Location optimization of multiple distribution centers under fuzzy environment

Journal of Zhejiang University: Science A

Volumn 13, Issue 10, 2012, Pages 782-798

  Wang, Yong ^a   Ma, Xiao Lei ^b   Wang, Yin Hai ^b   Mao, Hai Jun ^a   Zhang, Yong ^a  

^a SOUTHEAST UNIVERSITY   (China)

^b University of Washington   (United States)

Author keywords

Axiomatic fuzzy set (AFS); Clustering algorithm; Location selection; Multiple distribution centers; Technique for order preference by similarity to ideal solution (TOPSIS)

Indexed keywords

AXIOMATIC FUZZY SET (AFS); CLUSTERING APPROACH; DECISION MAKERS; DECISION PROCEDURE; DISTRIBUTION CENTERS; FIRE STATION; FUZZY ENVIRONMENTS; FUZZY INTEGRATIONS; HIERARCHICAL EVALUATION; LOCATION OPTIMIZATION; LOCATION PLANNING; LOCATION SELECTION; LOGISTICS DEMAND; LOGISTICS SYSTEM; MULTIPLE DISTRIBUTION; TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTIONS;

CLUSTERING ALGORITHMS; FUZZY SETS; LOGISTICS; OPTIMIZATION;

WAREHOUSES;

EID: 84869011744     PISSN: 1673565X     EISSN: 18621775     Source Type: Journal    
DOI: 10.1631/jzus.A1200137     Document Type: Article

References (33)

