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Industrial Simulation and Optimization
Manufacturing Simulation and Optimization using system dynamics, structural equation modeling, and genetic algorithms
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Strategic planning and control are among the most critical activities that modern enterprises require to succeed in the global economy. This research is an original study that investigates the combination of tools and methodologies in order to create mathematical models and algorithms oriented towards the identification of the most critical variables of a particular process. The same procedure can be utilized without restriction to any industrial process and/or financial system. The current book is a real industrial study that explores a practical approach that seeks to answer: 1. What are the most statistically significant variables that affect a selected industrial process 2. What are the significant effects of the causal relationships identified in order to determine an initial model structure 3. What are the most significant variables that affect the response factors in the industrial process 4. What constrains restrict the behavior and optimization of the selected variables 5. How these variables can be improved using genetic algorithms in order to develop business scenarios.
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