An optimal redistribution plan considering aftermath disruption in disaster management
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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.
KeywordsDisaster management Solid transportation problem Trapezoidal fuzzy number Trapezoidal neutrosophic number Redistribution Disruption
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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.
- Atanassov KT (1983) Intuitionistic fuzzy sets, VII ITKR’s session, Sofia June 1983 (Deposed in Central Sci.- Techm Library og Bulg.Acad.of Sci. 1697/84) (in Bulg.)Google Scholar
- Broumi S, Smarandache F, Talea M, Bakali A (2016) Single valued neutrosophic graphs: degree, order and size. In: 2016 IEEE international conference on fuzzy systems (FUZZ-IEEE). IEEE, pp 2444–2451Google Scholar
- Broumi , Talea M, Smarandache F, Bakali A (2016) Decision-making method based on the interval valued neutrosophic graph. In: Future technologies conference (FTC). IEEE, pp 44–50Google Scholar
- Broumi S, Bakali A, Talea M, Smarandache F (2016) Shortest path problem under triangular fuzzy neutrosophic information. Infinite study. IEEE, pp 169–174Google Scholar
- Broumi S, Bakali A, Talea M, Smarandache F (2016) Isolated single valued neutrosophic graphs. Infinite studyGoogle Scholar
- Dantzig G (2016) Linear programming and extensions. Princeton University Press, PrincetonGoogle Scholar
- Gao X, Lee GM (2018) A stochastic programming model for multi-commodity redistribution planning in disaster response. In: Production management for data-driven, intelligent, collaborative, and sustainable manufacturing. APMS 2018. IFIP advances in information and communication technology. Springer, Cham, vol 535, pp 67–78Google Scholar
- https://en.wikipedia.org/wiki/Humanitarian_Logistics (2017). Accessed Sept 2017
- Mohamed M, Abdel-Basset M, Zaied ANH, Smarandache F (2017) Neutrosophic integer programming problem. Infinite studyGoogle Scholar
- Opit PF, Lee W-S, Kim BS, Nakade K (2013) Stock pre positioning model with unsatisfied relief demand constraint to support emergency. Oper Supply Chain Manag 6(2):103–110Google Scholar