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This book presents the proceedings from the 5th NEWTECH conference (Belgrade, Serbia, 5–9 June 2017), the latest in a series of high-level conferences that bring together experts from academia and industry in order to exchange knowledge, ideas, experiences, research results, and information in the field of manufacturing. The range of topics addressed is wide, including, for example, machine tool research and in-machine measurements, progress in CAD/CAM technologies, rapid prototyping and reverse engineering, nanomanufacturing, advanced material processing, functional and protective surfaces, and cyber-physical and reconfigurable manufacturing systems. The book will benefit readers by providing updates on key issues and recent progress in manufacturing engineering and technologies and will aid the transfer of valuable knowledge to the next generation of academics and practitioners. It will appeal to all who work or conduct research in this rapidly evolving field.

Machine elements --- Applied physical engineering --- Plant and equipment --- Production management --- fabrieken --- productie --- machines --- ingenieurswetenschappen

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We present a special e-book from The TQM Journal with selected papers from the Seventh International Working Conference on 'Total Quality Management - Advanced and Intelligent Approaches', which took place in Belgrade, Serbia, from 3rd - 7th June, 2013. This traditional conference was supported by the world's most important scientific and professional organizations for quality and engineering (CIRP, IFIP, IMEKO, IFAC, EOQ, JUSE, AAQ, PAQ etc.). The conference accepted 112 papers from 37 countries in Asia, Africa, North and South America and Europe. The conference included 384 participants (alo

Production management. --- Quality assurance. --- Quality control.

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This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi’s quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated using four case studies relating to high-tech industries and advanced, non-conventional processes.

Expert systems (Computer science). --- Manufacturing industries. --- Process control -- Data processing. --- Mechanical Engineering --- Engineering & Applied Sciences --- Mechanical Engineering - General --- Process control --- Expert systems (Computer science) --- Data processing. --- Knowledge-based systems (Computer science) --- Systems, Expert (Computer science) --- Engineering. --- Operations research. --- Decision making. --- Artificial intelligence. --- Computational intelligence. --- Robotics. --- Automation. --- Machines. --- Tools. --- Manufacturing, Machines, Tools. --- Artificial Intelligence (incl. Robotics). --- Robotics and Automation. --- Computational Intelligence. --- Operation Research/Decision Theory. --- Industries --- Manufactures --- Hand tools --- Handtools --- Hardware --- Implements, utensils, etc. --- Machinery --- Machines --- Power (Mechanics) --- Technology --- Mechanical engineering --- Motors --- Power transmission --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Automation --- Machine theory --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Operational analysis --- Operational research --- Management science --- Research --- System theory --- Construction --- Industrial arts --- Curious devices --- Decision making --- Computer systems --- Manufactures. --- Manufacturing, Machines, Tools, Processes. --- Artificial Intelligence. --- Operations Research/Decision Theory. --- Manufactured goods --- Manufactured products --- Products --- Products, Manufactured --- Commercial products --- Manufacturing industries

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This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi’s quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated using four case studies relating to high-tech industries and advanced, non-conventional processes.

Operational research. Game theory --- Mathematical statistics --- Applied physical engineering --- Planning (firm) --- Plant and equipment --- Production management --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- fuzzy logic --- werktuigen --- fabrieken --- cybernetica --- automatisering --- besluitvorming --- mathematische modellen --- productie --- econometrie --- KI (kunstmatige intelligentie) --- operationeel onderzoek --- machines --- ingenieurswetenschappen --- robots

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This book presents the proceedings of the 3rd International Conference on the Industry 4.0 Model for Advanced Manufacturing (AMP 2018), held in Belgrade, Serbia, on 5–7 June 2018, the latest in a series of high-level conferences that brings together experts from academia and industry to exchange knowledge, ideas, experiences, research findings, and information in the field of manufacturing. The book addresses a wide range of topics, including, for example, design of smart and intelligent products, developments in CAD/CAM technologies, rapid prototyping and reverse engineering, multistage manufacturing processes, manufacturing automation in the Industry 4.0 model, cloud-based products, and cyber-physical and reconfigurable manufacturing systems. By providing updates on key issues and recent advances in manufacturing engineering and technologies, it aids the transfer of vital knowledge to the next generation of academics and practitioners. It appeals to anyone working or conducting research in this rapidly evolving field.

Machine elements --- Applied physical engineering --- Plant and equipment --- Production management --- Information systems --- fabrieken --- cloud computing --- productie --- gegevensanalyse --- machines --- ingenieurswetenschappen