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Value analysis (Cost control) --- Government purchasing --- United States. --- Procurement.

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"Engineering & management solutions at work."

Industrial engineering --- Génie industriel --- Industrial engineering. --- Périodiques. --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Systems engineering --- Systems engineering. --- Engineering systems --- System engineering --- System analysis --- Design and construction --- Engineering sciences. Technology --- Business economics --- Business, Economy and Management --- Environmental Sciences --- Information Technology --- General and Others --- Occupational Hazards & Health --- Automation

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Business economics --- Economics --- Operations research --- Recherche opérationnelle --- Periodicals. --- Périodiques --- Génie industriel --- Operations research. --- #TS:WBIB --- Periodicals --- Business, Economy and Management --- Operations Research --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- MANAGEMENT -- 51.0 --- MATHEMATICAL PROGRAMMING -- 51.0 --- OPERATIONAL RESEARCH -- 51.0 --- STATISTICS -- 51.0 --- !TIJDSCHRIFTEN -- 65.012 --- COMBINATORIAL OPTIMIZATION -- 65.012 --- COMPUTER SCIENCES -- 65.012 --- MANAGEMENT -- 65.012 --- MATHEMATICAL PROGRAMMING -- 65.012 --- STATISTICS -- 65.012 --- COMPUTER SCIENCES -- 51.0 --- OPERATIONAL RESEARCH -- 65.012 --- Industrial engineering. --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Investigació operativa --- Investigació operativa.

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For over a decade, there has been an increasing interest in the use of supply chain methods to improve performance across the entire business enterprise. Numerous industries have recognized the importance of efficient supply chain integration, and, as a result, supply chain management has become a standard part of business practice. Simultaneously, research interest in supply chain management has been growing at an increasing rate. Along with the implementation of supply chain management in practice, we have witnessed an explosive growth of research. These new research developments have found their way into practice, resulting in experiments using these developments. This implementation and experimentation has naturally lead to new ideas, hence the practice-research-practice-research cycle continues. The Practice of Supply Chain Management: Where Theory and Application Converge is a must-have volume for users of supply chain management methods, supply chain management researchers, and students in supply chain management. The objective of The Practice of Supply Chain Management: Where Theory and Application Converge is to provide an overview of this important practice-research cycle. The focus of the book is on supply chain practice, but supply chain practice that has been heavily influenced by supply chain research. It is this synergy between research and practice that continues to simulate new directions for research. The Practice of Supply Chain Management: Where Theory and Application Converge is organized into three sections: Core Concepts and Practices; Emerging Supply Chain Practices; and Supply Chain in Action. The Practice of Supply Chain Management: Where Theory and Application Converge will provide the reader: · A set of tutorials on key supply chain methods and practices · A review of supply chain practices in multiple industries · A description of how innovative ideas and new research methodologies have been used in practice · An identification of the enablers of successful implementation of such ideas in practice · A report on the new insights and research directions that can be gained from observing these practices.

Physical distribution --- Business logistics. --- Production management. --- Engineering economics. --- Engineering economy. --- Operations research. --- Decision making. --- Industrial engineering. --- Production engineering. --- Business. --- Management science. --- Management. --- Operations Management. --- Engineering Economics, Organization, Logistics, Marketing. --- Operations Research/Decision Theory. --- Industrial and Production Engineering. --- Business and Management, general. --- Administration --- Industrial relations --- Organization --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Trade --- Economics --- Commerce --- Industrial management --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Operational analysis --- Operational research --- Management science --- Research --- System theory --- Economy, Engineering --- Engineering economics --- Manufacturing management --- Decision making --- Supply chain management --- Logistics --- Inventory control. Purchasing management --- LOGISTIQUE --- ORGANISATION

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The increasing complexity of manufacturing systems as well as the overall demands for flexible and fault-tolerant control of production processes stimulates (among many others) two key emerging technologies that are already making an important breakthrough in the field of intelligent manufacturing, control, and diagnostics. These two paradigms are: • the holonic approach based on the event-driven control strategy, usually aimed at modular control systems that are directly physically linked with the manufacturing hardware equipment, and • the multi-agent approach developed in the area of distributed information processing. The research communities working in both these fields are approaching the problem of intelligent manufacturing from different viewpoints and, until recently, to a certain extent, in an independent way. We can however observe quite a clear convergence of these fields in the last few years: the communities have started to cooperate, joining efforts to solve the painful problems involved in achieving effective industrial practice. We can see convergence in the terminology, standards and methods being applied.

Computer integrated manufacturing systems --- Expert systems (Computer science) --- Manufacturing processes --- Industrial & Management Engineering --- Mechanical Engineering --- Engineering & Applied Sciences --- Automation --- Computer science. --- Production management. --- Science. --- Artificial intelligence. --- Application software. --- Computer-aided engineering. --- Industrial engineering. --- Production engineering. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Science, general. --- Computer Appl. in Administrative Data Processing. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Industrial and Production Engineering. --- Operations Management. --- Information systems. --- Computer aided design. --- Artificial Intelligence. --- Science, Humanities and Social Sciences, multidisciplinary. --- Manufacturing management --- Industrial management --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- CAD (Computer-aided design) --- Computer-assisted design --- Computer-aided engineering --- Design --- 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 --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- CAE --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Data processing