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An optimal redistribution plan considering aftermath disruption in disaster management

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Abstract

Unpredictable occurrence of any disaster emerges immeasurable demand in an affected society. Importance of immediate response in the aftermath of disaster is a crucial part of humanitarian logistic. Resource redistribution among the affected areas makes the optimal allocation in this chaotic situation. The research work has introduced a transportation plan considering the redistribution of resources from those areas which has already acquired relief and restored the normal condition to those areas still not being recovered from the effect of calamities. This research plan is developed to minimize the total cost of the relief operation as well as optimal allocation of the resources. The optimal allocation amidst the disruption of some resource storing points in the aftermath attack of disaster is also one of the key factors of the research. This research work has a great impact for decision-maker to derive an appropriate decision-making in such an anarchic situation of critical humanitarian supply chain. Due to the complexity of disaster, the model is considered in mixed uncertain environment. A numerical study is also performed to show the smooth functioning of the mathematical model assuming the uncertainty by trapezoidal neutrosophic number. Also, trapezoidal fuzzy number is implemented for uncertain parameters of the mathematical model and hereby compared with trapezoidal neutrosophic number.

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Authors and Affiliations

  1. Department of Mathematics, National Institute of Technology Agartala, Agartala, Tripura, India

    Deepshikha Sarma & Uttam Kumar Bera

  2. School of Advanced Sciences, Vellore Institute of Technology, Vellore, India

    Amrit Das

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  1. Deepshikha Sarma
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  2. Amrit Das
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  3. Uttam Kumar Bera
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Correspondence to Amrit Das.

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Communicated by O. Castillo, D. K. Jana.

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Sarma, D., Das, A. & Bera, U.K. An optimal redistribution plan considering aftermath disruption in disaster management. Soft Comput 24, 65–82 (2020). https://doi.org/10.1007/s00500-019-04287-7

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