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Model-based predictive control for generalized production planning problems
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DOI：10.1016/S0166-3615(97)00055-9.png)
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Abstract
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This paper introduces and elucidates the concept of model-based predictive control (MBPC) used as a decision-making tool for handling complex integrated production planning problems within a stochastic environment. First, a functional overview of the MBPC methodology is provided, then the framework under which the MBPC approach is used as a decision-making tool is given. Simulation experiments have strongly indicated the flexibility and effectiveness of the proposed approach. (C) 1997 Elsevier Science B.V.
Keywords:
production planning
inventory systems
model-based predictive control
decision under uncertainty
advertisement process
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