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The evolution of manufacturing systems: Towards the post-industrial enterprise


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  • Doll, WJ
  • Vonderembse, MA
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    The post-industrial manufacturing era is likely to be characterized by increased market diversity, rapid market and technological change, and the world-wide spread of advanced manufacturing technologies. Many firms have had difficulty responding to changing customer needs while improving productivity. Implicitly if not explicitly, top management's responses to these challenges are shaped by two alternative paradigms for managing manufacturing firms--industrial and post-industrial. The industrial paradigm, based on an economic/technical perspective, views manufacturing as a functional area. In contrast, the post-industrial paradigm, based on a customer-oriented sociotechnical perspective, views manufacturing as an enterprise. This paper presents a stage model of the evolution of manufacturing from craft systems, to industrial systems, to the emerging post-industrial manufacturing enterprise. The attributes of each stage are described and the forces driving the evolutionary process are discussed. The authors contend that industrial and post-industrial enterprises seek innovativeness and efficiency in different ways. This model of the evolution of manufacturing systems is used to provide one explanation of the difficulty firms have had adapting to the new era in manufacturing.

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    Bibliographic Info

    Article provided by Elsevier in its journal Omega.

    Volume (Year): 19 (1991)
    Issue (Month): 5 ()
    Pages: 401-411

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    Handle: RePEc:eee:jomega:v:19:y:1991:i:5:p:401-411

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    Keywords: manufacturing systems technological change industrial paradigms;


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    Cited by:
    1. Marsillac, Erika & Roh, James Jungbae, 2014. "Connecting product design, process and supply chain decisions to strengthen global supply chain capabilities," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 317-329.
    2. Hipkin, I. B. & Lockett, A. G., 1995. "A study of maintenance technology implementation," Omega, Elsevier, vol. 23(1), pages 79-88, February.
    3. Polychronakis, Yiannis E. & Syntetos, Aris A., 2007. "`Soft' supplier management related issues: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 106(2), pages 431-449, April.
    4. Albert Plugge & Jacques Brook, 2011. "Examining the Implications of Organizational Structure Changes from a Transaction Cost Perspective: a Longitudinal Study of an Outsourcing Vendor," Working Papers 2011/12, Maastricht School of Management.
    5. Koufteros, Xenophon A. & Nahm, Abraham Y. & Edwin Cheng, T.C. & Lai, Kee-hung, 2007. "An empirical assessment of a nomological network of organizational design constructs: From culture to structure to pull production to performance," International Journal of Production Economics, Elsevier, vol. 106(2), pages 468-492, April.
    6. Hipkin, I. B. & De Cock, C., 2000. "TQM and BPR: lessons for maintenance management," Omega, Elsevier, vol. 28(3), pages 277-292, June.


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