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The benefits of supply chain visibility: A value assessment model

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  • Caridi, Maria
  • Moretto, Antonella
  • Perego, Alessandro
  • Tumino, Angela

Abstract

In recent years, much attention has been devoted to the topic of supply chain visibility in the scientific literature. However, a thorough assessment of the benefits enabled by supply chain visibility has not yet been undertaken. This paper aims to provide a structured method and a set of assessment tools for quantifying the benefits that can be achieved through better visibility on the inbound supply chain. The method consists of a nine step process for assessing the value of an improvement in supply chain visibility; the tools are ten causal maps, which depict the KPIs affected by an improvement in the quality and/or quantity of focal company׳s visibility on specific information flows (e.g. order status, inventory level, delivery plan, etc.). The method is based on the literature, while the tools were developed through a focus group of nine practitioners. The resulting model (i.e. method and tools) was applied to the supply chain of a prominent company in the aerospace industry in order to explore its applicability in a practical context. The model proved to be efficient, since it could be easily customised in accordance with the level of effort managers wanted to put into the evaluation, and effective, thus providing reliable estimates of likely KPI improvements.

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  • 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.
  • Handle: RePEc:eee:proeco:v:151:y:2014:i:c:p:1-19
    DOI: 10.1016/j.ijpe.2013.12.025
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    3. Lechaptois, Lucie, 2020. "Framing supply chain visibility through a multi-field approach," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Lo, volume 29, pages 487-519, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    4. Ralph Tröger & Rainer Alt, 2017. "Design options for supply chain visibility services: learnings from three EPCIS implementations," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(2), pages 141-156, May.
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    6. Hussain, Safdar & Ahmed, Wasim & Rabnawaz, Ambar & Jafar, Rana Muhammad Sohail & Akhtar, Haseeb & GuangJu, Wang & Ullah, Sana & JianZhou, Yang, 2015. "Integration and Effective Supply Chain Management: A Review of Agriculture in Pakistan and China," MPRA Paper 70380, University Library of Munich, Germany.
    7. 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).
    8. Deep Shumank & Asim Mohd & Kesarwani Neeti & Kandpal Shweta, 2018. "Identification of Delay Causing Actor in the Indian Real Estate Project: an AHP-Based Approach," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 6(1), pages 116-130, September.
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