Justification of manufacturing technologies using fuzzy benefit/cost ratio analysis

International Journal of Production Economics

Volumn 66, Issue 1, 2000, Pages 45-52

  Kahraman, Cengiz ^a   Tolga, Ethem ^b   Ulukan, Ziya ^b  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^b GALATASARAY UNIVERSITY   (Turkey)

Author keywords

B C ratio; Economic justification; Fuzzy set theory

Indexed keywords

EID: 0002067529     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-5273(99)00103-6     Document Type: Article

References (26)

1. J.R. Meredith, N.C. Suresh, Justification techniques for advanced manufacturing technologies, International Journal of Production Research 24 (5) (1986) 1043-1058.
2. J.P. Lavelle, H.R. Liggett, Economic methods for evaluating investments in advanced manufacturing technologies, in: H.R. Parsaei, W.G. Sullivan, T.R. Hanley (Eds.), Economic and Financial Justification of Advanced Manufacturing Technologies, Elsevier, Amsterdam, 1992, pp. 119-139.
3. R.G. Soni, H. Parsaei, D.H. Lues, Economic and financial justification methods for advanced automated manufacturing: an overview, in: H.R. Parsaei, A. Mital (Eds.), Economics of Advanced Manufacturing Systems, Chapman & Hall, London, 1992.
4. S. Kolli, M.R. Wilhelm, D.H. Liles, A classification scheme for traditional and non-traditional approaches to the economic justification of advanced automated manufacturing systems, in: H.R. Parsaei, W.G. Sullivan, T.R. Hanley (Eds.), Economic and Financial Justification of Advanced Manufacturing Technologies, Elsevier, Amsterdam, 1992, pp. 165-187.
5. R.J. Boaden, B. Dale, Justification of computer-integrated manufacturing: some insights into the practice, IEEE Transactions on Engineering Management 37 (4) (1990) 291-296.
6. M. Khouja, O.F. Offodile, The industrial robot selection problem: Literature review and directions for future research, HE Transactions 26 (4) (1994) 50-61.
7. M.D. Proctor, J.R. Canada, Past and present methods of manufacturing investment evaluation: A review of the empirical and theoretical literature, The Engineering Economist 38 (1) (1992) 45-58.
8. M.R. Wilhelm, H.R. Parsaei, A fuzzy linguistic approach to implementing a strategy for computer integrated manufacturing, Fuzzy Sets and Systems 42 (1991) 191-204.
9. C. Kahraman, E. Tolga, Z. Ulukan, Fuzzy flexibility analysis in automated manufacturing systems, Proceedings of INRIA/IEEE Conference on Emerging Technologies and Factory Automation, Vol. 3, October 10-13, Paris, 1995, pp. 299-307.
10. L.A. Zadeh, Fuzzy sets, Information and Control 8 (1965) 338-353.
11. J.U. Buckley, The fuzzy mathematics of finance, Fuzzy Sets and Systems 21 (1987) 257-273.
12. H.-J. Zimmermann, Fuzzy Set Theory and its Applications, Kluwer Publishing, Dordrecht, 1994.
13. T.L. Ward, Discounted fuzzy cash flow analysis, Proceedings of 1985 Fall Industrial Engineering Conference, Institute of Industrial Engineers (1985) 476-481.
14. C. Chui, C.S. Park, Fuzzy cash flow analysis using present worth criterion, The Engineering Economist 39 (2) (1994) 113-138.
15. M.-J. Wang, G.-S. Liang, Benefit/cost analysis using fuzzy concept, The Engineering Economist 40 (4) (1995) 359-376.
16. C. Kahraman, E. Tolga, The effects of fuzzy inflation rate on after-tax rate calculations, third Balkan Conference on Operational Research, Thessaloniki, Greece, 16-19 October 1995.
17. L.T. Blank, J.A. Tarquin, Engineering Economy, 3rd Edition, McGraw-Hill, Inc., New York, 1989.
18. W. Chang, Ranking of fuzzy utilities with triangular membership functions, Proceedings of the International Conference of Policy Anal, and Inf. Systems, 1981, pp. 263-272.
19. R. Jain, Decision-making in the presence of fuzzy variables, IEEE Transactions on Systems, Man, and Cybernetics 6 (1976) 693-703.
20. D. Dubois, H. Prade, Ranking fuzzy numbers in the setting of possibility theory, Information Sciences 30 (1983) 183-224.
21. R.R. Yager, On choosing between fuzzy subsets, Kybernetes 9 (1980) 151-154.
22. S.M. Baas, H. Kwakernaak, Rating and ranking multiple-aspect alternatives using fuzzy sets, Automatica 13 (1977) 47-58.
23. G. Bortolan, R., Degani, A review of some methods for ranking fuzzy subsets, Fuzzy Sets and Systems 15 (1985) 1-19.
24. S.H. Chen, Ranking fuzzy numbers with maximizing and minimizing set, Fuzzy Sets and Systems 17 (1985) 113-129.
25. K. Kim, K.S. Park, Ranking fuzzy numbers with index of optimism, Fuzzy sets and Systems 35 (1990) 143-150.
26. A. Kaufmann, M.M. Gupta, Fuzzy Mathematical Models in Engineering and Management Science, Elsevier, Amsterdam, 1988.