%0 Journal Article
%T A New Stochastic Model for Emergency Location Problem with Minimax Regret Model (Case Study: Mashhad)
%J Journal of Industrial Management Perspective
%I Shahid Beheshti University
%Z 2251-9874
%A Esmaeeli Kakhaki, Farshid
%A Naji Azimi, Zahra
%A Pooya, Alireza
%A Tavakoli, Ahmad
%D 2020
%\ 06/21/2020
%V 10
%N 2
%P 161-191
%! A New Stochastic Model for Emergency Location Problem with Minimax Regret Model (Case Study: Mashhad)
%K system dynamics
%K Location-Allocation Problem
%K Coburn and Spence Equation
%K Minimax Regret Model
%R 10.52547/jimp.10.2.161
%X The recent increase in the number of natural disasters, earthquake in particular, underlines the need to investigate the problem of emergency location. In this study, a new hybrid approach is presented for emergency location-allocation problem which incorporates GIS, system dynamics, Coburn and Spence model, and stochastic programming. In the proposed approach, first, the candidate places are identified based on a number of indices using GIS. Since the emergency location demand is considered as an uncertain parameter depending on different scenarios of the earthquake, in the next step, a combination of system dynamics and the casualty estimation model proposed by Coburn and Spence is used to estimate the demand. Then, proposing a stochastic location-allocation model, the demand is assigned to the candidate places determined by GIS. Finally, the minimax regret model is used to identify the final locations.
%U https://jimp.sbu.ac.ir/article_87542_3725d8e9be7c57679516620fbb78b9fb.pdf