An Interactive Possibilistic Programming Approach for Blood Bank Locations with Emergency Referral

Abstract

Regionalisation of Local Blood Banks (LBBs) is so vital for blood supply to facilitate the clinics in the obligated regions to go along with the requests in typical conditions and the moments of crisis. Determination of location of LBBs is a key factor in the selection of alternatives in the blood store networks. In this paper, we first develop a new multi-objective possibility mixed integer linear programming model (MOPMILP) for blood bank location problem considering distinctive contradictive goals at the same time and additionally the loose way of some basic parameters, for example, requirements of hospitals and number of emergency referrals for clinics or hospitals. At that point, in the wake of applying legitimate procedures for changing over this possibilistic model into a precise novel multi-objective linear model (MOLP), we propose a novel intelligent fuzzy method to understand this MOLP and find a proper trade off arrangement. Eventually, we propose a careful analysis and will see the performance of the proposed model.

Keywords: Possibilistic Programming, Blood Logistics, Emergency Referral, Limited Traveled Distance, Compromise Solution

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