date. It proposes an uncertain chance-constrained programming model. Moreover, we employs some properties of uncertainty theory to build the corresponding deterministic equivalent model which is solved by an eagle strategy combined with sine-cosine algorithm. Finally, numerical results are reported to demonstrate the efficiency and applicability of the proposed model.

Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 54, no 1, p. 1174-1180
Keywords [en]
Egale strategy (ES), Permutation flow shop problem (PFSP), Sine-cosine algorithm (SCA), Total weighted tardiness (TWT), Uncertainty theory (UT), Computer programming, Egale strategy, Flow shop problems, Permutation flow shop problem, Permutation flowshops, Sine-cosine algorithm, Total weighted tardiness, Total-weighted tardiness, Uncertainty theory, Machine shop practice
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hj:diva-55336DOI: 10.1016/j.ifacol.2021.08.138Scopus ID: 2-s2.0-85120689951Local ID: POA;intsam;783165OAI: oai:DiVA.org:hj-55336DiVA, id: diva2:1619275
Conference
17th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2021, 7 June 2021 through 9 June 2021
Available from: 2021-12-13 Created: 2021-12-13 Last updated: 2025-03-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus
By organisation
Jönköping AI Lab (JAIL)
In the same journal
IFAC-PapersOnLine
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 85 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf