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An optimal redistribution plan considering aftermath disruption in disaster management

  • Deepshikha Sarma
  • Amrit DasEmail author
  • Uttam Kumar Bera
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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.

Keywords

Disaster management Solid transportation problem Trapezoidal fuzzy number Trapezoidal neutrosophic number Redistribution Disruption 

Notes

Compliance with ethical standards

Conflict of interest

The Authors declare that they have no funding agency and no conflict of interest.

Human and animal rights statement

The article does not contain any studies with animals performed by any of the authors.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Deepshikha Sarma
    • 1
  • Amrit Das
    • 2
    Email author
  • Uttam Kumar Bera
    • 1
  1. 1.Department of MathematicsNational Institute of Technology AgartalaAgartalaIndia
  2. 2.School of Advanced SciencesVellore Institute of TechnologyVelloreIndia

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