Artikel

Production control and supplier selection under demand disruptions

This paper investigates the effects of demand disruptions on production control and supplier selection in a three-echelon supply chain system. The customer demand is modeled as a jump-diffusion process in a continuous-time setting. A two-number production-inventory policy is implemented in the production control model for the manufacturer. The objective is to minimize the long-term average total cost consisting of backlog cost, holding cost, switching cost, and ordering cost. The simulated annealing method is applied to search the optimal critical switching values. Furthermore, an improved analytical hierarchy process (AHP) is proposed to select the best supplier, based on quantitative factors such as the optimal long-term total cost obtained through the simulated annealing method under demand disruptions and qualitative factors such as quality and service. Numerical studies are conducted to demonstrate the effects of demand disruptions in the face of various risk scenarios. Managerial insights from simulation results are provided as well. Our approaches can be implemented as the "stress test" for companies in front of various supply chain disruption scenarios.

Sprache
Englisch

Erschienen in
Journal: Journal of Industrial Engineering and Management (JIEM) ; ISSN: 2013-0953 ; Volume: 3 ; Year: 2010 ; Issue: 3 ; Pages: 421-446 ; Barcelona: OmniaScience

Klassifikation
Management
Thema
supplier selection
demand disruption
simulated annealing
jump diffusion process
analytical hierarchy process

Ereignis
Geistige Schöpfung
(wer)
Chen, Xianzhe
Zhang, Jun
Ereignis
Veröffentlichung
(wer)
OmniaScience
(wo)
Barcelona
(wann)
2010

DOI
doi:10.3926/jiem.v3n3.p421-446
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

  • Chen, Xianzhe
  • Zhang, Jun
  • OmniaScience

Entstanden

  • 2010

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