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

Raphaël Oger (), Matthieu Lauras (), Frederick Benaben () and Benoit Montreuil ()
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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]

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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.

Keywords: Decision Support Systems; Supply Chain Risk Management; Strategic Supply Chain Planning; Decision-Making Process; Business Visions Unification (search for similar items in EconPapers)
Date: 2019-09-25
New Economics Papers: this item is included in nep-rmg
Note: View the original document on HAL open archive server: https://imt-mines-albi.hal.science/hal-02384806v1
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Published in 8th International Conference on Industrial Engineering and Systems Management (IESM 2019), Sep 2019, Shanghai, China. p. 306-311, ⟨10.1109/IESM45758.2019.8948116⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02384806

DOI: 10.1109/IESM45758.2019.8948116

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