The philosophy of group technology (GT) is an important concept in the design of flexible manufacturing systems and manufacturing cells. Group technology is a manufacturing philosophy that identifies similar parts and groups them into families. Beside assigning unique codes to these parts, group technology developers intend to take advantage of part similarities during design and manufacturing processes. GT is not the answer to all manufacturing problems, but it is a good management technique with which to standardize efforts and eliminate duplication. Group technology classifies parts by assigning them to different families based on their similarities in: (1) design attributes (physical shape and size), and/or (2) manufacturing attributes (processing sequence). The manufacturing industry today is process focused; departments and sub units are no longer independent but are interdependent. If the product development process is to be optimized, engineering and manufacturing cannot remain independent any more: they must be coordinated. Each sub-system is a critical component within an integrated manufacturing framework. The coding and classification system is the basis of CAPP and the functioning and reliability of CAPP depends on the robustness of the coding system. The proposed coding system is considered superior to the previously proposed coding systems, in that it has the capability to migrate into multiple manufacturing environments. This article presents the design of a coding and classification system and the supporting database for manufacturing processes based on both design and manufacturing attributes of parts. An interface with the spreadsheet will calculate the machine operation costs for various processes. This menu-driven interactive package is implemented using dBASE-IV. Part Family formation is achieved using a KAMCELL package developed in TURBO Pascal.
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References
Amirouche, F. M. L. (1993) Computer Aided Design and Manufacturing, Prentice-Hall, Englewood Cliffs, NJ.
Anderberg, M. R. (1973) Cluster Analysis for Applications, Academic Press, New York.
Bedworth, D., David, Henderson, R., Mark, Wolfe, M., Philip (1991) Computer Integrated Design and Manufacturing, McGraw-Hill, New York.
Billo, R. E., Ruker, R. and Shunk, D. L. (1987) Integration of a group technology classification and coding system with an engineering database. Journal of Manufacturing Systems, 6(1), 37–45.
Black, J. T. (1991) The Design of the Factory with a Future, McGraw-Hill, New York.
Chang, T. C. and Wysk, R. A. (1985) An Introduction to Automated Process Planning Systems, Prentice-Hall, Englewood Cliffs, NJ.
Chang, T., Wysk, R. A. and Wang, H. (1991) Computer Aided Manufacturing, International series in Industrial and System Engineering, Fabrycky, W. and Mize, J. (eds), Prentice-Hall, Englewood Cliffs, NJ.
Chu, C. and Pan, P. (1988) The use of clustering techniques in manufacturing cellular formation, in Proceedings of International Industrial Engineering Conference, IIE, Toronto, Canada.
Degarmo, E. P., Black, J. T. and Kohser, R. A. (1984) Material and Processes in Manufacturing (6th ed.), Macmillan Publishing.
Dutta, S. P., Lashkari, R. S., Nadoli, G. and Ravi, T. (1986) A heuristic procedure for determining manufacturing families from design-based grouping for flexible manufacturing systems. Computer and Industrial Engineering, 10(3), 193–201.
Eades, D. C. (1965) The inappropriateness of the correlation coefficient as a measure of taxonomic resemblance. Systematic Zoology, 14, 98–100.
Goodall, D. W. (1966) A new similarity index based on probability. Biometrics, 22, 882–907.
Groover, M. P. (1987) Automation, Production Systems, and Computer Integrated Manufacturing, Prentice-Hall, Englewood Cliffs, NJ.
Groover, M. P. and Zimmers Jr., E. W. (1980) Automation, Production Systems and Computer Aided Design, Prentice-Hall, Englewood Cliffs, NJ.
Houtzeel, A. and Schilperoort, B. A. (1976) A chain-structured part classification system (MICLASS) and group technology, in Proceedings of the 13th Annual Meeting and Technical Conference, Cincinnati, Ohio, March, pp. 383–400.
Kamrani, A. K. (1991) A methodology for forming machine cells in a computer integrated manufacturing environment using group technology philosophy, Doctor of Philosophy Dissertation, University of Louisville, Louisville, KY.
Kusiak, A. (1985) The part families problem in flexible manufacturing systems. Annals of Operation Research, 279–300.
Kusiak, A. (1990) Intelligent Manufacturing Systems, International Series in Industrial and Systems Engineering, Prentice-Hall, Englewood Cliffs, NJ.
McAuley, J. (1972) Machine grouping for efficient production, Production Engineer.
Opitz, H. (1970) A Classification System to Describe Work-Pieces, Pergamon Press, New York.
Pavey, S. G., Halistone, S. R. and Pratt, M. J. (1986) An automated interface between CAD and process planning, in Proceedings of the International Conference on Computer Aided Production Engineering, pp. 191–194.
Senath, P. H. A. and Sokal, R. R. (1973) Numerical Taxonomy: The Principles and Practice of Numerical Classification, Freeman Press, San Francisco.
SME (1983) Tool and Manufacturing Engineers Handbook.
Snead, C. S. (1989)Group Technology: Foundation for Competitive Manufacturing, Van Nostrand Reinhold, New York.
Wang, H. P. and Chang, H. (1987) Automated classification and coding based on extracted surface features in a CAD database. International Journal of Advanced Manufacturing Technology, 2(1), 25–38.
Willett, P. (1987) Similarity and Clustering in Chemical Information Systems, Wiley, New York.
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Agarwal, M., Kamrani, A.K. & Parsaei, H.R. An automated coding and classification system with supporting database for effective design of manufacturing systems. J Intell Manuf 5, 235–249 (1994). https://doi.org/10.1007/BF00123696
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DOI: https://doi.org/10.1007/BF00123696