DocumentCode
3520177
Title
Optimal Supply Location Selection and Routing for Emergency Material Delivery
Author
Han, Yunjun ; Guan, Xiaohong ; Shi, Leyuan
Author_Institution
Tsinghua Univ., Beijing
fYear
2007
fDate
22-25 Sept. 2007
Firstpage
1039
Lastpage
1044
Abstract
Supplying emergent materials for a disaster area in time plays a vital role in emergency response. Supply location selection and routing problem including warehouse selection and fleets scheduling and routing to guarantee to meet the demand in the required time window considered in this paper is a new and difficult problem and is proved to be NP-hard. The salient feature of this problem lies in the incorporation of the location selection into the problem. Moreover, every supply source can send a commodity to any customer such that the supply system makes full use of the commodities among different warehouses. The jam caused by heavy traffic is also considered in our problem. Clearly this problem is closer to the requirements in a practical emergency response system and is solved with ILOG CPLEX for a small and medium scale problem. The numerical testing results show that our problem formulation is valid and is difficult to solve. It is also shown that the total transportation cost increases as the demand deadlines become tighter and the number of commodities is larger. The computational times generally become intolerable for problems with more than 60 nodes.
Keywords
computational complexity; optimisation; transportation; ILOG CPLEX; NP-hard problem; disaster area; emergency material delivery routing; fleets scheduling; optimal supply location selection; practical emergency response system; routing problem; warehouse selection; Automation; Costs; Disaster management; Heuristic algorithms; Job shop scheduling; Routing; Testing; Transportation; USA Councils; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Science and Engineering, 2007. CASE 2007. IEEE International Conference on
Conference_Location
Scottsdale, AZ
Print_ISBN
978-1-4244-1154-2
Electronic_ISBN
978-1-4244-1154-2
Type
conf
DOI
10.1109/COASE.2007.4341789
Filename
4341789
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