Multi-Objective Programming for Supplier Selection and Order Allocation Under Disruption Risk and Demand, Quality, and Delay Time Uncertainties

Hanane Assellaou, Brahim Ouhbi and Bouchra Frikh
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Hanane Assellaou: LM2I Laboratory, ENSAM-Meknes, Mouly Ismail University, Meknes, Morocco
Brahim Ouhbi: LM2I Laboratory, ENSAM-Meknes, Mouly Ismail University, Meknes, Morocco
Bouchra Frikh: LTTI Laboratory, EST-Fès, Moulay Abdellah University, Fès, Morocco

International Journal of Business Analytics (IJBAN), 2018, vol. 5, issue 2, 30-56

Abstract: The purpose of this article is to develop a new stochastic multi objective optimization model to mitigate disruption risks while simultaneously addressing operational risks as well. Indeed, this model considers five objective functions for selecting a set of suppliers considering disruption risk and stochastic demand, quality, and delay time. The authors use two types of risk evaluation models: value-at-risk (VaR) and conditional value-at-risk (CVaR). Two examples are given to illustrate our model and two solution methods are compared and tested.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jban00:v:5:y:2018:i:2:p:30-56

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