A. Ravi Ravindran
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/MSBridges theory and practice Covers all topics relevant to OR/MS Offers a quick reference guide for students, researchers and practitionersContains unified and up-to-date coverage designed and edited with non-experts in mindDiscusses software availability for all OR/MS techniquesIncludes contributions from a mix of domestic and international expertsThe 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.
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.
A comprehensive yet concise resource, Operations Research and Management Science Handbook provides an overview of operations research methods and applications. Drawing on a mix of international authors, the handbook explores the latest topics in OR/MS and examines recent developments in the field. The book caters to a diverse audience; anyone who uses analytical techniques in decision making will need this book. Of the many books available on this subject, most are not broad enough, not precise enough, or accessible enough. This book gives students, researchers, and practitioners a single source guide to all of the operations research techniques in an accessible format.
"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
Offers an overview of operations research methods and applications. This book is suitable for those who use analytical techniques in decision making.
Über den Autor
Pennsylvania State University, University Park, USA
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.
Klappentext
Offers an overview of operations research methods and applications. This book is suitable for those who use analytical techniques in decision making.
