Barnes & Noble Planning and Multi-Objective Optimization of Manufacturing Processes by Means of Empirical Surrogate Models at Hamilton Place in Chattanooga, TN
This book presents a methodology for planning of production processes. The methodology is based on kriging models and two approaches to the optimization of process chains. Extensions of the models for an application on noisy data are presented and assessed showing the improvements achieved by means of simulation studies. In addition, new criteria for a sequential design of experiments to the approach of the Paretofrontthe set of optimal solutions of compromise with regard to the component properties and process parametersare presented and compared with theoretical requirements and experimental results. These criteria allow it to benefit from the possibility of a local model refinement.
This book presents a methodology for planning of production processes. The methodology is based on kriging models and two approaches to the optimization of process chains. Extensions of the models for an application on noisy data are presented and assessed showing the improvements achieved by means of simulation studies. In addition, new criteria for a sequential design of experiments to the approach of the Paretofrontthe set of optimal solutions of compromise with regard to the component properties and process parametersare presented and compared with theoretical requirements and experimental results. These criteria allow it to benefit from the possibility of a local model refinement.
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