Linking 4.0 Technologies and performance indicators based on a reference Model for supply chain
Résumé
The challenge in the context of a supply chain is to provide a broad visibility of the decisions and imperatives necessary to achieve a reliable business network. Several performance models exist but none specifically related to supply chain decisions based on modelling. Moreover, the enormous amount of data collected for the control of supply chain leads often enterprise to implement technologies 4.0 without a clear vision of their requirements in terms of indicators. In this work we will present a complete methodology to help enterprises to control their supply chain and to choose the best technologies 4.0 to support their indicators. This methodology is based of supply chain decision reference models called Grailog based on the Grai method. The objective is to enrich the functions in order to provide decision support with the most comprehensive decisions. We will analyze how these technologies 4.0 are likely to support the reliability of performance indicators to make them "smarter" and best support decision-making throughout the supply chain.
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