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A framework to manage reconfigurability in manufacturing

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  • Alessia Napoleone
  • Alessandro Pozzetti
  • Marco Macchi

Abstract

Nowadays, manufacturing firms are dealing with the unpredictability of market requirements and the frequent changes induced by technological innovation. For this reason, firms are more and more addressing the need to be responsive at an affordable cost. To do so, they are required to develop a capability called reconfigurability. This paper is a review of the existing literature because the current need makes interesting to reflect on the state of the art of reconfigurability as a concept. This reflection has led to focus on reconfigurability characteristics for both their relevance and their relationships with managerial decisions in manufacturing. To this end, a framework has been proposed. It is based on system lifecycle and production levels. These two elements have been deduced from literature and identified as relevant dimensions for decision-making.

Suggested Citation

  • Alessia Napoleone & Alessandro Pozzetti & Marco Macchi, 2018. "A framework to manage reconfigurability in manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 56(11), pages 3815-3837, June.
  • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:11:p:3815-3837
    DOI: 10.1080/00207543.2018.1437286
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    Cited by:

    1. Iris Maria Oliveira Sousa & FabĂ­ola Kaczam & Luciano Luiz Dalazen & Wenner Glaucio Lopes Lucena & Wesley Vieira Silva & Claudimar Pereira Veiga, 2024. "The dynamics of the life cycle theory and organizational culture: a systematic literature review," SN Business & Economics, Springer, vol. 4(1), pages 1-26, January.
    2. Alessia Napoleone & Alessandro Bruzzone & Ann-Louise Andersen & Thomas Ditlev Brunoe, 2022. "Fostering the Reuse of Manufacturing Resources for Resilient and Sustainable Supply Chains," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    3. Slim Zidi & Nadia Hamani & Lyes Kermad, 2022. "New metrics for measuring supply chain reconfigurability," Journal of Intelligent Manufacturing, Springer, vol. 33(8), pages 2371-2392, December.

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