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Operations Research Books

You are currently browsing 31–40 of 157 new and published books in the subject of Operations Research — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 4

  1. Value-Added Decision Making for Managers

    By Kenneth Chelst, Yavuz Burak Canbolat

    Developed from the authors’ longstanding course on decision and risk analysis, Value-Added Decision Making for Managers explores the important interaction between decisions and management action and clarifies the barriers to rational decision making. The authors analyze strengths and weaknesses of...

    Published October 5th 2011 by Chapman and Hall/CRC

  2. Practical Spreadsheet Risk Modeling for Management

    By Dale Lehman, Huybert Groenendaal, Greg Nolder

    Risk analytics is developing rapidly, and analysts in the field need material that is theoretically sound as well as practical and straightforward. A one-stop resource for quantitative risk analysis, Practical Spreadsheet Risk Modeling for Management dispenses with the use of complex mathematics,...

    Published September 8th 2011 by Chapman and Hall/CRC

  3. A First Course in Quality Engineering

    Integrating Statistical and Management Methods of Quality, Second Edition

    By K.S. Krishnamoorthi, V. Ram Krishnamoorthi

    Completely revised and updated, A First Course in Quality Engineering: Integrating Statistical and Management Methods of Quality, Second Edition contains virtually all the information an engineer needs to function as a quality engineer. The authors not only break things down very simply but also...

    Published August 29th 2011 by CRC Press

  4. Applied Reliability, Third Edition

    By Paul A. Tobias, David Trindade

    Since the publication of the second edition of Applied Reliability in 1995, the ready availability of inexpensive, powerful statistical software has changed the way statisticians and engineers look at and analyze all kinds of data. Problems in reliability that were once difficult and time consuming...

    Published August 26th 2011 by Chapman and Hall/CRC

  5. Knowledge Science

    Modeling the Knowledge Creation Process

    Edited by Yoshiteru Nakamori

    Knowledge science is an emerging discipline resulting from the demands of a knowledge-based economy and information revolution. Explaining how to improve our knowledge-based society, Knowledge Science: Modeling the Knowledge Creation Process addresses problems in collecting, synthesizing,...

    Published August 3rd 2011 by CRC Press

  6. Rough Multiple Objective Decision Making

    By Jiuping Xu, Zhimiao Tao

    Under intense scrutiny for the last few decades, Multiple Objective Decision Making (MODM) has been useful for dealing with the multiple-criteria decisions and planning problems associated with many important applications in fields including management science, engineering design, and...

    Published July 28th 2011 by Chapman and Hall/CRC

  7. Multiple Attribute Decision Making

    Methods and Applications

    By Gwo-Hshiung Tzeng, Jih-Jeng Huang

    Decision makers are often faced with several conflicting alternatives. How do they evaluate trade-offs when there are more than three criteria? To help people make optimal decisions, scholars in the discipline of multiple criteria decision making (MCDM) continue to develop new methods for...

    Published June 22nd 2011 by Chapman and Hall/CRC

  8. Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition

    By Bilal M. Ayyub, Richard H. McCuen

    In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but...

    Published April 26th 2011 by CRC Press

  9. Nonsmooth Mechanics and Convex Optimization

    By Yoshihiro Kanno

    "This book concerns matter that is intrinsically difficult: convex optimization, complementarity and duality, nonsmooth analysis, linear and nonlinear programming, etc. The author has skillfully introduced these and many more concepts, and woven them into a seamless whole by retaining an easy and...

    Published April 5th 2011 by CRC Press

  10. Statistical Process Control for Real-World Applications

    By William A. Levinson

    The normal or bell curve distribution is far more common in statistics textbooks than it is in real factories, where processes follow non-normal and often highly skewed distributions. Statistical Process Control for Real-World Applications shows how to handle non-normal applications scientifically...

    Published December 21st 2010 by CRC Press