A robust possibilistic optimization model to relief commodities distribution network under uncertainty

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SABOUHI FATEMEH; JABBARZADEH ARMIN

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Journal: EMERGENCY MANAGEMENT Year:2019 | Volume:8 | Issue:15 Page(s): 45-53

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Information Journal Paper

Title

A robust possibilistic optimization model to relief commodities distribution network under uncertainty

Author(s)

SABOUHI FATEMEH | JABBARZADEH ARMIN | Issue Writer Certificate

Keywords

Robust possibilistic programming modelQ1

Relief CommoditiesQ1

Time WindowQ1

RoutingQ1

SchedulingQ1

Abstract

One of the most important issues in disaster response phase is to supply the relief items which is needed by affected areas. The uncertainty of this demand causes many problems. This paper presents a novel Robust possibilistic programming model for a Routing and Scheduling problem in a Relief Commodities distribution network under demand uncertainty. In Relief Commodities distribution operations, the possibility of servicing each affected area by multiple vehicles and Time Window constraint have been considered. The objective of the proposed model is to reduce the total time required by the relief vehicles to reach the affected areas. The fourth region of Tehran city as a case study is provided to illustrate the performance and applicability of the proposed model. Finally, to assess the robustness of the solutions obtained by the novel robust optimization model, they are compared to those generated by the deterministic mixed-integer linear programming model in a number of realizations under different test problems.

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APA: Copy

SABOUHI, FATEMEH, & JABBARZADEH, ARMIN. (2019). A robust possibilistic optimization model to relief commodities distribution network under uncertainty. EMERGENCY MANAGEMENT, 8(15 ), 45-53. SID. https://sid.ir/paper/390532/en

Vancouver: Copy

SABOUHI FATEMEH, JABBARZADEH ARMIN. A robust possibilistic optimization model to relief commodities distribution network under uncertainty. EMERGENCY MANAGEMENT[Internet]. 2019;8(15 ):45-53. Available from: https://sid.ir/paper/390532/en

IEEE: Copy

FATEMEH SABOUHI, and ARMIN JABBARZADEH, “A robust possibilistic optimization model to relief commodities distribution network under uncertainty,” EMERGENCY MANAGEMENT, vol. 8, no. 15 , pp. 45–53, 2019, [Online]. Available: https://sid.ir/paper/390532/en

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