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Assembly-line balancing. --- Uncertainty (Information theory) --- Balancing of assembly-lines --- Line balancing (Assembly-lines) --- Measure of uncertainty (Information theory) --- Shannon's measure of uncertainty --- System uncertainty --- Information measurement --- Probabilities --- Questions and answers

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This book was established after the 6th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.

model predictive control --- bulbous bow --- improvement differential evolution algorithm --- evolutionary multi-objective optimization --- location routing problem --- flexible job shop scheduling problem --- basic differential evolution algorithm --- metric measure spaces --- NEAT --- genetic algorithm --- multiobjective optimization --- improved differential evolution algorithm --- performance indicator --- rubber --- averaged Hausdorff distance --- mixture experiments --- U-shaped assembly line balancing --- Genetic Programming --- Local Search --- driving events --- surrogate-based optimization --- single component constraints --- crop planning --- Pareto front --- numerical simulations --- shape morphing --- genetic programming --- economic crops --- local search and jump search --- model order reduction --- optimal solutions --- EvoSpace --- risky driving --- intelligent transportation systems --- optimal control --- IV-optimality criterion --- Bloat --- decision space diversity --- modify differential evolution algorithm --- power means --- driving scoring functions --- open-source framework --- evolutionary computation --- differential evolution algorithm --- vehicle routing problem --- multi-objective optimization

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Although the design and management of manufacturing systems have been explored in the literature for many years now, they still remain topical problems in the current scientific research. The changing market trends, globalization, the constant pressure to reduce production costs, and technical and technological progress make it necessary to search for new manufacturing methods and ways of organizing them, and to modify manufacturing system design paradigms. This book presents current research in different areas connected with the design and management of manufacturing systems and covers such subject areas as: methods supporting the design of manufacturing systems, methods of improving maintenance processes in companies, the design and improvement of manufacturing processes, the control of production processes in modern manufacturing systems production methods and techniques used in modern manufacturing systems and environmental aspects of production and their impact on the design and management of manufacturing systems. The wide range of research findings reported in this book confirms that the design of manufacturing systems is a complex problem and that the achievement of goals set for modern manufacturing systems requires interdisciplinary knowledge and the simultaneous design of the product, process and system, as well as the knowledge of modern manufacturing and organizational methods and techniques.

efficiency --- production processes --- machinery --- production maintenance --- logistic regression --- production process capability --- product quality --- monitoring of production processes --- process variables --- production planning optimization --- closed-loop green supply chain --- government subsidy --- stackelberg game --- re-manufacturing --- polish manufacturing company --- additive manufacturing technology --- questionnaire survey --- empirical research --- semi-Markov model --- Markov model --- empirical data distribution --- readiness --- production machines --- 8 disciplines method --- custom cable assemblies --- defects --- functional test --- customer satisfaction --- hard computing approach --- p-median problem --- generalized cell formation --- assembly-line balancing --- multi-objective optimization --- simulated annealing --- multilayer network --- production process design --- unit and small-lot production design for manufacturability --- fuzzy logic --- eco-design --- end-of-life treatment --- recycling --- solar power plant --- wind power plant --- life cycle analysis --- advanced industrial engineering --- modelling and simulation --- factory of the future --- smart factory --- manufacturing systems --- production planning optimisation --- decision support --- additive manufacturing --- fused filament fabrication --- CFR-PEEK --- optimal process parameters --- manufacturing performance --- multiple response optimization --- reconfigurable manufacturing system --- Petri net --- deadlock --- siphon --- supervisory controller --- reengineering --- simulation --- productivity --- batch processors --- real-time control --- dispatching --- wafer fabrication --- semiconductor manufacturing --- system-wide performance --- robust scheduling --- predictive scheduling --- machine failure --- failure prediction --- constraint programming --- constraint satisfaction problem --- cost estimation --- decision support systems --- multicriteria optimization --- production planning --- project management --- layout --- 3D printing devices --- methods of optimizing the arrangement of workstations --- car tire production process --- rubber industry --- environmental impact --- Life Cycle Assessment --- entire product lifecycle --- decision-making process --- lean maintenance --- effectiveness --- decision trees --- rough set theory --- n/a