Graduate Supervisory Committee:


Supply-chain networks such as semiconductor manufacturing systems exhibit a high de-gree of structural and behavioral complexity. Simulation modeling concepts, approaches, and tools are the primary means for analysis and design of intricate behavior and relation-ships found in many of today’s supply-chain networks. A fundamental barrier in developing rigorous simulation models of supply-chain systems is the necessity of using inherently dif-ferent kinds of models and simulators. This is because no single modeling and simulation framework has been shown to adequately represent, at a realistic level of detail, a supply-chain system with tactical (short-term) control and strategic (long-term) planning policies. Composition of disparate model types affords rigorous synthesis of complementary classes of simulation, control, and optimization models. A novel framework using an approach called Knowledge Interchange Broker (KIB) was developed for composing the distinct classes of Discrete Event System Specification (DEVS), Model Predictive Control (MPC), and Linear Optimization (LP) models. First, the KIB model composability approach was employed to compose DEVS and MPC modeling formalisms. A KIBDEVS/MPC was developed an

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