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Part of the book series: Applied Optimization ((APOP,volume 17))

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Abstract

In this chapter, the applicability of Group Technology models and clustering techniques of the industrial engineering and operation research community to the partitioning problem of electronic circuits is examined. The problem is shown to be NP-complete, hence intractable within most modern computing environments. Characteristics of the solution are outlined and a grouping heuristic algorithm is discussed. We derive lower bounds on the objective function for any set of constraints on pairs of gates that must be in the same chip. The lower bounds and the grouping heuristic procedure are used to develop a branch and bound algorithm. Finally, computational results are given for four test problems.

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References

  1. Askin, R.G. and K. S. Chiu, “A Graph Partitioning Procedure for Machine Assignment and Cell Formation in Group Technology,” International Journal of Production Research, Vol. 28, pp. 1555–1572, 1990.

    Article  MATH  Google Scholar 

  2. Boothroyd, G., Assembly Automation and Product Design, Marcel Dekker, New York, 1992.

    Google Scholar 

  3. Chandrasekharan, M.P. and R. Rajagopalan, “An Ideal Seed Non-Hierarchical Clustering Algorithm for Cellular Manufacturing,” International Journal of Production Research, Vol. 24, pp. 451–464, 1986a.

    Article  MATH  Google Scholar 

  4. Chandrasekharan, M.P. and R. Rajagopalan, “MODROC: An Extension of Rank Order Clustering for Group Technology,” International Journal of Production Research, Vol. 24, pp. 1221–1233, 19866.

    Google Scholar 

  5. Chu, C.H., “Manufacturing cell formation by competitive learning,” European Journal of Operational Research, Vol. 69 (3), pp. 292–311, 1993.

    Article  Google Scholar 

  6. Chung, Y., and A. Kusiak, “Grouping Parts with a Neural Network,” Journal of Manufacturing Systems, Vol. 13, pp. 262–275, 1994.

    Article  Google Scholar 

  7. Ersov, A.P. and G.I. Kozuhin, “Estimates of the Chromatic Number of Connected Graphs,” Soviet Mathematics, Translation of Doklady Akademii Nauk SSSR, Vol. 3, pp. 50–53, 1962.

    Google Scholar 

  8. Garey, M.R. and D.S. Johnson, Computers and Intractability: A Guide to the Theory of NP-Completeness, Freeman, San Francisco, CA, 1979.

    MATH  Google Scholar 

  9. Harhalakis, G., Nagi, R. and J.M. Proth, “An Efficient Heuristic in Manufacturing Cell Formation for Group Technology Applications,” International Journal of Production Research, Vol. 28, pp. 185–198, 1990.

    Article  Google Scholar 

  10. Harhalakis, G., Proth, J.M. and X. L. Xie, “Manufacturing cell design using simulated annealing: an industrial application,” Journal of Intelligent Manufacturing, pp. 185–191, 1990.

    Google Scholar 

  11. Kaparthi, S., Suresh, N.C. and R.P. Cerveny, “ An improved neural network leader algorithm for part-machine grouping in group technology,” European Journal of Operational Research, Vol. 69, pp. 342–356, 1993.

    Article  MATH  Google Scholar 

  12. King, J.R., “Machine-Component Group Formation in Group Technology,” OMEGA: The International Journal of Management Science, Vol. 8, pp. 193–199, 1980a.

    Article  Google Scholar 

  13. King, J.R., “Machine-Component Grouping in Production Flow Analysis: An Approach Using a Rank-Order Clustering Algorithm,” International Journal of Production Research, Vol. 18, pp. 213–232, 19806.

    Google Scholar 

  14. Kumar, K.R., Kusiak, A. and A. Vannelli, “Grouping of Parts and Components in Flexible Manufacturing Systems,” European Journal of Operational Research, Vol. 24, pp. 387–397, 1986.

    Article  Google Scholar 

  15. Kusiak, A., “The Generalized Group Technology Concept,” International Journal of Production Research, Vol. 25, pp. 561–569, 1987.

