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Shop-floor scheduling as a competitive advantage: A study on the relevance of cyber-physical systems in different manufacturing contexts

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  • Romero-Silva, Rodrigo
  • Hernández-López, Gabriel

Abstract

The aim of this paper is to analyse the relevance of cyber-physical systems (CPS) in different manufacturing contexts and to study whether CPS could provide companies with competitive advantage by carrying out a better scheduling task. This paper is developed under the umbrella of contingency theory which states that certain technologies and practices are not universally applicable or relevant in every context; thus, only certain companies will benefit from using particular technologies or practices. The conclusion of this paper, developed through deductive reasoning and supported by preliminary simulation experiments and statistical tests, is that factories with an uncertain and demanding market environment as well as a complex production process could benefit the most from implementing a CPS at shop-floor level since a cyber-physical shop-floor will provide all the capabilities needed to carry out the complex scheduling task associated with this type of context. On the other hand, an increase in scheduling performance due to a CPS implementation in factories with simple production flows and stable demand could not be substantial enough to overcome the high cost of installing a fully operational CPS.

Suggested Citation

  • Romero-Silva, Rodrigo & Hernández-López, Gabriel, 2020. "Shop-floor scheduling as a competitive advantage: A study on the relevance of cyber-physical systems in different manufacturing contexts," International Journal of Production Economics, Elsevier, vol. 224(C).
    • Handle: RePEc:eee:proeco:v:224:y:2020:i:c:s0925527319303895
    DOI: 10.1016/j.ijpe.2019.107555
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    Cited by:

    1. Meloni, Carlo & Pranzo, Marco & Samà, Marcella, 2022. "Evaluation of VaR and CVaR for the makespan in interval valued blocking job shops," International Journal of Production Economics, Elsevier, vol. 247(C).
    2. Nasini, Stefano & Nessah, Rabia, 2022. "A multi-machine scheduling solution for homogeneous processing: Asymptotic approximation and applications," International Journal of Production Economics, Elsevier, vol. 251(C).
    3. Turkcan, Hulya & Imamoglu, Salih Zeki & Ince, Huseyin, 2022. "To be more innovative and more competitive in dynamic environments: The role of additive manufacturing," International Journal of Production Economics, Elsevier, vol. 246(C).

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