In this chapter, we will describe some case studies, which use simulation-based parametric or control optimization techniques to solve large-scale stochastic optimization problems. We will provide a general description of the problem and of the approach used in the solution process, rather than describing numerical details. Some of the problems discussed here can be solved both by control optimization and by parametric optimization methods.
KeywordsSupply Chain Control Chart Reinforcement Learning Inventory Control Automate Guide Vehicle
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