Abstract
This paper describes the knowledge representation of an expert system which helps solving the problem of evaluating software packages for production planning and control (PPC). It addresses this problem on the basis of the package’s functionalities and features as compared with the production management theory for the various types of production systems. A frame-based knowledge representation model is proposed whose objects and relations describe a typology of production systems and a generic PPC software package. A dual taxonomy of production systems is used based both on functional types and industrial sectors.
The above knowledge forms the knowledge base of an expert system that can help those who design Production Planning and Control (PPC) systems. This expert system gathers and processes the above knowledge and gives as inference results the functionalities and the module features of the software package that are required in the PPC system of a manufacturing firm.
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References
Burbidge, JL., A Production System Variable Connectante Model,Cranfield Institute of Technology, Cranfield, 1984.
Davis, G.B. and Olson, M.H., Management Information Systems, McGraw Hill,1985.
Doumeingts, G. et al, Knowledge-based System for the Design of Production Management Systems, in: J. Browne (Ed), Knowledge Based production Management Systems, Elsevier ( North-Holland ), IFIP, 1989.
Eloranta, E et al, ‘Model-based reasoning in manufacturing systems design’ in Browne, J (ed), Knowledge Based Production Management Systems, Fkevier/North - Holland, Amsterdam, Netherlands, 1989.
Foerster, H., Hoff, H. and Missen, E., Marktspiegel PPS-Systems auf dem Pruefstand, Verlag, Koeln, Germany, 1986.
Frost, R, A, Introduction to Knowledge Base Systems,William Collins and Sons, London, UK, 1986.
Gane, C. and Sarson, T., Structured Systems Analysis, Prentice-Hall, 1979.
Keller, R., Expert System Technology, Prentice-Hall, Englewood Cliffs, NJ, USA, 1987.
Kettner,H., J.Schmidt and HRGreim, Leitfaden der systematischen Fabrikplanung, Carl Hanser Verlag, Munchen, 1984.
Malpas, J., Prolog: A relational language and its applications, Prentice-Hal, Englewood Cliffs, NJ, USA, 1987.
Mensel, G. and J. Michel, Moeglichkeiten des Einsatzes wissenbasierter Systeme in der Fertigung, ZwF 80 11, pp. 495–500, 1985.
Schmenner, R.G., Production/Operations Management, SRA Chicago, 1981.
Schmitt, T.G., T. Klastorin and A. Shtub, Production classification system: concepts, models and strategies, pp.563–578, Int.J.Prod.Res., 1985.
Schneider, H.-J. and Karagiannis, D., ‘Intelligent Knowledge Bases of CAD Environments: The Hybrid System KANON’, NATO ASI Series, Vol.’ F49, pp 161–1%, Springer-Verlag, Berlin, 1988.
Schomburg, E., Entwicklung eines Betriebstypologischen Instrumentariums zur Systematischen Ermittlung der Anforderungen an EDV - Gestuetzte Productionsplanungs - und - Steuerungssysteme im Maschinenbau, Dissertation, TH Aachen, Germany, 1980.
Sepehri, M., ‘Newest manufacturing software packages offer modules which meet specialized needs’, Ind. Eng. Vol 28, pp 32–43, 1985.
Sheil, B., Thinking about artificial intelligence, Harvard Business Review, July-August 1987.
Speith, G. and U. Brief, BAPSY - ein Instrumentarium zur Beurteilung und Auswahl von Produktionsplanung - und steuerungs - Systemen, FIR mitteilungen, TH Aachen, Nr. 43 (Juni), 1982.
Tatsiopoulos, I., J (ed), Knowledge Based Production Management Systems, Elsevier/North - Holland, Amsterdam, Netherlands, 1989.
Tatsiopoulos, I.P., ‘Requirements analysis of production management software systems’, in Computer Integrated Manufacturing Systems, Vol 3, pp 207–215, Butterworth - Heineman Lid, 1990.
Tatsiopoulos, I.P. and Pappas IA., ‘Design of fault-tolerant production management systems for small and medium sized fes,in Eloranta, E (ed), Advances in production management systems, Elsevier/North - Holland, Amsterdam, Netherlands, 1990.
Weiskamp, K and Hengl, T., Artificial Intelligence Programming with Turbo Prolog, John Wiley and Sons, New York, USA, 1988.
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© 1991 Springer-Verlag Wien
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Tatsiopoulos, I.P., Mekras, N.D. (1991). Knowledge Representation Structures for the Evaluation of Production Planning and Control Systems. In: Karagiannis, D. (eds) Database and Expert Systems Applications. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7555-2_14
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DOI: https://doi.org/10.1007/978-3-7091-7555-2_14
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82301-9
Online ISBN: 978-3-7091-7555-2
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