Artikel

A robust multi-objective global supplier selection model under currency fluctuation and price discount

Robust supplier selection problem, in a scenario- based approach has been proposed, when the demand and exchange rates are subject to uncertainties. First, a deterministic multi-objective mixed integer linear programming is developed; then, the robust counterpart of the proposed mixed integer linear programming is presented using the recent extension in robust optimization theory. We discuss decision variables, respectively, by a two-stage stochastic planning model, a robust stochastic optimization planning model which integrates worst case scenario in modeling approach and finally by equivalent deterministic planning model. The experimental study is carried out to compare the performances of the three models. Robust model resulted in remarkable cost saving and it illustrated that to cope with such uncertainties, we should consider them in advance in our planning. In our case study different supplier were selected due to this uncertainties and since supplier selection is a strategic decision, it is crucial to consider these uncertainties in planning approach.

Sprache
Englisch

Erschienen in
Journal: Journal of Industrial Engineering International ; ISSN: 2251-712X ; Volume: 13 ; Year: 2017 ; Issue: 2 ; Pages: 161-169 ; Heidelberg: Springer

Klassifikation
Management
Thema
Supplier selection
Robust programming
Discount
Currency exchange rate uncertainty

Ereignis
Geistige Schöpfung
(wer)
Zarindast, Atousa
Hosseini, Seyed Mohamad Seyed
Pishvaee, Mir Saman
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2017

DOI
doi:10.1007/s40092-016-0177-3
Handle
Letzte Aktualisierung
10.03.2025, 11:41 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

  • Zarindast, Atousa
  • Hosseini, Seyed Mohamad Seyed
  • Pishvaee, Mir Saman
  • Springer

Entstanden

  • 2017

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