چکیده:
Occurrence of natural disaster inflicts irreparable injuries and symptoms on humans. In such conditions, affected people are waiting for medical services and relief commodities. Thus, quick reaction of medical services and relief commodities supply play important roles in improving natural disaster management. In this paper, a multi-objective non-linear credibility-based fuzzy mathematical programming model under uncertainty conditions is presented, which considers two vital needs in disaster time including medical services and relief commodities through location of hospitals, transfer points, and location routing of relief depots. The proposed model approaches reality by considering time, cost, failures probability in routes, and parameters uncertainty. The problem is first linearized and then global criterion method is applied for solving the multi objective model. Moreover, to illustrate model efficiency, a case study is performed on region 1 of Tehran city for earthquake disaster. Results demonstrate that if decision-makers want to meet uncertainty with lowered risk, they have to choose a high minimum constraint feasibility degree even though the objective function will be worse.
خلاصه ماشینی:
"com A credibility-based chance-constrained transfer point location model for the relief logistics design (Case Study: earthquake disaster on region 1 of Tehran city) Ahmad Mohamadi a, Saeed Yaghoubi a*, Hadis Derikvand b a School of Industrial Engineering, Iran University of science & Technology, Tehran, Iran b Islamic Azad University ,Arak branch, Arak, Iran Abstract Occurrence of natural disaster inflicts irreparable injuries and symptoms on humans.
In this paper, a multi-objective non-linear credibility-based fuzzy mathematical programming model under uncertainty conditions is presented, which considers two vital needs in disaster time including medical services and relief commodities through location of hospitals, transfer points, and location routing of relief depots.
Noticing tables 7&8, the amount of decrease of total objective function( Z * ) in case of increasing transfer points is more than increasing relief depots, so that relief depots are important in modeling because relief depots on the one hand are connected to hospitals and on the other hand are connected to affected areas.
The main aim of this paper was presenting a comprehensive and integrated model for disaster management problem including hospital and transfer point location and location routing of relief depots in disaster duration.
Region 1 of Tehran was chosen as case study owing to high population and high vulnerability versus earthquakes; the problem was considered with 6 hospitals, 4&6 relief depots, 1,2,3,6, and 9 transfer points, and minimum constraint feasibility degree 0."