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The book covers the standard models and techniques used in decision making in organizations. The main emphasis of the book is on modeling business-related scenarios and the generation of decision alternatives. Fully solved examples from many areas are used to illustrate the main concepts without getting bogged down in technical details. The book presents an approach to operations research that is heavily based on modeling and makes extensive use of sensitivity analyses. It is a result of many years of combined teaching experience of the authors. The second edition adds new material on multicriteria optimization, postman problems, Lagrangean relaxation, cutting planes, machine scheduling, and Markov chains. Support material is found on a free website and includes some algorithms, additional fully solved problems and slides for instructors.

Economics, Mathematical. --- Operations research -- Mathematical models. --- Operations research. --- Management --- Business & Economics --- Management Theory --- Business. --- Decision making. --- Management science. --- Engineering economics. --- Engineering economy. --- Business and Management. --- Operation Research/Decision Theory. --- Operations Research, Management Science. --- Engineering Economics, Organization, Logistics, Marketing. --- Economy, Engineering --- Engineering economics --- Industrial engineering --- Quantitative business analysis --- Problem solving --- Operations research --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Operational analysis --- Operational research --- Management science --- Research --- System theory --- Trade --- Economics --- Commerce --- Industrial management --- Decision making --- Operations Research/Decision Theory. --- Science économique. --- Affaires. --- Mathematical models.

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In honor of the work of Professor Shunji Osaki, Stochastic Reliability and Maintenance Modeling provides a comprehensive study of the legacy of and ongoing research in stochastic reliability and maintenance modeling. Including associated application areas such as dependable computing, performance evaluation, software engineering, communication engineering, distinguished researchers review and build on the contributions over the last four decades by Professor Shunji Osaki. Fundamental yet significant research results are presented and discussed clearly alongside new ideas and topics on stochastic reliability and maintenance modeling to inspire future research. Across 15 chapters readers gain the knowledge and understanding to apply reliability and maintenance theory to computer and communication systems. Stochastic Reliability and Maintenance Modeling is ideal for graduate students and researchers in reliability engineering, and workers, managers and engineers engaged in computer, maintenance and management works.

Operations research -- Mathematical models -- Congresses. --- Reliability (Engineering) -- Mathematical models -- Congresses. --- Stochastic models -- Congresses. --- Engineering & Applied Sciences --- Chemical & Materials Engineering --- Mechanical Engineering --- Technology - General --- Materials Science --- Industrial & Management Engineering --- Stochastic analysis. --- Osaki, Shunji. --- Analysis, Stochastic --- Osaki, S. --- Ozaki, Shunji --- Engineering. --- Mathematical statistics. --- Statistics. --- Quality control. --- Reliability. --- Industrial safety. --- Quality Control, Reliability, Safety and Risk. --- Probability and Statistics in Computer Science. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Mathematical analysis --- Stochastic processes --- System safety. --- Computer science. --- Informatics --- Science --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Systems engineering --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Prevention --- Statistics . --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Standardization --- Quality assurance --- Quality of products --- Maintainability (Engineering) --- Stochastic processes. --- Statistical methods. --- Mathematical models.