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Conference Papers Year : 2022

A DSS Based on a Control Tower for Supply Chain Risks Management

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Abstract

This paper presents a supply chain control tower deployed with a decision support system for supply chain risk management in a multi-source data and risk environment. The study provides a digital risk management process and a group decision making approach for companies to improve their supply chain resilience in a supply chain risk environment. We have designed the system from two perspectives. Supply Chain Control Tower and Supply Chain Risk Management. Supply chain risks are mainly all the risks faced in the process from product design to delivery to customers. Supply chain risk management is a very complex activity that requires assessing the vulnerability of all participants in the supply chain. It is a multi-step process. The Supply Chain Control Tower is a dashboard that integrates information from across the supply chain. The supply chain control tower integrates multiple data sources, key performance indicators and activity sources in the supply chain. The control tower should include an intelligent decision support system that uses decision support models and technologies, such as machine learning, to provide decision support and ranking of alternative strategies for supply chain managers. Results. In this paper, a decision support system-based supply chain control tower is designed to support supply chain decision makers in selecting the most appropriate alternative strategies to reduce the risk impact and enhance the resilience of the supply chain.
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Dates and versions

hal-03670350 , version 1 (17-05-2022)

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Chenhui Ye, Pascale Zaraté, Daouda Kamissoko. A DSS Based on a Control Tower for Supply Chain Risks Management. ICDSST 2022 - 8th International Conference on Decision Support System Technology, May 2022, Thessalonique, Greece. pp.124-136, ⟨10.1007/978-3-031-06530-9_10⟩. ⟨hal-03670350⟩
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