Single and multiple attribute fuzzy pareto models

Journal of Multiple-Valued Logic and Soft Computing

Volumn 19, Issue 5-6, 2012, Pages 565-590

  Çebi, Ferhan ^a   Kahraman, Cengiz ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

ABC analysis; AHP; Fuzzy approach; Multi attribute; Pareto analysis; Single attribute; TOPSIS

Indexed keywords

ABC ANALYSIS; AHP; FUZZY APPROACH; MULTI-ATTRIBUTES; PARETO ANALYSIS; SINGLE ATTRIBUTE; TOPSIS;

HIERARCHICAL SYSTEMS; PARETO PRINCIPLE;

NUMERICAL ANALYSIS;

EID: 84866708438     PISSN: 15423980     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (55)

1. Alford, B.D. (2004), Two applications involving the analytic hierarchy process. MS Thesis. University of Maryland. College Park.
2. Berniker, E., McNabb, D. E. (2005), Applying matrixed Pareto analysis with activity based costing for operations and cost management, Journal of Business and Management, 11(1), 73-88.
3. Bhattacharya, A., Sarkar B., Mukherjee, S. K. (2007), Distance-based consensus method for ABC analysis. International Journal of Production research, 45(15), 3405-3420.
4. Braglia, M., Carmignani, G., Zammori, F. (2006), A new value stream mapping approach for complex production systems, International Journal of Production Research, 44 (18-19), 3929-3952.
5. Bollen, M. H. J., Zhang, L. D. (2003), Different methods for classification of three-phase unbalanced voltage dips due to faults, Electric Power Systems Research, 66(1), 59-69.
6. Byun, H.S., Lee. K.H. (2005), A decision support system for the selection of a rapid prototyping process using the modified TOPSIS method, The International Journal of Advanced Manufacturing Technology, 26(11-12), 1338-1347.
7. Chang, D.-Y. (1992), Extent Analysis and Synthetic Decision, Optimization Techniques and Applications, Vol. 1, World Scientific, Singapore, 352.
8. Chang, D.-Y. (1996), Applications of the extent analysis method on fuzzy AHP, European Journal of Operational Research, 95, 649-655.
9. Chase, R.B., Jacobs F.R., Aquilano, N. J. (2004), Operations Management: For Competitive Advantage, 10th Edition, McGraw -Hill Irwin, New York.
10. Chen, Y., Li, K. W., Levy. J., Hipel. K.W., Kilgour, M. ( 2006), Rough-set multiple criteria ABC analysis, In "Rough sets and current trends in computing" (Eds. S. Greco et al.), 328-337.
11. Chen, J.C.H., Chong. P.P., Chen, Y.S. (2001), Decision criteria consolidation: A theoretical foundation of Pareto principle to Porter's competitive forces, Journal of Organizational Computing and Electronic Commerce, 11(1), 1-14.
12. Chen, E. T., Chong, P.P., Chen, J. C.H. ( 1998), Time management in GDSS:A satisficing model, Management Research News, 21(7/8), 37-46.
13. Chen, Y.-S., Chong. P.P., Tong, M.Y. (1994), Mathematical and computer modelling of the Pareto principle, Mathematical Computing Modelling, 19(9), 61-80.
14. Chen, S.-J., Hwang, C.-L. (1992), Fuzzy Multiple Attribute Decision Making: Methods and Applications, Springer, New York.
15. Chen, Y., Li, K. W., Kilgour, D. M., Hipel, K. W. (2008), A case-based distance model for multiple criteria ABC analysis, Computers & Operations Research, 35(3), 776-796.
16. Chong, P.P., Chen, Y.S., Chen, J.C.H. (2001), IT induction in the food service industry, Industrial Management & Data System, 101(1), 13-20.
17. Cohen, M. A., Ernst, R. (1988), Multi-item classification and generic inventory stock control policies, Production and Inventory Management Journal, 29(3), 6-8.
18. Craft, R. C., Leake, C. (2002), The Pareto principle in organizational decision making, Management Decision, 40(7/8), 729-733.
19. Expert Choice for Windows User Manual (1995), Decision Support Software, Inc., Virginia.
20. Flaum, S. A. (2007), Pareto's principle, Pharmaceutical Executive, 27(2), 54.
21. Flores, B. E., Whybark, D. C. (1986), Multiple criteria ABC analysis, International Journal of Operations and Production Management, 6(3), 38-46.
22. Flores, B. E., Whybark, D. C. (1987), Implementing multiple criteria ABC analysis, Journal of Operational Research, 7(1-2), 79-85.
23. Flores, B.E., Olson. D. L., Dorai, V. K. (1992), Management of multicriteria inventory classification, Mathematical and Computer Modelling, 16(12), 71-82.
24. Gamberini, R., Grassi, A., Rimini, B. (2006), A new multi-objective heuristic algorithm for solving the stochastic assembly line re-balancing problem, International Journal of Production Economics, 102 (2), 226-243.
25. Güvenir, H. A., Erel. E. (1998), Multicriteria inventory classification using a genetic algorithm, European Journal of Operational Research, 105, 29-37.