    Article  Google Scholar 

  16. Liu, C.M. and J.K. Wu, “Machine cell formation: using the simulated anneling algorithm,” International Journal Computer Integrated Manufacturing, Vol. 6 (6), pp. 335–349, 1993.

    Article  Google Scholar 

  17. Maimon, O. and A. Shtub, “Grouping Methods for Printed Circuit Boards Assembly,” International Journal of Production Research, Vol. 29, pp. 1379–1390, 1991.

    Article  Google Scholar 

  18. McGinnis, L. F., J.C. Ammons, M. Carlyle, Ranmer L., Depuy, G. W., Ellis, K. P., Tovey C. A. and H. Xu, “Automated Process Planning for Printed Circuit Card Assembly,” IIE Transactions, 24, pp. 18–26, 1992.

    Article  Google Scholar 

  19. Papadimitriou, C.H. and K. Steiglitz, Combinatorial Optimization: Algorithms and Complexity, Prentice Hall, Englewood Cliffs, NJ, 1982.

    MATH  Google Scholar 

  20. Pierreval, H. and M. F. Plaquin, “A Genetic Algorithm Approach to Group Machines into Manufacturing Cells,” Proceeding of the Fourth International Conference on Computer Integrated Manufacturing and Automation Technology, pp. 267–271, 1994.

    Google Scholar 

  21. Rajagopalan, R. and J.L. Batra, “Design of Cellular Production Systems: A Graph Theoretic Approach,” International Journal of Production Research, Vol. 13, pp. 567–579, 1975.

    Article  Google Scholar 

  22. Rockwell, T.H. and W.E. Wilhelm, “Material Flow Management in Cellular Configurations for Small-Lot Circuit Card Assembly,” International Journal of Production Research, Vol. 28, pp. 573–594, 1990.

    Article  Google Scholar 

  23. Shafer, S.M. and Meredith, J.R., “A Comparison of Selected Manufacturing Cell Formation Techniques,” International Journal of Production Research, Vol. 28, pp. 661–673, 1990.

    Article  Google Scholar 

  24. Shtub, A., “Modeling Group Technology Cell Formation as a Generalized Assignment Problem,” International Journal of Production Research, Vol. 27, pp. 775–782, 1989.

    Article  Google Scholar 

  25. Singh, N., “Design of cellular manufacturing systems: An invited review,” European Journal of Operational Research, Vol. 69, pp. 284–291, 1993.

    Article  Google Scholar 

  26. Vannelli, A. and K.R. Kumar, “A Method for Finding Minimal Bottle-Neck Cells for Grouping Part-Machine Families,” International Journal of Production Research, Vol. 24, pp. 387–400, 1986.

    Article  Google Scholar 

  27. Daskin, M., O. Maimon, A. Shtub and Braha D., “A Branch and Bound Algorithm for Grouping Components in Printed Circuits Board Production,” International Journal of Production Research,to appear.

    Google Scholar 

  28. Lindsey, D., The Design and Drafting of Printed Circuits, revised ed., Bishop Graphics Inc., CA, 1984.

    Google Scholar 

  29. Breuer, M.A., “Min-Cut Placement,” Journal of Design Automation and Fault Tolerant Computing,“ Vol. 1, pp. 343–362, 1977.

    Google Scholar 

  30. Fisher, D. H., “Knowledge Acquisition via Incremental Conceptual Clustering,” Machine Learning, Vol. 2 (7), pp. 139–172, 1987.

    Google Scholar 

  31. Reich, Y., “Measuring the Value of Knowledge,” International Journal of Human-Computer Studies, Vol. 42, pp. 3–30, 1995.

    Article  Google Scholar 

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© 1998 Springer Science+Business Media Dordrecht

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Braha, D., Maimon, O. (1998). Physical Design of Printed Circuit Boards: Group Technology Approach. In: A Mathematical Theory of Design: Foundations, Algorithms and Applications. Applied Optimization, vol 17. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2872-9_11

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  • DOI: https://doi.org/10.1007/978-1-4757-2872-9_11

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-4798-7

  • Online ISBN: 978-1-4757-2872-9

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