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Strategic Supply Chain Planning and Risk Management: Experiment of a Decision Support System Gathering Business Departments Around a Common Vision

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  • Raphaël Oger

    (CGI - Centre Génie Industriel - IMT Mines Albi - IMT École nationale supérieure des Mines d'Albi-Carmaux - IMT - Institut Mines-Télécom [Paris])

  • Matthieu Lauras

    (CGI - Centre Génie Industriel - IMT Mines Albi - IMT École nationale supérieure des Mines d'Albi-Carmaux - IMT - Institut Mines-Télécom [Paris])

  • Frederick Benaben

    (CGI - Centre Génie Industriel - IMT Mines Albi - IMT École nationale supérieure des Mines d'Albi-Carmaux - IMT - Institut Mines-Télécom [Paris])

  • Benoit Montreuil

    (Georgia Institute of Technology [Atlanta])

Abstract

Strategic supply chain planning and supply chain risk management are two fields of supply chain management that are inseparable nowadays. The ability to consider risks is essential to maintain business performance. In addition, integrating the different business departments' visions in a common business vision is necessary to properly plan the future of a company. However, it is still a challenge for companies to design and maintain a decision-making process supporting strategic supply chain decisions that integrates risk management and unify business vision across departments. This paper relates an industrial experiment as an attempt to meet this challenge. This experiment was asked by a pharmaceutical company with the aim of supporting strategic decisions regarding its network of suppliers. It led to a decision-making process including the use of a computerized information system composed of a software for computations and a business intelligence software to easily make decisions. This process was put in practice on a pilot use case with two years old data. It resulted in the identification of several decisions that could have been made if the process was in operation two years ago, which is considered as a first validation of the approach. Finally, limitations have been identified regarding the data collection, opening avenues for future research on an innovative approach combining supply chain hyperconnectivity and event-driven principles.

Suggested Citation

  • Raphaël Oger & Matthieu Lauras & Frederick Benaben & Benoit Montreuil, 2019. "Strategic Supply Chain Planning and Risk Management: Experiment of a Decision Support System Gathering Business Departments Around a Common Vision," Post-Print hal-02384806, HAL.
    • Handle: RePEc:hal:journl:hal-02384806
    DOI: 10.1109/IESM45758.2019.8948116
    Note: View the original document on HAL open archive server: https://imt-mines-albi.hal.science/hal-02384806v1
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    References listed on IDEAS

    as
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    3. Surya Prakash & Gunjan Soni & Ajay Pal Singh Rathore, 2017. "A critical analysis of supply chain risk management content: a structured literature review," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 14(1), pages 69-90, February.
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    5. Raphaël Oger & Frederick Benaben & Matthieu Lauras & Benoit Montreuil, 2018. "Towards Decision Support Automation for Supply Chain Risk Management among Logistics Network Stakeholders," Post-Print hal-01884393, HAL.
    6. Raphaël Oger & Benoit Montreuil & Matthieu Lauras & Frederick Benaben, 2018. "Towards Hyperconnected Supply Chain Capability Planning: Conceptual Framework Proposal," Post-Print hal-01875900, HAL.
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