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Socio-technical perspective on manufacturing system synergies

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  • A. Das
  • Jayanth Jayaram

Abstract

A micro-level perspective using socio-technical theory is used to examine synergies in advanced manufacturing systems (AMS) and their impact on manufacturing performance. It is proposed that the system-level interactions predicated by socio-technical theory extend to the subsystem-level. AMS are classified into three constituent subsystems – technological, manufacturing methods and high-involvement work practices – and hypothesize various ‘microsystems’ formed by combinations of the components of these subsystems. Each ‘microsystem’ is hypothesized to have an impact on particular dimensions of performance. The hypothesis is tested by employing regression analysis. The findings isolate synergistic influences among the components of AMSs on performance. The implications of these findings are discussed in the light of theory and practice.

Suggested Citation

  • A. Das & Jayanth Jayaram, 2007. "Socio-technical perspective on manufacturing system synergies," International Journal of Production Research, Taylor & Francis Journals, vol. 45(1), pages 169-205, January.
    • Handle: RePEc:taf:tprsxx:v:45:y:2007:i:1:p:169-205
    DOI: 10.1080/00207540500381039
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    Cited by:

    1. António B. Moniz & Bettina-Johanna Krings, 2016. "Robots Working with Humans or Humans Working with Robots? Searching for Social Dimensions in New Human-Robot Interaction in Industry," Societies, MDPI, vol. 6(3), pages 1-21, August.
    2. Jayaram, Jayanth & Das, Ajay & Nicolae, Mariana, 2010. "Looking beyond the obvious: Unraveling the Toyota production system," International Journal of Production Economics, Elsevier, vol. 128(1), pages 280-291, November.
    3. Alba Manresa & Andrea Bikfalvi & Alexandra Simon, 2021. "Investigating the impact of new technologies and organizational practices on operational performance: evidence from Spanish manufacturing companies," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(4), pages 1317-1327, December.
    4. Shou, Yongyi & Zhao, Xinyu & Dai, Jing & Xu, Dong, 2021. "Matching traceability and supply chain coordination: Achieving operational innovation for superior performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    5. Khanchanapong, Teerasak & Prajogo, Daniel & Sohal, Amrik S. & Cooper, Brian K. & Yeung, Andy C.L. & Cheng, T.C.E., 2014. "The unique and complementary effects of manufacturing technologies and lean practices on manufacturing operational performance," International Journal of Production Economics, Elsevier, vol. 153(C), pages 191-203.

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