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On the other hand, the company is a supplier satisfying demand signals from downstream customers. In this role, the manufacturing company warehouses and transports (perhaps relying on subcontractors) a variety of products to a range of geographically disperse consumers. These include other manufactures and their subcontractors, distributors, and end users,(More)
High-volume, multistage continuous production flow through a re-entrant factory is modeled through a conservation law for a continuous-density variable on a continuous-production line augmented by a state equation for the speed of the production along the production line. The resulting nonlinear, nonlocal hyperbolic conservation law allows fast and accurate(More)
Model Predictive Control (MPC) is shown to provide a robust, flexible framework to stabilize inventories yet still meet customer demand with minimal safety stock. The translation of available information in the supply chain problem into MPC variables is demonstrated with a two-node supply chain example. A six-node, two-product, three-echelon demand network(More)
Based on the experience in manufacturing production scheduling problems which the AI community has amassed over the last ten years, a workshop was held to provide a forum for discussion of the issues encountered in the design of AI-based scheduling systems. Several topics were addressed including : the relative virtues of expert system , deep method, and(More)
Model Predictive Control (MPC) is presented as a tactical decision module for supply chain management in semiconductor manufacturing. A representative problem which includes distinguishing features of semiconductor manufacturing supply chains, such as material reconfiguration and stochastic product splits, is examined. Fluid analogies are used to model the(More)
Building computational models of real world systems usually requires the interaction of decision modules and simulation modules. Given different models and algorithms, the major hurdles in building a principled and robust system are model composibility and algorithm interoperability. We describe an approach to the composibility problem including initial(More)