1. Awasthi, A., Chauhan, S.S., Goyal, S.K., 2011. A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty. Mathematical and Computer Modeling, 53(1):98-109. [doi:10.1016/j.mcm. 2010.07.023]
2. Buckley, J.J., 1985. Ranking alternatives using fuzzy numbers. Fuzzy Sets and Systems, 15(1):21-31. [doi:10.1016/ 0165-0114(85)90013-2] (Pubitemid 15524358)
3. Chen, C.T., 2001. A fuzzy approach to select the location of distribution center. Fuzzy Sets and Systems, 118(1):65-73. [doi:10.1016/S0165-0114(98)00459- X]
4. Chou, C.C., 2009. Integrated short-term and long-term MCDM model for solving location selection problem. Journal ofTransportation Engineering, 135(11):880-893. [doi:10. 1061/(ASCE)TE.1943-5436.0000057]
5. Chou, S.Y., Chang, Y.H., Shen, C.Y., 2008. A fuzzy simple additive weighting system under group decision making for facility location selection with objective/subjective attributes. European Journal of Operational Research, 189(1):132-145. [doi:10.1016/j.ejor.2007.05.006]
6. Chu, T.C., 2002. Facility location selection using fuzzy TOPSIS under group decisions. Fuzziness and Knowledge-Based Systems, 10(6):687-701. [doi:10.1142/S0218488 502001739]
7. Hakimi, S.L., Kuo, C.C., 1991. On a general network locationproduction- allocation problem. European Journal of Operational Research, 55(1):31-45. [doi:10.1016/0377-2217(91)90189-3]
8. Hansen, P., Filho, E., Ribeiro, C.C., 1992. Location and sizing of offshore platforms for oil exploration. European Journal of Operational Research, 58(2):202-214. [doi:10.1016/0377-2217(92)90207-P] (Pubitemid 23580450)
9. Heilpern, S., 1997. Representation and application of fuzzy numbers. Fuzzy Sets Systems, 91(2):259-268. [doi:10. 1016/S0165-0114(97)00146-2] (Pubitemid 127683719)
10. José, L.P.T., Eugenio, P., Víctor, Y., 2012. Complete fuzzy scheduling and fuzzy earned value management in construction projects. Journal of Zhejiang University-SCIENCE A (Applied Physics and Engineering), 13(1): 56-68. [doi:10.1631/jzus.A1100160]
11. Küçükaydin, H., Aras, N., Altinel, I.K., 2011. Competitive facility location problem with attractiveness adjustment of the follower: A bi-level programming model and its solution. European Journal of Operational Research, 208(3):206-220. [doi:10.1016/j.ejor.2010.08.009]
12. Kahraman, C., Ruan, D., Dogan, I., 2003. Fuzzy group decision-making for facility location selection. Information Sciences, 157:135-153. [doi:10.1016/S0020-0255(03) 00183-X]
13. Lee, C., 1993. The multiproduct warehouse location problem: applying a decomposition algorithm. International Journal of Physical Distribution & Logistics Management, 23(6):3-13. [doi:10.1108/09600039310044858]
14. Lee, D., Donnell, D., 2007. Analysis of nighttime drive behavior and pavement marking effects using fuzzy inference system. Journal of Computing in Civil Engineering, 21(3):200-210. [doi:10.1061/(ASCE)0887-3801(2007)21: 3(200)] (Pubitemid 46610048)
15. Li, R.J., 1999. Fuzzy method in group decision making. Computers & Mathematics with Applications, 38(1): 91-101. [doi:10.1016/S0898-1221(99)00172- 8]
16. Li, Y., Liu, X.D., Chen, Y., 2011. Selection of logistics center location using axiomatic fuzzy set and TOPSIS methodology in logistics management. Expert Systems with Applications, 38(6):7901-7908. [doi:10.1016/j.eswa.2010. 12.161]
17. Liang, G.S., Wang, M.J.J., 1991. A fuzzy multi-criteria decision-making method for facility site selection. International Journal of Production Research, 29(11): 2313-2330. [doi:10.1080/00207549108948085]
18. Lin, C.H., Ke, J.C., 2009. Optimal operating policy for a controllable queueing model with a fuzzy environment. Journal of Zhejiang University SCIENCE A, 10(2): 311-318. [doi:10.1631/jzus.A0820139]
19. Liu, X.D., 1998a. The fuzzy theory based on AFS algebras and AFS structure. Journal of Mathematical Analysis and Applications, 217(2):459-478. [doi:10.1006/jmaa.1997. 5718]
20. Liu, X.D., 1998b. The fuzzy sets and systems based on AFS structure, EIalgebra and EII algebra. Fuzzy Sets and Systems, 95(2):179-188. [doi:10.1016/S0165-0114(96)00 298-9]
21. Liu, X.D., Wang, W., Chai, T.Y., 2005. The fuzzy clustering analysis based on AFS theory. IEEE Transactions on Systems, Man and Cybernetics Part B, 35(5):1013-1027. [doi:10.1109/TSMCB.2005.847747] (Pubitemid 41444584)
22. Negi, D.S., 1984. Fuzzy Analysis and Optimization. PhD Thesis, Department of Industrial Engineering, Kansas State University, Kansas, USA.
23. Shannon, C.E., 2001. A mathematical theory of communication. Mobile Computing and Communications Review, 5(1):3-55. [doi:10.1145/584091.584093]
24. Sun, H.J., Gao, Z.Y., Wu, J.J., 2008. A bi-level programming model and solution algorithm for the location of logistics distribution centers. Applied Mathematical Modelling, 32(4):610-616. [doi:10.1016/j.apm.2007.02.007]
25. Syam, S.S., 2002. A model and methodologies for the location problem with logistical components. Computers and Operations Research, 29(9):1173-1193. [doi:10.1016/ S0305-0548(01)00023-5] (Pubitemid 34294743)
26. Tyagi, R., Das, C., 1995. Manufacturer and warehouse selection for stable relationship in dynamic wholesaling and location problem. International Journal of Physical Distribution & Logistics Management, 25(6):54-72. [doi:10. 1108/09600039510093276]
27. Wang, Z.J., Qian, E.Y., 2007. A vague-set-based fuzzy multi-objective decision making model for bidding purchase. Journal of Zhejiang University SCIENCE A, 8(4): 644-650. [doi:10.1631/jzus.2007.A0644] (Pubitemid 46574367)
28. Wey, W.M., Chang, Y.H., 2009. A comparative location study for the joint development station of a mass rapid transit system: A case in Taichung City. Environment and Planning B: Planning and Design, 36(4):573-587. [doi:10. 1068/b33135]
29. Yang, L.X., Ji, X.Y., Gao, Z.Y., Li, K.P., 2007. Logistics distribution centers location problem and algorithm under fuzzy environment. Journal of Computing and Applied Mathematics, 208(2):303-315. [doi:10.1016/j.cam.2006. 09.015]
30. Yu, J., Liu, Y., Chang, G.L., Ma, W.J., Yang, X.G., 2011. Locating urban transit hubs: multi-criteria model and case study in China. Journal of Transportation Engineering, 137(12):944-952. [doi:10.1061/(ASCE)TE.1943-5436. 0000275]
31. Zadeh, L.A., 1965. Fuzzy sets. Information and Control, 8(3):338-353. [doi:10.1016/S0019-9958(65)90241-X]
32. Zhang, Y.J., Liang, D.Q., Tong, S.C., 2004a. On AFS algebrapart I. Information Sciences, 167(1):263-286. [doi:10. 1016/j.ins.2004.02.017]
33. Zhang, Y.J., Liang, D.Q., Tong, S.C., 2004b. On AFS algebrapart II. Information Sciences, 167(1):287-303. [doi:10. 1016/j.ins.2003.10.007]