Dynamic temporary blood facility location-allocation during and post-disaster periods

Bhuvnesh Sharma (), M. Ramkumar (), Nachiappan Subramanian () and Bharat Malhotra ()
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Bhuvnesh Sharma: Indian Institute of Technology Kharagpur
M. Ramkumar: Swiss Federal Institute of Technology (ETH Zurich)
Nachiappan Subramanian: University of Sussex
Bharat Malhotra: Indian Institute of Technology Kharagpur

Annals of Operations Research, 2019, vol. 283, issue 1, No 29, 705-736

Abstract: Abstract The key objective of this study is to develop a tool (hybridization or integration of different techniques) for locating the temporary blood banks during and post-disaster conditions that could serve the hospitals with minimum response time. We have used temporary blood centers, which must be located in such a way that it is able to serve the demand of hospitals in nearby region within a shorter duration. We are locating the temporary blood centres for which we are minimizing the maximum distance with hospitals. We have used Tabu search heuristic method to calculate the optimal number of temporary blood centres considering cost components. In addition, we employ Bayesian belief network to prioritize the factors for locating the temporary blood facilities. Workability of our model and methodology is illustrated using a case study including blood centres and hospitals surrounding Jamshedpur city. Our results shows that atleast six temporary blood facilities are required to satisfy the demand of blood during and post-disaster periods in Jamshedpur. The results also show that that past disaster conditions, response time and convenience for access are the most important factors for locating the temporary blood facilities during and post-disaster periods.

Keywords: Facility location; Temporary blood center; Diaster relief operations; Bayesian belief networks; Tabu search heuristic; Minimax (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (14)

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DOI: 10.1007/s10479-017-2680-3

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