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Information Journal Paper

Title

Multi-Objective Optimization Approach for Managing Volunteers in Supply Chain and Crisis Logistics

Pages

  27-42

Abstract

 One of the most important factors affecting the rate of damages and casualties during natural disasters is the existence of an effective crisis management system in which the volunteers are recognized as the main factor. In the present research, a multi-objective model has been introduced for allocating volunteers with different skills and different levels thereof to humanitarian affairs. The objectives of the model are to minimize total unfulfilled demands as well as increasing volunteers’ job satisfaction. Specifically, in this article the crisis zone has been divided into smaller groups; then the volunteers with different skills of different levels were allocated to them depending on each zone needs; in a way, that total degree of volunteers’ abilities in each group is more than the threshold specified by the decision-makers. Finally, the introduced model was solved by an LP-metric method and in order to assess the behavior of the model, a sensitivity analysis has been carried out on various parameters. The results show that volunteers must be assigned to affairs related to their skills, but to the extent that the total of unmet demands does not increase more than usual.

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  • Cite

    APA: Copy

    FORGHANI, MOHAMMAD ALI, & Pirastehfar, Maryam. (2018). Multi-Objective Optimization Approach for Managing Volunteers in Supply Chain and Crisis Logistics. EMERGENCY MANAGEMENT, 7(13 ), 27-42. SID. https://sid.ir/paper/393449/en

    Vancouver: Copy

    FORGHANI MOHAMMAD ALI, Pirastehfar Maryam. Multi-Objective Optimization Approach for Managing Volunteers in Supply Chain and Crisis Logistics. EMERGENCY MANAGEMENT[Internet]. 2018;7(13 ):27-42. Available from: https://sid.ir/paper/393449/en

    IEEE: Copy

    MOHAMMAD ALI FORGHANI, and Maryam Pirastehfar, “Multi-Objective Optimization Approach for Managing Volunteers in Supply Chain and Crisis Logistics,” EMERGENCY MANAGEMENT, vol. 7, no. 13 , pp. 27–42, 2018, [Online]. Available: https://sid.ir/paper/393449/en

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