Abstract
Manufacturing industry has witnessed significant developments in recent years, as measured by the increase in the number of automated systems in use. The key to the success of these systems is effective exploitation of available resources such as machines, tools, fixtures and material handling systems. Proper use of these resources has increased productivity. At the same time, the design problems related to the modern manufacturing systems have become more complex. Designers and users of automated manufacturing systems have attempted to develop new tools to cope with these complexities. Knowledge-based systems represent a class of modern tools that have been applied to improve the design and management functions in automated manufacturing systems.
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References
Miller DM, Davis RP. The machine requirements problem. Int J Prod Res 1977; 15: 219–231
Hayes GM, Davis RP, Wysk RA. A dynamic programming approach to machine requirements planning. AIIE Trans 1981; 13: 175–181
Kusiak A. The production equipment requirements problem. Int J Prod Res 1987; 25: 319–325
Heragu SS, Kusiak A. Analysis of expert systems in manufacturing design. IEEE Trans Syst Man Cybernet 1987; SMC-17: 898–912
Kusiak A. Intelligent manufacturing systems. Prentice Hall, Englewood Cliffs, NJ, 1990
Matsushima K, Okada N, Sata T. The integration of CAD and CAM by application of artificial intelligence techniques. Ann CIRP 1982; 31: 329–332
Chang TC, Wysk RA. An introduction to automated process planning systems. Prentice Hall, Englewood Cliffs, NJ, 1985
Balas E, Ho A. Set covering algorithm using cutting planes, heuristics and subgradient optimization. Math Prog 1980; 12: 37–60
Heragu SS, Kusiak A. KBML: a knowledge-based system for machine layout. In: Proceedings 1988 international industrial engineering conference, Orlando, FL
Kanet JJ, Adelsberger HH. Expert systems in production scheduling. Eur J Operat Res 1987; 29: 51–59
Dolk DR, Konsynski BR. Knowledge representation for model management systems. IEEE Trans Software Eng 1984; SE-10: 619–628
Evans JR, Dennis DR, Shafer SM. An intelligent system for production planning modelling and optimization. In: Proceedings IXth international conference on production research, Cincinnati, OH, 1987, pp 1689–1693
Miller DM, Davis RP. A dynamic resource allocation model for a machine requirements problem. HE Trans 1978; 10: 237–243
Murty KG. Linear programming. Wiley, New York, 1983
Behnezhad AR, Khoshnevis B. The effects of manufacturing progress function on machine requirements and aggregate planning. Int J Prod Res 1988; 26: 309–326
Schrage LE. Linear, integer, and quadratic programming with LINDO. Scientific Press, Palo Alto, CA, 1984
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© 1991 Springer-Verlag London Limited
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Kusiak, A., Heragu, S.S. (1991). Knowledge-Based Programs for Manufacturing System Design. In: Pham, D.T. (eds) Artificial Intelligence in Design. Artificial Intelligence in Industry Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74354-2_18
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DOI: https://doi.org/10.1007/978-3-642-74354-2_18
Publisher Name: Springer, Berlin, Heidelberg
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