Modeling Random Processes for Engineers and Managers

James J. Solberg

ISBN 10: 0470322551 / ISBN 13: 9780470322550

Published by John Wiley and Sons Ltd, 2008

About this Item

2008. 1st Edition. Hardcover. * By reducing mathematical detail and focusing on real-world applications, this book provides engineers with an easy-to-understand overview of stochastic modeling. * An entire chapter is included on how to set up the problem, and then another complete chapter presents examples of applications before doing any math. Num Pages: 320 pages, Illustrations. BIC Classification: PBWL; TBJ. Category: (P) Professional & Vocational. Dimension: 259 x 211 x 16. Weight in Grams: 686. . . . . . Seller Inventory # V9780470322550

Bibliographic Details

Title: Modeling Random Processes for Engineers and ...

Publisher: John Wiley and Sons Ltd

Publication Date: 2008

Binding: Hardcover

Condition: New

Edition: 1st Edition

About this title

Synopsis:

By reducing mathematical detail and focusing on real-world applications, this book provides engineers with an easy-to-understand overview of stochastic modeling. An entire chapter is included on how to set up the problem, and then another complete chapter presents examples of applications before doing any math. A previously unpublished computational method for solving equations related to Markov processes is added. The book shows how to add costs or revenues to the basic probability structures without much additional effort. In addition, numerous examples are included that show how the theory can be used. Engineers will also find explanations on how to formulate word problems into the models that the math worked on.

About the Author:

Dr. James J Solberg is the Ransburg Professor of Manufacturing and Industrial Engineering and Director of the Purdue University Center for Collaborative Manufacturing (National Science Foundation Engineering Research Center). Dr. Solberg is the U.S. Regional Coordinator for the International Joint Research Committee on Metamorphic Material Handling Systems is a member of the Executive Committee of the Material Handling Engineering Division of ASME, the chair of the Technical Committee on Material Transport Systems. He also currently serves on the Editorial Board, International Journal of Production Economics. His research interests include manufacturing systems, stochastic models, and queuing networks.