Operations Research and Management Science Handbook

Zusatztext "This handbook provides a comprehensive overview of Operations Research and Management Science (OR/MS) models! methods! and applications in a single volume . . . It is an ideal reference book for OR/MS practitioners in business! industry! government! and academia. It can also serve as a supplemental text in undergraduate and graduate OR/MS courses at the university level." - Paulo Mbunga! in Zentralblatt Math! 2009 Informationen zum Autor A. Ravi Ravindran Klappentext Operations Research (OR) began as an interdisciplinary activity to solve complex military problems during World War II. Utilizing principles from mathematics, engineering, business, computer science, economics, and statistics, OR has developed into a full fledged academic discipline with practical application in business, industry, government and military. Currently regarded as a body of established mathematical models and methods essential to solving complicated management issues, OR provides quantitative analysis of problems from which managers can make objective decisions. Operations Research and Management Science (OR/MS) methodologies continue to flourish in numerous decision making fields. Featuring a mix of international authors, Operations Research and Management Science Handbook combines OR/MS models, methods, and applications into one comprehensive, yet concise volume. The first resource to reach for when confronting OR/MS difficulties, this text - Provides a single source guide in OR/MS Bridges theory and practice Covers all topics relevant to OR/MS Offers a quick reference guide for students, researchers and practitioners Contains unified and up-to-date coverage designed and edited with non-experts in mind Discusses software availability for all OR/MS techniques Includes contributions from a mix of domestic and international experts The 26 chapters in the handbook are divided into two parts. Part I contains 14 chapters that cover the fundamental OR/MS models and methods. Each chapter gives an overview of a particular OR/MS model, its solution methods and illustrates successful applications. Part II of the handbook contains 11 chapters discussing the OR/MS applications in specific areas. They include airlines, e-commerce, energy systems, finance, military, production systems, project management, quality control, reliability, supply chain management and water resources. Part II ends with a chapter on the future of OR/MS applications. Zusammenfassung Offers an overview of operations research methods and applications. This book is suitable for those who use analytical techniques in decision making. Inhaltsverzeichnis History and Definition of Operations Research. Linear Programming. Nonlinear Programming. Integer Programming. Network Optimization Models. Multiple Criteria Decision Making. Dynamic Programming. Decision Analysis. Graph Theory. Project Management. Stochastic Processes and Markov Chains. Inventory Control. Production Planning, Scheduling, and Sequencing. Queuing Models. Reliability. Quality Control. Stochastic Programming. Simulation. Game Theory. Large Scale Optimization. Heuristic Methods....

Auteur

A. Ravi Ravindran

Texte du rabat

Operations Research (OR) began as an interdisciplinary activity to solve complex military problems during World War II. Utilizing principles from mathematics, engineering, business, computer science, economics, and statistics, OR has developed into a full fledged academic discipline with practical application in business, industry, government and military. Currently regarded as a body of established mathematical models and methods essential to solving complicated management issues, OR provides quantitative analysis of problems from which managers can make objective decisions. Operations Research and Management Science (OR/MS) methodologies continue to flourish in numerous decision making fields. Featuring a mix of international authors, Operations Research and Management Science Handbook combines OR/MS models, methods, and applications into one comprehensive, yet concise volume. The first resource to reach for when confronting OR/MS difficulties, this text - Provides a single source guide in OR/MS Bridges theory and practice Covers all topics relevant to OR/MS Offers a quick reference guide for students, researchers and practitioners Contains unified and up-to-date coverage designed and edited with non-experts in mind Discusses software availability for all OR/MS techniques Includes contributions from a mix of domestic and international experts The 26 chapters in the handbook are divided into two parts. Part I contains 14 chapters that cover the fundamental OR/MS models and methods. Each chapter gives an overview of a particular OR/MS model, its solution methods and illustrates successful applications. Part II of the handbook contains 11 chapters discussing the OR/MS applications in specific areas. They include airlines, e-commerce, energy systems, finance, military, production systems, project management, quality control, reliability, supply chain management and water resources. Part II ends with a chapter on the future of OR/MS applications.

Résumé
Offers an overview of operations research methods and applications. This book is suitable for those who use analytical techniques in decision making.

Contenu
History and Definition of Operations Research. Linear Programming. Nonlinear Programming. Integer Programming. Network Optimization Models. Multiple Criteria Decision Making. Dynamic Programming. Decision Analysis. Graph Theory. Project Management. Stochastic Processes and Markov Chains. Inventory Control. Production Planning, Scheduling, and Sequencing. Queuing Models. Reliability. Quality Control. Stochastic Programming. Simulation. Game Theory. Large Scale Optimization. Heuristic Methods.