Abstract
With recycling regulations, resource conservation needs and an increased awareness of the state of the environment by both the consumer and the producer, many companies are establishing disassembly plants and developing product designs that specifically facilitate disassembly. Once disassembled, the items can be reused, recycled or discarded. One can identify two distinct aspects of the disassembly problem: design for disassembly (DFD) and planning for disassembly (PFD). The goal of DFD is to design products that are easy to disassemble. On the other hand, the objective of PFD is to identify efficient sequences to disassemble products. This paper focuses on the PFD aspect of disassembly. Because there could be many ways to disassemble a given product, PFD knowledge is accumulated by experience. Such knowledge is valuable, and should be captured, saved and reused to solve similar problems that arise in the future. In this paper, we propose case-based reasoning (CBR) as an approach to solve PFD problems. CBR is based on the fundamental principle that problem solving can benefit from solutions to past problems that have been attempted. The technique and issues related to the application of CBR to PFD are presented.
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Arai, E., Uchiyama, N. and Igoshi, M. (1995) Disassembly path generation to verify the assemblability of mechanical products. JSME International Journal, Series C, 38(4), 805–810.
Ashai, Z. and Gadh, R. (1994) Computer aided design for disassembly: a non-destructive approach, University of Wisconsin, Madison, Mechanical Engineering Department.
Brennan, L., Gupta, S. M. and Taleb, K. N. (1994) Operations planning issues in an assembly/disassembly environment. International Journal of Operations and Production Management, 14(9), 57–67.
Corcoran, E. (1992) Green machine, Volkswagen gears up to recycle autos. Scientific American, 266 (January), 140–141.
Fikes, R. E., Hart, P. E. and Nillson, N. J. (1972) Learning and executing generalized robot plans. Artificial Intelligence, 3, 251–288.
Fikes, R. E. and Nillson, N. J. (1971) STRIPS: a new approach to the application of theorem proving to problem solving. Artificial Intelligence, 2, 189–208.
Grogan, P. (1994) Auto wreckers. Biocycle, 35 (January) 86.
Gupta, S. M. and McLean, C. R. (1996) Disassembly of products. Computers and Industrial Engineering 31, 225–228.
Gupta, S. M. and Taleb, K. N. (1994) Scheduling disassembly. International Journal of Production Research, 32(8), 1857–1866.
Hall, R. P. (1989) Computational approaches to analogical reasoning: a comparative analysis. Artificial Intelligence, 39, 39–120.
Hammond, K. J. (1989) Case Based Planning, Academic Press Inc., San Diego, CA.
Hentschel, C. (1993) The greening of products and production: a new challenge for engineers, in Advances in Production Management Systems, (B-13), Pappas, I.A. and Tatsiopoulos, I.P. (eds), Elsevier Science Publishers B.V. (North-Holland), pp. 39–46.
Ishii, K. (1993), Life cycle clumping of product designs for ownership and retirement. Design Theory and Methodology, ASME Design Engineering Division, 53, 83–90.
Jovane, F., Alting, L., Armillotta, A., Eversheim, W., Feldmann, K., Seliger, G. and Roth, N. (1993) A key issue in product life cycle: disassembly. Annals of the CIRP, 42(2), 651–658.
Kolodner, J. L. (1984) Retrieval and Organizational Strategies in Conceptual Memory: A Computer Model, Lawrence Erlebaum, Hillsdale, NJ.
Lee, K. and Gadh, R. (1995) Computer aided design for disassembly: a destructive approach, in Proceedings of Symposium on Concurrent Product and Process Engineering, International Mechanical Engineering Congress and Exposition '95, San Francisco, pp. 1–13.
Meier, B. (1993) Breaking down an arms buildup: dismantling and recycling weapons. New York Times, (15 October, late New York edition), D1–D2.
Mitchell, T. and Mostow, J. (1987) Artificial intelligence and design, syllabus for 4th tutorial, presented at AAAI-87, Seattle, WA.
Mostow, J. (1989) Design by derivational analogy: issues in the automated replay of design plans. Artificial Intelligence, 40(1-3) 119–184.
Newell, A. (1980) Reasoning, problem solving and decision processes: the problem space as a fundamental category, in Attention and Performance VIII, Nickerson, R. (ed.), Lawrence Erlbaum, Hillsdale, NJ, pp. 693–718.
Schank, R. C. (1982) Dynamic Memory, Cambridge University Press, Cambridge.
Schank, R. C. and Adelson, R. P. (1977) Scripts, Plans, Goals and Understanding, Lawrence Erlbaum, Hillsdale, NJ.
Subramani, A. K. and Dewhurst, P. (1991) Automatic generation of product disassembly sequences. Annals of the CIRP, 40(1), 115–118.
Taleb, K. N., Gupta, S. M. and Brennan, L. (1997) Disassembly of complex products with parts and materials commonality. Production Planning and Control, 8(3).
Winston, P. H. (1984) Artificial Intelligence, Addison-Wesley, Reading, MA.
Woo, T. C. and Dutta, D. (1991) Automatic disassembly and total ordering in three dimensions. Transactions of the ASME, Journal of Engineering for Industry, 113(2), 207–313.
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ZEID , I., M.GUPTA , S. & BARDASZ , T. A case-based reasoning approach to planning for disassembly. Journal of Intelligent Manufacturing 8, 97–106 (1997). https://doi.org/10.1023/A:1018500603358
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DOI: https://doi.org/10.1023/A:1018500603358