Abstract
Intelligent systems have been increasingly studied and used in the fields of flexible design and manufacture. Some recent applications include know-ledge-based systems for process planning, scheduling, facilities layout and intelligent design environments (Kumara et al, 1986; Kusiak and Chen, 1988; Steffan, 1986). The evolution of intelligent systems can be thought of as having passed through several phases. While logic and knowledge representation were the themes during the 1970s, the early 1980s were when expert systems gained popularity and the late 1980s acknowledged the development of many knowledge-based application programs as well as software tools. For the knowledge-based methods to advance, we need a deeper investigation of the fundamentals behind successful knowledge-based applications. In order to demonstrate that knowledge-based methods are not ad hoc, we need to study the common underlying themes, generalize particular solutions into problem solving methodologies, study the properties of the underlying solving structures and investigate the impact of representation. Such an investigation provides us with a framework and a deeper generic understanding of the solution methodology. This framework and understanding can be used in the new generation of intelligent systems to:
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Evaluate the capabilities of certain classes of systems.
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Enhance and improve the capabilities of existing and new systems through incorporation of those elements of the framework which are lacking in these systems.
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Design new problem solving systems by applying the framework to particular problem domains and instantiating its key elements.
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References
Banerjee, P. (1990) An automated reasoning architecture for a representative set of human designer tasks in manufacturing systems layout organization by designing default knowledge combining linear objective optimization and non-linear qualitative analysis, PhD Dissertation ,Industrial Engineering, Purdue University.
Banerjee, P., Montreuil, B., Moodie, C.L. and Kashyap, R.L. (1990a) A qualitative reasoning-based interactive optimization methodology for layout design. HE Conference Proceedings ,230–5.
Chang, T.-C. and Wysk, R.A. (1985) An Introduction to Automated Process Planning Systems ,Prentice-Hall, Englewood Cliffs, NJ.
Choi, B.K., Barash, M.M. and Anderson, D.C. (1984) Automatic recognition of machined surfaces from a 3D solid modelor. Computer-Aided Design 16(2), 81–6.
Davies, B.J. and Darbyshire, I.L. (1984) The use of expert systems in process planning. Annals of the CIRP ,33(1), 303–6.
Denardo, E.V. (1986) Dynamic Programming Theory and Applications ,Prentice-Hall, Englewood Cliffs, NJ.
Descotte, Y. and Latombe, J.C. (1981) GARI: A Problem Solver that Plans how to Machine Mechanical Parts. IJCAI-7, pp. 766–72.
Fisher, E.L. (1986) An Al-based methodology for factory design. AI Magazine ,7(4), 72–85.
Flemming, U., Coyne, R., Glavin, T. and Rychener, M. (1988) A generative expert system for the design of building layouts-version 2, in Artificial Intelligence in Engineering: Design ,(ed. J.S. Gero), Elsevier, Amsterdam, pp. 445–64.
Forbus, K.D. (1990) Qualitative physics: past, present, and future, in Qualitative Reasoning about Physical Systems (eds D.S. Weld and J. de Kleer), Morgan Kaufmann, San Francisco.
Foulds, L.R., Gibbons, P.B. and Gifrin, J.W. (1985) Facilities layout adjacency determination: an experimental comparison of three graph theoretic heuristics. Operations Research ,33(5), 1091–106.
Golany, B. and Rosenblatt, M.J. (1989) A heuristic algorithm for the quadratic assignment formulation to the plant layout problem. International Journal of Production Research ,27(2), 293–308.
Gossard, D.C., Zuffante, R.P. and Hiroshi, S. (1988) Representing dimensions, tolerances, and features in MCAE systems. IEEE Computer Graphics and Applications ,pp. 51–9.
Hassan, M.M.D. and Hogg, G.L. (1989) On converting a dual graph into a block layout. International Journal of Production Research ,27(7), 1149–60.
Heragu, S. and Kusiak, A. (1988) Knowledge based system for machine layout (KBML). HE Conference Proceedings ,pp. 159–64.
Hummel, K.E. (1989) Coupling rule-based and object-oriented programming for the classification of Mach. Computers in Engineering ,1, 409–18.
Ikeuchi, K. and Takeo, K. (1988) Automatic generation of object recognition programs. Proceedings of the IEEE ,76(8), 1016–35.
Jakiela, M.J. (1989) Design and implementation of a prototype ‘intelligent’ CAD system. Journal of Mechanics, Transfer and Automation in Design ,3, 252–8.
Karinthi, R.R. and Nau, D.S. (1989) Geometric Reasoning as a Guide to Process Planning. Proceedings of the ASME International Computers in Engineering Conference, July 30-August 3, pp. 609–16.
Knoll, T.F. and Jain, R.C. (1986) Recognizing partially visible objects using feature indexed hypotheses. IEEE Journal of Robotics and Automation ,RA-2(1), 3–13.
Korf, R.E. (1987) Planning as search: a quantitative approach. Artificial Intelligence, 33, 65–88.
Kumara, S.R.T., Joshi, S., Kashyap, R.L. et al. (1986) Expert systems in industrial engineering. International Journal Production Research ,24(5), 1107–25.
Kumara, S.R.T., Kashyap, R.L. and Moodie, C.L. (1988) Application of expert systems and pattern recognition methodologies to facilities layout planning. International Journal of Production Research ,26(5), 905-30. Kusiak, A. and Chen, M. (1988) Expert systems for planning and scheduling manufacturing systems. European Journal Operations Research ,34, 113–30.