26. Grosfeld-Nir, A., Ronen, B., Kozlovsky, N. (2007), The Pareto managerial principle: When does it apply? International Journal of Production Research, 10(15), 2317-2325.
27. Hales, D. N., Siha, S. M., Sridharan, V., McKnew, J. I. (2006), Prioritizing tactical quality improvement: An action research study, International Journal of Operations & Production Management, 26(8), 866-881.
28. Huiskonen, J. (2001), Maintenance spare parts logistics: Special characteristics and strategic choices, International Journal of Production Economics, 71, 125-133.
29. Hwang. C.-L., Yoon, K.P. (1981), Multiple Attribute Decision Making Methods and Applications, Springer-Verlag, New York.
30. Kahraman, C., Çevik. S., Ates, N.Y., Gülbay. M. (2007), Fuzzy multi-criteria evaluation of industrial robotic systems, Computers & Industrial Engineering, 52 (4), 414-433.
31. Kahraman, C., Ertay, T., Büyüközkan, G. (2006), A fuzzy optimization model for QFD planning process using analytic network approach, European Journal of Operational Research, 171, 390-411.
32. Krajewski, J., Ritzman, B. (1998), Operations Management-Strategy and Analysis, 5. Edition, Addison-Wesley Publishing Company.
33. Ng, W. L. (2007), A simple classifier for multiple criteria ABC analysis, European Journal of Operational Research, 177 (11), 344-353.
34. Partovi, F.Y., Burton, J. (1993), Using the analytic hierarchy process for ABC analysis, International Journal of Operations & Production, 13(9), 29-44.
35. Partovi, F.Y., Hopton, W.E. (1994), The analytic hierarchy process as applied to two types of inventory problems, Production and Inventory Management Journal, 35(1), 13-19.
36. Partovi, F.Y., Anandarajan, M. (2002), Classifying inventory using an artificial neural network approach, Computers & Industrial Engineering, 41, 389-404.
37. Puente, J., De Lafuente, D., Priore, P. Pino, R. (2002), "ABC" classification with uncertain data: A fuzzy model vs.a probabilistic model, Applied Artificial Intelligence, 16, 443-456.
38. Porter, M.E. (1980), Competitive Strategy: Techniques for Analyzing Industries and Competitors, The Free Pres, New York.
39. Radson, D., Boyd, A. H. (1997), The Pareto Principle and rate analysis, Quality Engineering, 10(2), 223-229.
40. Ramanathan, R. (2006), ABC inventory classification with multiple criteria using weighted linear optimization, Computers & Operations Research, 33, 695-700.
41. Saaty, T.L. (1980), The Analytic Hierarchy Process, McGraw- Hill, New York.
42. Saaty, T.L. (1990a), How to make a decision: The analytic hierarchy process, European Journal of Operational Research, 48, 9-26.
43. Saaty, T. L. (1990b), An Explanation of the AHP in reply to the paper. "remarks on the Analytic Hierarchy Process," Management Science, 36 ( 3), 259-268.
44. Saaty, T.L., France, J.W., Valentine K. R. (1991), Modeling the graduate business school admissions Process, Socio-Economic Planning Science, 25(2), 155-162.
45. Sanders, R. (1988), The Pareto principle: Its use and abuse, The Journal Of Business & Industrial Marketing, 3(2), 37-40.
46. Shyur, H-J., Shih, H-S. (2006), A hybrid MCDM model for strategic vendor selection, Mathematical and Computer Modelling, 44 , 749-761.
47. Svensson, G , Wood, G. (2006), The Pareto plus syndrome in top marketing journals: Research and journal criteria, European Business Review, 18(6), 457-467.
48. Varzakas, T. H., Arvanitoyannis, I. S. (2007), Application of failure mode and effect analysis (FMEA).cause and effect analysis. and Pareto diagram in conjunction with HACCP to a corn curl manufacturing plant, Critical Reviews in Food Science and Nutrition, 47. 363-387.
49. Vollmann, T.E., Berry, W.L., Whybark, D.C., Jacobs, F. R. (2004), Manufacturing planning and control systems for supply chain management, Fifth Edition, McGraw-Hill Irwin.
50. Williams, S. (2007), Lean sigma Part VII-The Pareto principle, CircuiTree, 20(11), 50.
51. Yoon, K.P., Hwang, C.-L. (1995), Multiple Attribute Decision Making: An Introduction, Sage University Paper Series on Quantative Applications in the Social Sciences, Thousand Oaks. CA.
52. Zadeh, L.A. (2008), Is there a need for fuzzy logic? Information Sciences, 178 (13). 2751-2779.
53. Zadeh, L.A. (2005), Toward a generalized theory of uncertainty (GTU)-an outline, Information Sciences, 172 ( 1-2), 1-40.
54. Zhou, P., Fan. L. (2007), A note on multi-criteria ABC inventory classification using weighted linear optimization, European Journal of Operational Research, 182, 1488-1491.
55. Zumstein, D. (2007), Customer performance measurement: Analysis of the benefit of a fuzzy classification approach in customer relationship management, Master Thesis, University of Fribourg Switzerland, Department of Informatics.