چکیده:
Natural disasters, accidents, and crises that cause widespread destruction and inflict heavy casualties accentuate the importance of careful planning to deal with the aftermath and mitigate the impacts responsively. Thus, the logistics of disaster relief is one of the main activities in disaster management. In this paper, the response phase of the disaster management cycle is considered and a multi-objective model for location and routing of vehicles is presented. Uncertainties of transfer time, demands of regional warehouses in the damaged areas and inventories at supply centers in different periods are taken into account. Three objectives are set in this model. Two objectives consist of minimizing the total time required to reach the damaged areas and maximizing satisfaction of the damaged areas. The third objective, which is of secondary importance, is to minimize total costs, including startup, transfer, and shortage costs. In order to convert the proposed multi-objective formulation to a single-objective one, Global Criterion approach is applied. Afterwards, the obtained single objective model is solved using an efficient genetic algorithm and simulated annealing. Finally, a case study in Southern Khorasan is conducted and the applicability of the proposed model is examined.
خلاصه ماشینی:
A Multi-period Multi-objective Location-routing Model for Relief Chain Management under Uncertainty Mohsen Saffariana,*, Farnaz Barzinpourb and Seyed Mahmood Kazemia a Faculty of Industrial Engineering, Birjand University of Technology, Birjand, Southern Khorasan, Iran b Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran Abstract Natural disasters, accidents, and crises that cause widespread destruction and inflict heavy casualties accentuate the importance of careful planning to deal with the aftermath and mitigate the impacts responsively.
In this paper, the response phase of the disaster management cycle is considered and a multi-objective model for location and routing of vehicles is presented.
Uncertainties of transfer time, demands of regional warehouses in the damaged areas and inventories at supply centers in different periods are taken into account.
(2011) provided a multi-period, multi-product and multi-vehicle model for logistic planning of major and prioritized commodities in the disaster response phase; the model had two objective functions that one of them was to minimize unsatisfied demand and the other was to minimize total travel time.
(2014) proposed a multi-objective model for distribution centers which are located and allocated periodically to the damaged areas in order to distribute the offered relief commodities.
(2015) proposed a bi-objective model for relief chain logistics in an uncertain environment while considering uncertainty in both traveling times and demands of the damaged areas.
In this study, a multi- period multi-objective formulation was developed to optimally locate temporary central depots and determine vehicle routes in disaster relief logistics considering several central depots and multiple commodities.