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- Title
Rough interval approach to predict uncertain demand in a large scale disaster scenario: an analytical study on Assam flood.
- Authors
Sarma, Deepshikha; Das, Amrit; Castillo, Oscar; Bera, Uttam Kumar
- Abstract
Disaster response operation is required to execute in unforeseen calamitous event. This research has designed a mathematical model for solid transportation problem in disaster response to allocate relief materials in the affected areas. Minimization of total cost for disaster operation and maximization of coverage of number of affected people to serve are two main objective functions of the model. The model is considered in two environments: certain and uncertain. To handle the uncertainty, this model is solved through three different techniques namely decomposition of interval-coefficient, expected value operator and rough chance constraint programming considering the parameters are in rough interval form. To measure the efficiency of proposed model, a real-life problem is performed considering the flood of Assam and a plan is envisaged for large-scale flood. Weighted metric method is used to convert multi-objective problem to single objective problem. The said model in certain environment gives optimal result in crisp form. In uncertain measure, solutions of the model are in the form of rough interval, crisp and interval which help concern authority to make better decision for allocating relief materials in disaster. Eventually, a comparative study is performed.
- Subjects
ASSAM (India); DISASTER relief; EMERGENCY management; DISASTERS; CONSTRAINT programming; FLOODS; INTERVAL analysis; DECISION making; STOCHASTIC programming
- Publication
Sādhanā: Academy Proceedings in Engineering Sciences, 2023, Vol 48, Issue 2, p1
- ISSN
0256-2499
- Publication type
Article
- DOI
10.1007/s12046-023-02103-5