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The book examines the performance and optimization of systems where queueing and congestion are important constructs. Both finite and infinite queueing systems are examined. Many examples and case studies are utilized to indicate the breadth and depth of the queueing systems and their range of applicability. Blocking of these processes is very important and the book shows how to deal with this problem in an effective way and not only compute the performance measures of throughput, cycle times, and WIP but also to optimize the resources within these systems. The book is aimed at advanced undergraduate, graduate, and professionals and academics interested in network design, queueing performance models and their optimization. It assumes that the audience is fairly sophisticated in their mathematical understanding, although the explanations of the topics within the book are fairly detailed.

Queuing networks (Data transmission) --- Queueing networks (Data transmission) --- Data transmission systems --- Queuing theory --- Simulation methods --- Computer simulation. --- Traffic Engineering. --- Mathematical Modeling and Industrial Mathematics. --- Simulation and Modeling. --- Transportation Technology and Traffic Engineering. --- Engineering, Traffic --- Road traffic --- Street traffic --- Traffic, City --- Traffic control --- Traffic regulation --- Urban traffic --- Highway engineering --- Transportation engineering --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Model-integrated computing --- Mathematical models. --- Transportation engineering. --- Traffic engineering. --- Civil engineering --- Engineering --- Models, Mathematical

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This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using analytical models to design and control manufacturing systems and their operations entail critical stochastic performance analysis as well as integrated optimization models of these systems. Topics deal with the areas of facilities planning, transportation, and material handling systems, logistics and supply chain management, and integrated productivity and quality models covering: • Stochastic modeling and analysis of manufacturing systems • Design, analysis, and optimization of manufacturing systems • Facilities planning, transportation, and material handling systems analysis • Production planning, scheduling systems, management, and control • Analytical approaches to logistics and supply chain management • Integrated productivity and quality models, and their analysis • Literature surveys of issues relevant in manufacturing systems • Case studies of manufacturing system operations and analysis Today’s manufacturing system operations are becoming increasingly complex. Advanced knowledge of best practices for treating these problems is not always well known. The purpose of the book is to create a foundation for the development of stochastic models and their analysis in manufacturing system operations. Given the handbook nature of the volume, introducing basic principles, concepts, and algorithms for treating these problems and their solutions is the main intent of this handbook. Readers unfamiliar with these research areas will be able to find a research foundation for studying these problems and systems.

Manufacturing processes -- Mathematical models -- Handbooks, manuals, etc. --- Operations research. --- Stochastic models -- Handbooks, manuals, etc. --- Management --- Business & Economics --- Management Theory --- Production management --- Production control --- Manufacturing processes --- Stochastic analysis. --- Stochastic processes. --- Mathematical models. --- Random processes --- Analysis, Stochastic --- Business. --- Production management. --- Decision making. --- Management science. --- Business and Management. --- Operation Research/Decision Theory. --- Operations Research, Management Science. --- Operations Management. --- Probabilities --- Mathematical analysis --- Stochastic processes --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Manufacturing management --- Industrial management --- Quantitative business analysis --- Problem solving --- Operations research --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Decision making

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This book takes a modern view of the field of facilities planning and design, along with a unified body of relevant knowledge.nbsp; Motivating and illustrating mathematical models wherever possible, the book explores facilities planning, capstone design, and even simulation modelling. A design project incorporates the theoretical aspects of facilities planning and design. The book also covers decision-support methodology and computerized procedures. nbsp; For industrial engineers, facilities managers, and plant managers.