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Conceptual modelling for supply chain inventory visibility

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  • Zhang, Allan N.
  • Goh, Mark
  • Meng, Fanwen

Abstract

Visibility becomes increasingly important for companies that seek to globalise their supply chains due to the increasing complexity involved. This paper contributes to the research on Supply Chain Visibility (SCV) from an inventory perspective with a focus on inventory visibility, which is a critical part of SCV. The characteristics of Inventory Visibility (IV), which are inherited from SCV, are conceptually analysed. A theoretical model in terms of atom, single, and compound visibility, is developed based on the characteristics identified. A method for objectively measuring IV is presented together with a case example to demonstrate its convenience and usefulness.

Suggested Citation

  • Zhang, Allan N. & Goh, Mark & Meng, Fanwen, 2011. "Conceptual modelling for supply chain inventory visibility," International Journal of Production Economics, Elsevier, vol. 133(2), pages 578-585, October.
    • Handle: RePEc:eee:proeco:v:133:y:2011:i:2:p:578-585
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    References listed on IDEAS

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    2. Ovidiu-Alin DOBRICAN, 2013. "Forecasting Demand for Automotive Aftermarket Inventories," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 17(2), pages 119-129.
    3. Montecchi, Matteo & Plangger, Kirk & West, Douglas C., 2021. "Supply chain transparency: A bibliometric review and research agenda," International Journal of Production Economics, Elsevier, vol. 238(C).
    4. Ng, S.C.H. & Ho, G.T.S. & Wu, C.H., 2023. "Blockchain-IIoT-big data aided process control and quality analytics," International Journal of Production Economics, Elsevier, vol. 261(C).
    5. Caridi, Maria & Moretto, Antonella & Perego, Alessandro & Tumino, Angela, 2014. "The benefits of supply chain visibility: A value assessment model," International Journal of Production Economics, Elsevier, vol. 151(C), pages 1-19.

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