EXPERT SYSTEM FOR GROUP TECHNOLOGY
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Abstract
Modern manufacturing enterprises are increasingly faced with fierce international competition and fluctuating market conditions. To gain flexibility from a functional manufacturing system and efficiency from mass production, group technology has emerged as an effective compromise between the two. Identification and grouping of parts, that share similar processes into cells, is the basic problem in the design of cellular manufacturing systems. The design of cellular manufacturing systems is a complex, multi- criteria and multi -step process which can have significant implication for the entire organization. The formation of machine cell and part families have a number of constraints such as number of cells, cell size, technological requirements, and any other constraints like cost and time. This research proposes an expert system called CAEGT, which controls a number of constraints during the formation of machine cells and part families by using three methods. The system was tested in a manufacturing company and it gives an efficient results.
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References
Ajang, M.K., (1997), Formation of Machine Cells Using GT Methods, M.Sc. Thesis, U.O.B..
Arzi, Y., Bukchin, J., and Masin, M., (2001), An Efficiency Frontier Approach for The Design of Cellular Manufacturing System in a Lumpy Demand Environment, European Journal of Oper. Res., Vol. 134.
Basu, A., Hyer, N.,and Shtub, A. (1995), An Expert System Based Approach to Manufacturing Cell Design, Int. J. Prod. Res., Vol.33, No.10.
Chan, F.T.S., Mak, K.L., and Ming, X.G., (1998), Machine – Component Grouping Using Genetic Algorithms, Robotics and CIM, Vol.14,.
Govindarajan, V., (1995), GT Decision Aids for The Design of Cellular Manufacturing Systems An Expert System Approach, M.Sc. Thesis, Concordia Uni.
Forsyth, R., (1989), Expert System, Principle and Case Studies, Chapman and Hall, Ltd., 2 nd edition.
Heragu, S.S., (1989), Knowledge Based Approach to Machine Cell Layout, Computers Ind. Engng. , Vol.17, No.1-4..
Islam, K. S., and Sarker, B. R., (2000), A Similarity Coefficient Measure and Machine- Parts Grouping in Cellular Manufacturing Systems ", Int. J. Prod. Res., Vol.38, No.3..
Karwatzki, J. M., (1987), Expert Systems in Engineering, Computer- Aided Enging Journal, Vol.4. No.2.
Khator, S. K., and Irani, S. A., (1987), Cell Formation in GT: A New Approach, Computers Ind.
Enging, Vol.12, No.2, Kusiak, A., (1988), EXGT- S: A Knowledge Based System for GT, Int. J. Prod. Res., Vol.26, No.5
Luger, G. F., and Stubblefiel, W. A., (1998), Artificial Intelligence: Structures and Strategies for Complex Problem Solving, Addison Longman, Inc., 3ed edition,.
Mukattash, A. A., (1997), Automated Solution for Cell Formation, Ph.D Thesis, U.O.T,
Ramabhatta, V., and Nagi, R., (1998), An Integrated Formulation of Manufacturing Cell Formation With Capacity Planning and Multiple Routings”, Annals of Oper. Res., Vol.9, No.1..
Prerau, D. S., " Developing and Managing Expert Systems ", Addison - Wesley Publishing Com., Inc., 1990.
Suresh, N. C., and Kay, J. M., (1998), GT and Cellular Manufacturing, Kluwer Academic Publishers..
Turban, E., Mclean, E., and Wetherbe, J., (1998), Information Technology for Management, John
Wiley and Sons. Inc., (1996), Luger, G. F., and Stubblefiel, W. A., Artificial Intelligence
Structures and Strategies for Complex Problem Solving. Addison Longman, Inc., 3ed edition,.
Wei, J., and Kern, G. M., (1989), Commonality Analysis : A Linear Cell Clustering Algorithm for GT, Int. J. Prod. Res., Vol.27, No.12.