
Operations Research Methodologies
A. Ravi Ravindran(Editor)
CRC Press
1st Edition
Published on 23. October 2019
Book
Paperback/Softback
476 pages
978-0-367-38646-7 (ISBN)
Description
A single source guide to operations research (OR) techniques, this book covers emerging OR methodologies in a clear, concise, and unified manner. Building a bridge between theory and practice, it begins with coverage of fundamental models and methods such as linear, nonlinear, integer, and dynamic programming, networks, simulation, queuing, inventory, stochastic processes, and decision analysis. The book then explores emerging techniques including multiple criteria optimization, meta heuristics, robust optimization, and complexity and large scale networks. Each chapter gives an overview of a particular methodology, illustrates successful applications, and provides references to computer software availability.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Professional Practice & Development
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 27 mm
Weight
927 gr
ISBN-13
978-0-367-38646-7 (9780367386467)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

A. Ravi Ravindran
Operations Research Methodologies
E-Book
11/2008
1st Edition
CRC Press
€91.99
Available for download

A. Ravi Ravindran
Operations Research Methodologies
Book
11/2008
1st Edition
CRC Press
€237.70
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A. Ravi Ravindran
Operations Research Methodologies
E-Book
11/2008
CRC Press
€92.49
Available for download
Person
A. Ravi Ravindran
Content
Linear Programming. Nonlinear Programming. Integer Programming. Network Optimization. Multiple Criteria Decision Making. Decision Analysis. Dynamic Programming. Stochastic Processes. Queueing Theory. Inventory Control. Complexity and Large-Sale Networks. Simulation. Metaheuristics for Discrete Optimization Problems. Robust Optimization.