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Machine grouping in cellular manufacturing

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  • Offodile, O Felix

Abstract

Recent productivity gains enjoyed by Japan and other European countries have prompted more manufacturers from other countries to explore the use of advanced technologies as a means of improving their competitive edge in the world market. This paper presents a brief review of two of these technologies: robotics and group technologies (GT). Various research issues are discussed for each technology together with the strengths and weaknesses of the papers reviewed. As a means of integrating the two technologies, a group technology-based model for selecting robots for manufacturing cells is presented. An appropriate definition of similarity measure for the weighted codes of coding and classification analysis in GT is presented using a robot coding system example. A single linkage clustering algorithm is then proposed for use in finding robot clusters for a manufacturing cell. Finally a numerical example is presented to illustrate the model.

Suggested Citation

  • Offodile, O Felix, 1993. "Machine grouping in cellular manufacturing," Omega, Elsevier, vol. 21(1), pages 35-52, January.
    • Handle: RePEc:eee:jomega:v:21:y:1993:i:1:p:35-52
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    Cited by:

    1. Yin, Yong & Yasuda, Kazuhiko, 2006. "Similarity coefficient methods applied to the cell formation problem: A taxonomy and review," International Journal of Production Economics, Elsevier, vol. 101(2), pages 329-352, June.
    2. Aggarwal, S., 1995. "Emerging hard and soft technologies: current status, issues and implementation problems," Omega, Elsevier, vol. 23(3), pages 323-339, June.
    3. Aggarwal, Sumer, 1998. "Re-engineering: a breakthrough or little new?," Socio-Economic Planning Sciences, Elsevier, vol. 32(2), pages 155-167, June.
    4. Zhang, Zhe & Gong, Xue & Song, Xiaoling & Yin, Yong & Lev, Benjamin & Chen, Jie, 2022. "A column generation-based exact solution method for seru scheduling problems," Omega, Elsevier, vol. 108(C).

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