Volume 16, Issue 4 (12-2019)                   2019, 16(4): 55-72 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Jafarnejad Chaghooshi A, Arab A, Ghasemian Sahebi I. Providing a Mathematical Model for Evaluating Resilient Suppliers and Order Allocation in Automotive Related Industries. Journal of Operational Research and Its Applications. 2019; 16 (4) :55-72
URL: http://jamlu.liau.ac.ir/article-1-1649-en.html
University of Tehran, Department of Industrial Management, Tehran, Iran.
Abstract:   (1571 Views)
Today's supply chains are faced with many challenges and threats such as natural disasters, cyber-attacks, boycotts, disruptions in supply, production and distribution, etc. So selection of resilience supplier can significantly reduce purchasing costs and lead times and increase the business continuity in case of disruptions. The aim of this study is evaluating the suppliers and selecting best resilient suppliers and allocating the order to them by using combination of multi-criteria decision-making and mathematical modeling method. For this purpose, first by using FDELPHI method, extracted supplier resiliency criteria from literature approved by expert's opinion. Then by BWM, the weights of accepted criteria was determined and each supplier evaluated by using FMULTIMOORA method. Finally, Multi Choice Goal Programming model based on the results of FMULTIMOORA method, proposed to order allocation of resilient suppliers.
Full-Text [PDF 857 kb]   (405 Downloads)    
Type of Study: Research | Subject: Special
Received: 2018/03/4 | Accepted: 2019/05/22 | Published: 2019/12/28

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.