Operations Research Methodologies

Author:   A. Ravi Ravindran
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367386467


Pages:   476
Publication Date:   23 October 2019
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Operations Research Methodologies


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Overview

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.

Full Product Details

Author:   A. Ravi Ravindran
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9780367386467


ISBN 10:   0367386461
Pages:   476
Publication Date:   23 October 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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.

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