This book ‘Operations Research: Theory and Practice’ provides various concepts, theoretical and practical knowledge and develops the techno-managerial skills in the field of engineering. All the angles and approaches of operations applicable to both industrial and institutional needs are presented. It also provides an insight into the historical development of Operations Research. Examples and problems from usual situations that occur in industries are presented wherever necessary. Please note: Taylor & Francis does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka.
Practical and applications-oriented, this text explains effective procedures for performing mathematical tasks that arise in many fields, including operations research, engineering, systems sciences, statistics, and economics.
... H. M. Stationery Office, London, 1948. Operational Analysis in Relation to Administration of Government-Sponsored Research, J. R. Loofbourow, Science, 106, No. 2745, 113–117. 22. 23. 24. 25. Science and Statecraft, Marshall H. Stone,
Audience: Anyone concerned with the science, techniques and ideas of how decisions are made."--BOOK JACKET.
This seventh edition continues to build on the strength of the first six editions, providing balanced coverage of the theory, applications, and computations of operations research.
Tutorials in Operations Research: State-of-the-art Decision-making Tools in the Information-intensive Age
This is the first book to offer a complete spectrum of the role that operations research has played and can play in the improvement of North American freight railroads.
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.
The nature of operations research; Linear programming; Network analysis; Advanced topics in linear programming; Probability review; Random processes; Queueing models; Inventory models; Simulation; Dynamic programming; Nonlinear programming.
Designed for data scientists, analytics and operations research practitioners, and graduate-level students interested in learning optimization modeling with applied use cases, this book provides the skills to model and solve OR problems ...
The problem. The model. Inventory models. Allocation models. Waiting-time models. Replacement models. Competitive models. Testing, control and implementation. Administration of operations research. Index.