Oye Ibidapo-Obe – författare

This book presents an integrated systems approach to manufacturing and business enterprise. Traditionally, these topics are treated as separate and independent subjects, but the practical fact is that the manufacturing and the business enterprises are intertwined. Currently, there is no book on the market that addresses both subjects from an integrated systems engineering approach with a manufacturing engineering foundation. Topics covered include engineering process, systems modeling, business enterprise, forecasting, inventory management, product design, and project management.Features Provides in-depth treatment of modern manufacturing processes, systems, and tools Uses an integrated systems life-cycle approach to manufacturing and business Includes business proposals Discusses prototype manufacturing and/or business development processes Presents concepts, steps, and procedures for achieving an integrated enterprise of manufacturing and business

Issues such as logistics, the coordination of different teams, and automatic control of machinery become more difficult when dealing with large, complex projects. Yet all these activities have common elements and can be represented by mathematics. Linking theory to practice, Industrial Control Systems: Mathematical and Statistical Models and Techniques presents the mathematical foundation for building and implementing industrial control systems. The book contains mathematically rigorous models and techniques generally applicable to control systems with specific orientation toward industrial systems.An amalgamation of theoretical developments, applied formulations, implementation processes, and statistical control, the book covers: Industrial innovations and systems analysisSystems fundamentalsTechnical systemsProduction systemsSystems filtering theorySystems controlLinear and nonlinear systemsSwitching in systemsSystems communicationTransfer systemsStatistical experimental design models (factorial design and fractional factorial design)Response surface models (central composite design and Box–Behnken design)Examining system fundamentals and advanced topics, the book includes examples that demonstrate how to use the statistical designs to develop feedback controllers and minimum variance controller designs for industrial applications. Clearly detailing concepts and step-by-step procedures, it matches mathematics with practical applications, giving you the tools to achieve system control goals.