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This book investigates human-machine systems through the use of case studies such as crankshaft maintenance, liner piston maintenance, and biodiesel blend performance.
Through mathematical modelling and using various case studies, the book provides an understanding of how a mathematical modelling approach can assist in working out problems in any industrial-oriented activity. Mathematical Modeling: Simulation Analysis and Industrial Applications details a data analysis approach using mathematical modeling sensitivity. This approach helps in the processing of any type of data and can predict the result so that based on the result, the activity can be controlled by knowing the most influencing variables or parameters involved in the phenomenon. This book helps to solve field and experimental problems of any research activity using a data-based modeling concept to assist in solving any type of problem.
Students in Manufacturing, Mechanical, and Industrial Engineering programs will find this book very useful. This topic has continued to advance and incorporate new concepts so that the manufacturing field continues to be a dynamic and exciting field of study.
Evaluation of the System
Concept of Field Data Based Modelling
Design of Experimentation
Experimentation
Formulation of Mathematical Model
Artificial Neural Network Simulation
Sensitivity Analysis
Interpretation of Mathematical Models
Index