Two-Level Integration for Data-Driven Multi-Operations Supply Chain System Optimization

Successfully managed supply chains are not only concerned by selling products, but also selling the value of delivering customer-specific products on time. In order to provide this value, the whole supply chain needs to be ready and flexible to fit each specific customer demand. In concrete terms, the decision-making will require to solve complex optimizations regarding the selection of the appropriate supply chain configurations in an operating timetable and execute these configurations on physical equipment in real time. The debate is not settled here as decision-making still need to get continuous feedback for replanning in case of deviations. Overall, it is reasonable to think that building such decision-making system for the entire supply chain is compulsory to set up an autonomous industrial plant. In this chapter, we propose a decision-making system with a two-level integration. The first-level architecture details the integration of the optimization tool within the control system, and the second-level architecture deals specifically with the optimization tool in which different operations planning and scheduling decisions are integrated. The export bulk port is considered as a real complex application, and experimentation is provided.