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Procedure Model for Supply Chain Digitalization Scenarios for a Data-Driven Supply Chain Risk Management

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Revisiting Supply Chain Risk

Part of the book series: Springer Series in Supply Chain Management ((SSSCM,volume 7))

Abstract

Screening existing literature on Supply Chain Risk Management (SCRM) shows that only sporadic attention is paid to real data-driven SCRM . Most tools and approaches lead to an expert knowledge-based SCRM. Due to the emerging topic of digitalization in supply chains, there is huge potential in building a data-driven, smart SCRM. Looking at the literature related to digitalization in supply chains reveals that most publications are related to actual applications and less attention is paid to conceptual models making digitalization manageable. This chapter presents a process model to support the management in developing and assessing supply chain process-oriented digitalization scenarios with a focus on risk prevention and reduction. Decision makers can decide between different maturity stages for their SCRM and develop digitalization scenarios in workshops supported by domain- mapping matrices to structure the process. The decision-making process ends with an evaluation approach.

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Authors and Affiliations

  1. Graduate School of Logistics, TU Dortmund University, Dortmund, Germany

    Florian Schlüter

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  1. Florian Schlüter
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Correspondence to Florian Schlüter .

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Editors and Affiliations

  1. Virginia Commonwealth University, Richmond, VA, USA

    George A. Zsidisin

  2. TU Dortmund University, Fraunhofer Institute for Material Flow and Logistics IML, Dortmund, Germany

    Michael Henke

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Schlüter, F. (2019). Procedure Model for Supply Chain Digitalization Scenarios for a Data-Driven Supply Chain Risk Management. In: Zsidisin, G., Henke, M. (eds) Revisiting Supply Chain Risk. Springer Series in Supply Chain Management, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-030-03813-7_8

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