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Production-distribution planning in a supply chain considering disruption and resilience factors

Credit to Download: 1 | Page Numbers 8 | Abstract Views: 852
Year: 2013
Present: شفاهي
COI code: NIESC02_143
Paper Language: English

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Authors Production-distribution planning in a supply chain considering disruption and resilience factors

  Seyed Mohammad Khalili - Department of Industrial Engineering, College of Engineering, University of Tehran, Iran
  Fariborz Jolai - Department of Industrial Engineering, College of Engineering, University of Tehran, Iran
  Maziyar Yazdani - Department of Industrial Engineering, College of Engineering, University of Tehran, Iran
  Morteza Shiripour - Department of Industrial Engineering, College of Engineering, University of Tehran, Iran

Abstract:

Nowadays resilience has become a critical aspect of infrastructures. Supply chains have been increasingly exposed to the risk of unpredicted disruptions causing significant economic forfeitures. At the same time, theexisting literature features a limited number of studies, which consider resilience of facilities for improvingproduction-distribution network ability. In this paper, we expand on traditional integrated productiondistributionmodels by including pre-disruption investment options, in addition to post-event recovery activities, as means to network resilience. The network under consideration includes three layers;manufacturing sites, distribution centers and customers’ zones. The problem is formulated as a threeobjectives stochastic optimization model. The model minimizes total expected cost and worst-case cost as well as maximizes the resilience of the production-distribution network simultaneously. The model seeks investment-recovery combinations that optimize the overall resilience of the production-distributionnetworks. In this study the Reservation Level driven Tchebycheff Procedure (RLTP) which is one of the reference point methods, is used to find the non-dominated solutions of our model. To approve the capability of our model a set of numerical experiments illustrates how changes to disruption scenarios probabilities affect the optimal resilient design investments.

Keywords:

Production-distribution, Resilience, Conditional value-at-risk, Mixed integer programming

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COI code: NIESC02_143

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Khalili, Seyed Mohammad; Fariborz Jolai; Maziyar Yazdani & Morteza Shiripour, 2013, Production-distribution planning in a supply chain considering disruption and resilience factors, 02nd National Conference on Indurtrial Engineering & Systems, نجف آباد, دانشگاه آزاد اسلامي واحد نجف آباد, گروه مهندسي صنايع, https://www.civilica.com/Paper-NIESC02-NIESC02_143.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Khalili, Seyed Mohammad; Fariborz Jolai; Maziyar Yazdani & Morteza Shiripour, 2013)
Second and more: (Khalili; Jolai; Yazdani & Shiripour, 2013)
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Type: state university
Paper No.: 55403
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