Towards Decision Support Automation for Supply Chain Risk Management among Logistics Network Stakeholders

Raphaël Oger (), Frederick Benaben (), Matthieu Lauras () 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]
Frederick Benaben: 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]
Benoit Montreuil: Georgia Institute of Technology [Atlanta]

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Abstract: This paper is one pillar of a research project aimed to design a decision support system supporting collaborative Supply Chain Risk Management among logistics network stakeholders. It presents the motivation behind this objective, and the contribution towards this objective: a methodology to automatically deduce all the supply chain options enabled by a logistics network to fulfil the demand. This methodology is introduced as part of a decision support automation framework for Supply Chain Risk and Opportunity Management among logistics network stakeholders. The methodology focuses on strategic and tactical supply chain decisions, and on manufacturing stakeholders.

Keywords: Decision Support; Strategic Business Planning; Supply Chain Risk Management; Supply Chain; Logistics Network; Supply Chain Design; Risk Management; Opportunity Management (search for similar items in EconPapers)
Date: 2018-06-11
New Economics Papers: this item is included in nep-rmg and nep-tre
Note: View the original document on HAL open archive server: https://hal.science/hal-01884393v1
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Published in 16th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2018), Jun 2018, Bergamo, Italy. p.1505-1510, ⟨10.1016/j.ifacol.2018.08.287⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01884393

DOI: 10.1016/j.ifacol.2018.08.287

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