Site selection of emergency material warehouse under fuzzy environment

Cheng Liu , Ze-hui Chen , Yu-yan Gong

Journal of Central South University ›› 2013, Vol. 20 ›› Issue (6) : 1610 -1615.

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Journal of Central South University ›› 2013, Vol. 20 ›› Issue (6) : 1610 -1615. DOI: 10.1007/s11771-013-1653-1
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Site selection of emergency material warehouse under fuzzy environment

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Abstract

The objective of this work was to determine the location of emergency material warehouses. For the site selection problem of emergency material warehouses, the triangular fuzzy numbers are respectively demand of the demand node, the distance between the warehouse and demand node and the cost of the warehouse, a bi-objective programming model was established with minimum total cost of the system and minimum distance between the selected emergency material warehouses and the demand node. Using the theories of fuzzy numbers, the fuzzy programming model was transformed into a determinate bi-objective mixed integer programming model and a heuristic algorithm for this model was designed. Then, the algorithm was proven to be feasible and effective through a numerical example. Analysis results show that the location of emergency material warehouse depends heavily on the values of degree α and weight w1. Accurate information of a certain emergency activity should be collected before making the decision.

Keywords

bi-objective / mixed-integer programming / emergency material warehouse / triangular fuzzy number / site selection

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Cheng Liu, Ze-hui Chen, Yu-yan Gong. Site selection of emergency material warehouse under fuzzy environment. Journal of Central South University, 2013, 20(6): 1610-1615 DOI:10.1007/s11771-013-1653-1

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References

[1]

HakimiS L. Optimum location of switching centers and the absolute centers and medians of a graph [J]. Operations Research, 1964, 12(3): 450-459

[2]

VidalC, GoetschalckxM. Strategic production distribution models: A critical review with emphasis on global supply chain models [J]. European Journal of Operational Research, 1997, 98(1): 1-18

[3]

LinY H, BattaR, RogersonP A, BlattA, FlaniganM. Location of temporary depots to facilitate relief operations after an earthquake [J]. Socio-Economic Planning Sciences, 2012, 46(2): 112-123

[4]

BeraldiP, BruniM E. A probabilistic model applied to emergency service vehicle location [J]. European Journal of Operational Research, 2009, 196(1): 323-331

[5]

LiuH, ZhangX-hua. Study on location selection of multi-objective emergency logistics center based on AHP [J]. Procedia Engineering, 2011, 29(15): 2128-2132

[6]

LiuC-l, ShenH-cai. Two-objective optimization model for discrete emergent supply system [J]. Chinese Journal of Management Science, 2003, 11(4): 122-124

[7]

FangL, HeJ-min. Optimal location model of emergency systems by a given deadline [J]. Journal of Industrial Engineering and Engineering Management, 2004, 18(1): 48-51

[8]

HuangR B, KimS, MenezesM. Facility location for large-scale emergencies [J]. Annals of Operations Research, 2010, 181(1): 271-286

[9]

ZhangJ-h, TianC-f, ZhangN-n, FangWei. Location decision model on distribution center of emergency logistics for emergency event based on multilayer fuzzy optimization [C]. International Conference on Energy and Environment Technology, 2009GuilinIEEE Press385-388

[10]

TrevorH, ChristopherR. Improving supply chain disaster preparedness: A decision process for secure site location [J]. International Journal of Physical Distribution & Logistics Management, 2005, 35(3): 195-207

[11]

ZhangM, YangJun. Optimization modeling and algorithm of facility location problem in perishable commodities emergency system [J]. Natural Computation, 2007, 1(3): 246-250

[12]

YasanurK. A conceptual model for intermodal freight logistics centre location decisions [J]. Procedia-Social and Behavioral Sciences, 2010, 2(3): 6297-6311

[13]

WangB-d, HeS-wei. Robust optimization model and algorithm for logistics center location and allocation under uncertain environment [J]. Journal of Transportation Systems Engineering and Information Technology, 2009, 9(2): 69-74

[14]

GuoZ-x, QiM-ran. Minimum cost model of emergency material storage location based on interval number [J]. Operations Research and Management Science, 2010, 19(1): 15-20

[15]

MetrH, ZabinskyZ B. Stochastic optimization of medical supply location and distribution in disaster management [J]. International Journal of Production Economics, 2010, 126(1): 76-84

[16]

PishvaeeM S, TorabiS A. A possibilistic programming approach for closed-loop supply chain network design under uncertainty [J]. Fuzzy sets and systems, 2010, 161(20): 2668-2683

[17]

JimenezM. Ranking fuzzy numbers through the comparison of its expected intervals [J]. Fuzziness and Knowledge Based Systems, 1996, 4(4): 379-388

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