Selecting distribution centre location using an improved fuzzy MCDM approach

International Journal of Advanced Manufacturing Technology

Volumn 26, Issue 3, 2005, Pages 293-299

  Chu, T C ^a   Lai, M T ^a  

^a SOUTHERN TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

cuts; Distribution centre; Fuzzy MCDM; Interval arithmetic

Indexed keywords

CAMERAS; COSTS; DEGREES OF FREEDOM (MECHANICS); ERRORS; PRINTED CIRCUIT BOARDS; ROBOTS; SELF ASSEMBLY;

Α-CUTS; DISTRIBUTION CENTER; FUZZY MCDM; INTERVAL ARITHMETIC;

FUZZY CONTROL;

EID: 23344442457     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00170-003-1896-3     Document Type: Article

References (23)

1. Chen CT (2001) A fuzzy approach to select the location of the distribution centre. Fuzzy Set Syst 118:65-73
2. Bowerson DJ, Closs DJ (1996) Logistical management - the integrated supply chain process. McGraw-Hill, Singapore
3. Aikens CH (1985) Facility location models for distribution planning. Eur J Oper Res 22:263-279
4. Dahlberg MD, May JH (1980) Linear programming for sitting of energy facilities. J Energ Eng 106:5-14
5. Hodder JE, Dincer MC (1986) A multifactor model for international plant location and financing under uncertainty. Comput Oper Res 13(5):601-609
6. Pavič I, Babič Z (1991) The use of the PROMETHEE method in the location choice of a production. Int J Prod Econ 23:165-174
7. Rietveld P, Ouwersloot H (1992) Ordinal data in multicriteria decision making, a stochastic dominance approach to sitting nuclear power plants. Eur J Oper Res 56:249-262
8. Spohrer GA, Kmak TR (1984) Qualitative analysis used in evaluating alternative plant location scenarios. Ind Eng 8:52-56
9. Stevenson WJ (1993) Production/operations management. Richard D. Irwin Inc, IL
10. Sule DR (1994) Manufacturing facility: Location, planning and design. PWS Publishing, Boston
11. Tompkins JA, White JA (1984) Facilities planning. Wiley, New York
12. Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning. Inform Sci 8:199-249 (I),
13. Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning. Inform Sci 8:301-357 (II)
14. Carlsson C, Fuller R (1996) Fuzzy multiple criteria decision making: recent developments. Fuzzy Set Syst 78:139-153
15. Chen SJ, Hwang CL (1992) Fuzzy multiple attribute decision making methods and applications. Springer, Berlin Heidelberg New York
16. Chu TC (2002) Selecting plant location via a fuzzy TOPSIS approach. Int J Adv Manuf Technol 20:859-864
17. Chu TC, Tsao CT (2002) Ranking fuzzy numbers with an area between the centroid point and original point. Comput Math App 43:111-117
18. Deng H (1999) Multi-criteria analysis with fuzzy pairwise comparison. Int J Approx Reasoning 21:215-231
19. Lee HM (1996) Group decision making using fuzzy sets theory for evaluating the rate of aggregative risk in software development. Fuzzy Set Syst 80:261-271
20. Yeh CH, Deng H, Pan H (1999) Multi-criteria analysis for Dredger dispatching under uncertainty. J Oper Res Soc 50:35-43
21. Dubois D, Prade H (1978) Operations on fuzzy numbers. Int J Sys Sci 9:613-626
22. Van Larrhoven PJM, Pedrycz W (1983) A fuzzy extension of Satty's priority theory. Fuzzy Set Syst 11:229-241
23. Kaufmann A, Gupta MM (1991) Introduction to fuzzy arithmetic: theory and application. Van Nostrand Reinhold, New York