The impact of ignored attributes on a CMS design

International Journal of Production Research

Volumn 37, Issue 14, 1999, Pages 3231-3245

  Choobineh, F ^a   Nare, A ^b  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b Deloitte and Touche   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; GROUP TECHNOLOGY; PROCESS ENGINEERING; PRODUCTION ENGINEERING; SENSITIVITY ANALYSIS; SET THEORY; SYSTEMS ANALYSIS;

ROUGH SET THEORY;

CELLULAR MANUFACTURING;

EID: 0032657108     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/002075499190257     Document Type: Article

References (32)

1. Askin, R. G and Subramainan S, 1987, A cost based heuristic for group technology config uration. International Journal of Production Research, 25, 101-113.
2. Chang, T, 1990, Expert Process Planning for Manufacturing (Reading, MA: Addison- Wesley).
3. Choobineh, F., 1988, A framework for the design of cellular manufacturing systems. International Journal of Production Research, 26, 1161-1172.
4. Damodaran, V., Lashkari, R. S. and Singh, N., 1992, A production planning model for cellular manufacturing systems with re-fixturing considerations. International Journal of Production Research, 30, 1603-1615.
5. Gu, P, 1991, Process-based machine grouping for cellular manufacturing sytems. Computers in Industry, 17, 9-17.
6. Gunasingh, R. K and Lashkari, R. S., 1989, Machine grouping problems in cellular manu facturing systems-an integer programming approach. International Journal of Production Research, 27, 1465-1473.
7. Gupta, T and Seifoddini, H, 1990, Production data based similarity coefficient for machine-component grouping decisions in the design of a cellular manufacturing system. International Journal of Production Research, 28, 1247-1269.
8. Han, C. and Ham, I., 1986, Multiple cluster analysis for part family formations. International Journal of Production Research, 5, 223-230.
9. Harhalakis, G, Nagi, R. and Proth, J. M, 1990, An efficient heuristic in manufacturing cell formation for group technology applications. International Journal of Production Research, 28, 185-198.
10. Hyde, W. F., 1981, Improving Productivity by Classification, Coding and Data Base Standardization-The Key To Maximizing CAD/CAM and Group Technology (New York: Marcel Decker).
11. Kamrani, A. K and Parsaei, H. R., 1993, A group technology based methodology for machine cell formation in a computer integrated manufacturing environment, Computers and Industrial Engineering, 24, 431-447.
12. Kang, S. and Wemmerlov, U., 1992, A work load-oriented heuristic methodology for manu facturing cell formation allowing reallocation of operations. Working paper.
13. Klir, G. J. and Folger, T A., Fuzzy Sets, Uncertainty and Information (Englewood Cliffs, NJ: Prentice Hall).
14. Kusiak, A., 1987, The generalized group technology concept. International Journal of Production Research, 25, 561-569.
15. Kusiak, A., 1990, Intelligent Manufacturing Systems (Englewood Cliffs, NJ: Prentice Hall).
16. Liang, M and Taboun, S., 1992, Part selection and part assignment in flexible manufacturing systems with cellular layout. Computers and Industrial Engineering, 23, 63-67.
17. Logendran, R., 1990, A workload based model for minimizing total intercell and intracell moves in cellular manufacturing. International Journal of Production Research, 28, 913 925.
18. Logendran, R., 1991, Impact of sequence of operations and layout of cells in cellular manu facturing. International Journal of Production Research, 29, 375-390.
19. Logendran, R., 1992, Simultaneous machine-part grouping approach in manufacturing cells. Computers and Industrial Engineering, 23, 77-80.
20. Moon, Y. B. and Chi, S. C., 1992, Generalized part family formation using neural network techniques. Journal of Manufacturing Systems, 11, 149-159.
21. Nagi, R., Harhalakis, G. and Proth, J. M, 1990, Multiple routings and capacity consid erations in group technology applications. International Journal of Production Research, 28, 2243-2257.
22. Parsons, S., Kubat, Ml and Dohnal, Ml, 1992, A robust logic for rule-based reasoning under uncertainty. Robotics and Manufacturing, 4, 717-722.
23. Pawlak, Z., 1984, Rough classification. International Journal of Man-Machine Studies, 20, 469-483.
24. Rajamani, D., Singh, N. and Aneja, Y. P, 1990, Integrative design of cellular manufacturing systems in the presence of alternative process plans. International Journal of Production Research, 28, 1541-1554.
25. Selvam, R. P. and Balasubramanian, K N., 1989, Algorithmic grouping of operation sequences. Engineering Costs and Production Economics, 9, 73-81.
26. Shiko, G., 1992, A process plan oriented approach to part family formation problem in group technology applications. International Journal of Production Research, 30, 1739-1752.
27. Sundaram, R. M and Doshi, K.,1992, Formation of part families to design cells with alternative routing considerations. Computers and Industrial Engineering, 23, 59-62.
28. Suresh kumar, C. and Chandrasekharan, M P., 1990, Grouping efficacy: a quantitative criterion for goodness of block diagonal forms of binary matrices in group technology. International Journal of Production Research, 28, 233-243.
29. Taboun, S M, Sankaran, S. and Bhole, S., 1991, Comparison and evaluation of similarity measures in group technology. Computers and Industrial Engineering, 20, 343-353.
30. Vakharia, A. J. and Wemmerlov, U., 1990, Designing a cellular manufacturing system: a materials flow approach based on operation sequences. IIE Transactions, 22, 84-97.
31. Venugopal, V. and Narendran, T T, 1992, A genetic algorithm approach to the machine- component grouping problem with multiple objectives. Computers and Industrial Engineering, 22, 469-480.
32. Wei, J. C. and Gaither, N., 1990, A capacity constrained multi-objective cell formation method. Journal of Manufacturing Systems, 9, 222-232