Liu, C.R. and Srinivasan, R. (1984) Generative process planning using syntactic pattern recognition. Computers in Mechanical Engineering ,63–6.
Luby, S.C., Dixon, J.R. and Simmons, M.K. (1986) Design with features: creating and using a feature data base for evaluation of manufacturability of castings. Computers in Mechanical Engineering ,5(3), 25–33.
Malakooti, B. and Tsurushima, A. (1989) An expert system using priorities for solving multiple-criteria facility layout problems. International Journal of Pro-duction Research ,27(5), 793–808.
Marefat, M. and Kashyap, R.L. (1990) Geometric reasoning for recognition of three dimensional object features. IEEE Transactions on Pattern Analysis and Ma-chine Intelligence TPAMI-12(10)
Marefat, ML, Feghhi, S.J. and Kashyap, R.L. (1990) IDP: Automating the CAD/CAM Link by Reasoning about Shape. The Sixth Conference on Artificial Intelligence Applications, Santa Barbara, California.
Marefat, M., Timke, M. and Kashyap, R.L. (1990) A Framework for Image Interpre-tation in manufacturing applications. Proceedings of IEEE International Con-ference on Systems, Man, and Cybernetics (SMC), Los Angeles, California.
Minsky, M. (1963) Steps toward artificial intelligence, in Computer and Thought ,(ed. Feigenbaum and Feldman), McGraw-Hill, New York, pp. 441–3.
Montreuil, B. and Ratliff, H.D. (1989) Utilizing cut trees as design skeletons for facility layout. HE Transactions ,21(2), 136–143.
Montreuil, B., Venkatadri, U. and Ratliff, H.D. (1989) Generating a layout from a design skeleton. Document 89-01 ,Department of Operations &Decision Systems, Laval University, Quebec, Canada (to appear in Management Science).
Mortenson, M.E. (1985) Geometric Modeling ,John Wiley &Sons, New York.
Newell, A. and Simon, H.A. (1972) Human Problem Solving ,Prentice-Hall, Engle-wood Cliffs, NJ.
Picone, C.J. and Wilhelm, W.E. (1984) A perturbation scheme to improve Hillier’s solution to the facilities layout problem. Management Science ,30(10), 1238–49.
Pinilla, J.M., Finger, S. and Prinz, F.B. (1989) Shape feature description and recognition using an augmented topology graph grammar. NSF Engineering Design Reserach Conference, June 11-14, Amherst.
Requicha, A.A.G. (1980) Representations for rigid solids: theory, methods, and systems. IEEE Computer Graphics and Applications ,12(4), 45–60.
Requicha, A.A.G. and Chan, S. (1986) Representation of geometric features, toleran-ces, and attributes in solid modelers based on constructive geometry. IEEE Journal of Robotics and Automation ,RA-2(3), 156–66.
Sacerdoti, E.D. (1974) Planning in a hierarchy of abstraction spaces. Artificial Intelligence ,5, 115–35.
Schank, R.C. (1982) Dynamic Memory: A Theory of Reminding and Learning in Computers and People ,Cambridge University Press, Cambridge.
Scriabin, M. and Vergin, R.C. (1985) A cluster-analytic approach to facility layout. Management Science ,31(1), 33–49.
Shafer, G.A. (1976) A Mathematical Theory of Evidence ,Princeton University Press, Princeton, NJ.
Shah, J.J. and Rogers, M.T. (1988) Expert form feature modelling shell. Computer-Aided Design ,20(9), 515–24.
Steffan, M.S. (1986) A survey of artificial intelligence-based scheduling systems. IIE Conference Proceedings ,395–405.
Stefik, M. (1981) Planning with constraints (MOLGEN: Part 1). Artificial Intelli-gence ,16, 111–40.
Tsatsoulis, C. and Kashyap, R.L. (1988a) A case-based system for process planning. International Journal of Robotics and Computer-Integrated Manufacturing ,4, 557–570.
Tsatsoulis, C. and Kashyap, R.L. (1988a) A system for knowledge-based process planning. Artificial Intelligence in Engineering ,3(2), 66–75.
Wang, H.-P. and Chang, H. (1987) Automated classification and coding based on extracted surface features in a CAD data base. International Journal of Advanced Manufacturing Technology ,2(1), 25–38.
Woo, T.C. (1982) Feature Extraction by Volume Decomposition. Proceedings of the Conference on CAD/CAM Technology in Mechanical Engineering, MIT, Mass-achusetts, pp. 76–94.
You, I.C., Chu, C.N. and Kashyap, R.L. (1989) Expert system for castability evaluation using a fixed-features based approach. Robotics and Computer-Integrated Manufacturing ,6(3)
Zeigler, B.P. (1990) Object-Oriented Simulation with Hierarchical Modular Models ,Academic Press, New York.
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Marefat, M., Banerjee, P. (1994). A common skeletal framework for knowledge-based solutions to a representative set of manufacturing problems. In: Mital, A., Anand, S. (eds) Handbook of Expert Systems Applications in Manufacturing Structures and rules. Intelligent Manufacturing Series. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0703-7_3
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DOI: https://doi.org/10.1007/978-94-011-0703-7_3
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