Applied Operational Research with SAS
Published on 13. December 2011
284 pages
978-1-4398-4131-0 (ISBN)
Description
Using a wide range of operational research (OR) optimization examples, Applied Operational Research with SAS demonstrates how the OR procedures in SAS work. The book is one of the first to extensively cover the application of SAS procedures to OR problems, such as single criterion optimization, project management decisions, printed circuit board as
Reviews / Votes
"... the authors do a good job of explaining how to apply SAS to a wide variety of problems in operations research and operations management, and the publisher makes copies of SAS code from the book available to purchasers of the book. For the reader who has a sufficient background in operations research, is comfortable with SAS macros, and is interested in learning, this book will provide a welcome and useful resource."-The American Statistician, August 2014
"This book successfully bridges the gap between theory and practice. Written primarily for SAS, the authors present a wide range of optimisation problems to demonstrate how the SAS/OR (R) procedures work. The text is well written, easy to follow, and will appeal both to those who have an interest only in concepts and to those merely interested in solving practical problems."
-Carl M. O'Brien, International Statistical Review (2013), 81
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Practitioners and students in operations research.
Illustrations
151 s/w Abbildungen, 55 s/w Tabellen
151 b/w images and 55 tables
File size
4,23 MB
ISBN-13
978-1-4398-4131-0 (9781439841310)
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
Ali Emrouznejad | William Ho
Applied Operational Research with SAS
Book
06/2020
1st Edition
Chapman & Hall/CRC
€73.70
Shipment within 15-20 days
Ali Emrouznejad | William Ho
Applied Operational Research with SAS
Book
12/2011
1st Edition
Chapman & Hall/CRC
€130.11
Shipment within 15-20 days
Persons
Ali Emrouznejad is a reader in the Operations & Information Management Group at Aston Business School. Dr. Emrouznejad is a senior editor and one of the founding members of the Data Envelopment Analysis Journal and an associate editor of the IMA Journal of Management Mathematics. He is also co-founder of Performance Improvement Management Software (PIM-DEA) and maintains a website for DEA users at www.deazone.com He earned a Ph.D. in operational research and systems from Warwick Business School. His research interests include performance measurement and management, efficiency and productivity analysis, and data mining.
William Ho is the BAM course director and a senior lecturer in the Operations & Information Management Group at Aston Business School. Dr. Ho is an editorial board member of the International Journal of Advanced Manufacturing Technology and an associate editor of OR Insights. He earned a Ph.D. in operations research from the Hong Kong Polytechnic University. His research interests include supply chain management, transportation and logistics management, production and operations management, and operations research.
William Ho is the BAM course director and a senior lecturer in the Operations & Information Management Group at Aston Business School. Dr. Ho is an editorial board member of the International Journal of Advanced Manufacturing Technology and an associate editor of OR Insights. He earned a Ph.D. in operations research from the Hong Kong Polytechnic University. His research interests include supply chain management, transportation and logistics management, production and operations management, and operations research.
Content
Operational Research, Algorithms, and Methods. Transportation Models. Network Models. Project Scheduling. Layout Decision. Traveling Salesman Problem. Printed Circuit Board Production Planning. Multiple-Criteria Decision Making. Decision Making and Efficiency Measurement. Appendices. References. Index.
