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

سال انتشار: 1392
محل انتشار: دومین کنفرانس ملی مهندسی صنایع و سیستم ها
کد COI اختصاصی: NIESC02_143
زبان مقاله: انگلیسی
تعداد مشاهده: 1265

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نویسندگان

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

چکیده

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.

کلیدواژه ها

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

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