Application of an evolutionary fuzzy system for the estimation of workforce deployment and cross-training in an assembly environment

International Journal of Production Research

Volumn 40, Issue 18, 2002, Pages 4651-4674

  Tiwari, M K ^a   Roy, Debjit ^b  

^a NATIONAL INSTITUTE OF FOUNDRY AND FORGE TECHNOLOGY   (India)

^b INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

CUSTOMER SATISFACTION; DECISION MAKING; FUZZY SETS; LIFE CYCLE; PRODUCTION;

WORKFORCE DEPLOYMENT;

INDUSTRIAL MANAGEMENT;

EID: 0037115845     PISSN: 00207543     EISSN: None     Source Type: Journal    
DOI: 10.1080/00207540210158014     Document Type: Article

References (31)

1. ARZI, Y. and SHTUB, A., 1997, Learning and forgetting in mental and mechanical task: comparative study. IIE Transactions, 29, 759-768.
2. BAILEY, C. D., 1989, Forgetting and the learning curve: a laboratory study. Management Science, 35, 346-352.
3. BOBROWSKI, P. M. and PARK, P. S., 1993, An evaluation of labor assignment rules when workers are not perfectly interchangeable. Journal of Operations Management, 11, 257-268.
4. CARLSON, J. G. and ROWE, A. J., 1976, How much does forgetting cost. Industrial Engineering, 8, 40-47.
5. CARSE, B., FOGARTY, T. C. and MUNRO, A., 1996, Evolving fuzzy rule based controllers using genetic algorithms. Fuzzy Sets and Systems, 80, 273-293.
6. COHEN, M. A. and LEE, H. L., 1988, Strategic analysis of integrated production distribution system: models and method. Operations Research, 36, 216-228.
7. DAR-EL, E. M., AYAR, K. and GILAD, I., 1995, Predicting performance times for long cycle time tasks, IIE Transactions, 27, 272-281.
8. DAVIS, L., 1991, Handbook of Genetic Algorithm (New York: Van Nostrand Reinhold).
9. DEB, K., 1996, Optimization for Engineering Design: Algorithms and Examples (New Delhi: Prentice Hall).
10. DEJONG, J. R., 1957, The effects of increasing skill on cycle time and its consequences for time standards. Ergonomics, 1, 51-61.
11. DUTTON, J. M. and THOMAS, A., 1984, Treating progress functions as a managerial opportunity. Academy of Management Review, 9, 235-247.
12. ENGWALL, R. L., 1992, Learning curve. In W. Hodson (ed.), Maynardis Industrial Engineering Handbook, 4th edn (New York: McGraw-Hill), pp. 5.145-5.161.
13. GLOBERSON, S., LEVIN, N. and SHTUB, A., 1989, The impact of breaks on forgetting when performing a repetitive task. IIE Transactions, 21, 376-381.
14. GOEDBERG, D. E., 1989, Genetic Algorithm in Search: Optimization and Machine Learning (Reading, MA: Addision Wesley).
15. KLATZKY, R. L., 1980, Human Memory: Structures and Processes (San Francisco: W. H. Freeman).
16. LEE, M. A. and TAKAGI, H., July, Dynamic control of genetic algorithms using fuzzy logic techniques. Proceedings of the International Conference on Genetic Algorithms, Urbana-Champaign, IL, pp. 76-83.
17. MALHOTRA, M. K., FRY, T. D., KHER, H. V. and DONAHUE, J. M., 1993, The impact of learning and labor attrition on worker flexibility in dual resource constraint job shops. Decision Sciences, 24, 641-663.
18. MCCREERY, J. K. and KRAJEWSKI, L. J., 1999, Improving performance using workforce flexibility in an assembly environment with learning and forgetting effects. International Journal of Production Research, 37, 2031-2058.
19. ROSS, T. J., 1997, Fuzzy Logic with Engineering Applications (New York: McGraw-Hill).
20. SETHI, A. K. and SETHI, S. P., 1990, Flexibility in manufacturing: a survey. International Journal of Flexible Manufacturing Systems, 2, 289-328.
21. SHTUB, A., LEVIN, N. and GLOBERSON, S., 1993, Learning and forgetting industrial skills: an experimental model. International Journal of Human Factors in Manufacturing, 3, 293-305.
22. SURI, R., 1998, Quick Response Manufacturing: a Companywide Approach to Reducing Lead Times (Portland, OR: Productivity Press).
23. THRIFT, P., 1991, Fuzzy logic synthesis with genetic algorithms. Proceedings of the 4th International Conference on Genetic Algorithms (ICGA), San Diego, CA, pp. 509-513.
24. TRELEVEN, M. D., 1989, A review of the dual resource constrained system research, IIE Transactions, 21, 279-287.
25. TSOURVELOUDIS, N. C. and PHILLIS, Y. A., 1998, Manufacturing flexibility measurement: a fuzzy logic framework. IEEE Transactions on Robotics and Automation, 14(4), 513-524.
26. VISWANADHAM, N. and RAGHAVAN, N. R. S, 1997, Flexibility in manufacturing enterprises. Sadhana, 22, 135-163.
27. WANG, C. H., HONG, T. P. and TSENG, S. S., 1997, Knowledge integration by genetic algorithms. Proceedings of the 7th International Fuzzy Systems Association Worlds Congress, Vol. 2, pp. 404-408.
28. WANG, C. H., HONG, T. P. and TSENG, S. S., 1998, Integrating fuzzy knowledge by genetic algorithms. IEEE Transactions on Evolutionary Computation, 2, 138-149.
29. YUAN, Y. and ZHUANG, H., 1996, A genetic algorithm for generating fuzzy classification rules. Fuzzy Sets and Systems, 84, 1-19.
30. ZADEH, L. A., 1965, Fuzzy sets. Information and Control, 8, 338-353.
31. ZADEH, L. A., 1978, Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1, 3-28.