Journal title
عنوان نشریه
International Journal of Supply and Operations Management
Literature & Humanities
http://system.khu.ac.ir/ijsom
1
admin
doi
en
jalali
1393
11
1
gregorian
2015
2
1
3
4
online
1
fulltext
fa
A Credibility-Based Chance-Constrained Transfer Point Location Model for the Relief Logistics Design (Case Study: Earthquake Disaster on Region 1 of Tehran City)
A Credibility-Based Chance-Constrained Transfer Point Location Model for the Relief Logistics Design (Case Study: Earthquake Disaster on Region 1 of Tehran City)
Research Paper
مقاله پژوهشی
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.
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.
Relief logistic , Uncertainty , Transfer points location , Relief depot routing ,
Relief logistic , Uncertainty , Transfer points location , Relief depot routing ,
466
488
http://system.khu.ac.ir/ijsom/browse.php?a_code=A-10-31-1&slc_lang=fa&sid=1
Saeed
Yaghoubi
Saeed
Yaghoubi
yaghoubi@iust.ac.ir
1003194753284600156
1003194753284600156
Yes
Iran University of science & Technology, Tehran, Iran
Iran University of science & Technology, Tehran, Iran
Ahmad
Mohamadi
Ahmad
Mohamadi
mohamadi_a@ind.iust.ac.ir
1003194753284600157
1003194753284600157
No
School of Industrial Engineering, Iran University of science & Technology, Tehran, Iran
School of Industrial Engineering, Iran University of science & Technology, Tehran, Iran
Hadis
Derikvand
Hadis
Derikvand
h_derikvand@yahoo.com
1003194753284600158
1003194753284600158
No
Department of Industrial Engineering, Islamic azad ,Arak branch, Arak, Iran
Department of Industrial Engineering, Islamic azad ,Arak branch, Arak, Iran