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Virtual OBEYA for collaboration in supply chain projects

Author

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  • Fabienne Garcia

    (VALLOREM - Val de Loire Recherche en Management - UO - Université d'Orléans - UT - Université de Tours)

Abstract

Digital transformation of supply chains (SC) involves the deployment of complex projects, for which lean and agile management methods can be appropriate (Gaudenzi and Chrisopher, 2016). Visual management (VM) takes part of methods used in lean management and continuous improvement. Whereas VM has long been limited to shopfloor context, Obeya was introduced as a VM method for innovation and development projects to facilitate information sharing, collaboration and rapid decisions (Javadi et al., 2013). Geographically located in a single room, literally big room, traditional Obeya has proved its performance to deal with complex projects in a single location unit (Majava et al., 2019; Canonico et al., 2020). However, supply chain projects often gather people and teams from multiple locations and organizations. Virtual Obeya may address this issue and enable distributed SC project collaboration. With Covid experience of confinement, technologies used for Virtual Obeya have spread and gained audience while the need for teams using traditional Obeya to turn on the virtual form has revealed necessary. This extended abstract provides a synthesis on Obeya method for project management and presents how virtual Obeya can contribute to supply chain projects.

Suggested Citation

  • Fabienne Garcia, 2021. "Virtual OBEYA for collaboration in supply chain projects," Post-Print halshs-03521402, HAL.
    • Handle: RePEc:hal:journl:halshs-03521402
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-03521402
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    References listed on IDEAS

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    1. Umit Bititci & Paola Cocca & Aylin Ates, 2016. "Impact of visual performance management systems on the performance management practices of organisations," International Journal of Production Research, Taylor & Francis Journals, vol. 54(6), pages 1571-1593, March.
    2. Canonico, Paolo & De Nito, Ernesto & Esposito, Vincenza & Pezzillo Iacono, Mario & Consiglio, Stefano, 2020. "Knowledge creation in the automotive industry: Analysing obeya-oriented practices using the SECI model," Journal of Business Research, Elsevier, vol. 112(C), pages 450-457.
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