Introduction to Management Science 1e
ISBN-13: 9781844805952 / ISBN-10: 1844805956
Retaining the accessible application-driven approach for which An Introduction to Management Science is highly regarded, adapting author Mik Wisniewski has carefully reworked the existing US textbook to benefit students across the UK, Europe, Middle East and Africa.
2. An Introduction to Linear Programming
3. Linear Programming: Sensitivity Analysis and Interpretation of Solution
4. Linear Programming Applications
5. Linear Programming: The Simplex Method
6. Simplex-Based Sensitivity Analysis and Duality
7. Transportation, Assignment, and Transshipment Problems
8. Integer Linear Programming
9. Network Models
10. Project Scheduling: PERT/CPM
11. Inventory Models
12. Queuing Models
14. Decision Analysis
15. Multicriteria Decisions
17. Dynamic Programming
18. Markov Processes (On CD)
''This adaptation conveys information easier to my students by using local culture, places and units. These changes have been carefully made to make sure that readers can easily apply what they have learnt to real-life problems.I have no hesitation in recommending this book to other lecturers in the Arabic Gulf.'' Cesarettin Koc – DWC, Higher Colleges of Technology, United Arab Emirates
"This adaptation does well in making the material much more international, and maintains the easy-to-follow approach that made the original US text such a successful book" Julia Bennell, University of Southampton
"The newly incorporated material works well and helps to make this adaptation a better-written textbook for an international audience. As with the original, the strengths of the text lie in the significant array of methods covered, the easy to understand terminology, and the range of practice questions included." Dr David J. Newlands, IESEG School of Management.
"Based on my teaching experience, this textbook is excellent. The authors have done a marvellous job addressing all key topics in a very clear and coherent manner. The internationally diverse examples are a welcome addition, making it more friendly for my students; they no longer have to think about Management Science from a purely US perspective" Yuan Ju, University of York
David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati, USA.
Dennis J. Sweeney
Dr. Dennis J. Sweeney is Professor Emeritus of Quantitative Analysis and Founder of the Center for Productivity Improvement at the University of Cincinnati. He earned a BSBA degree from Drake University and his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow. Professor Sweeney has worked in the management science group at Procter & Gamble and has served as visiting professor at Duke University. Professor Sweeney also has served as Head of the Department of Quantitative Analysis and as Associate Dean of the College of Business Administration at the University of Cincinnati. Professor Sweeney has published more than 30 articles and monographs in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger, and Cincinnati Gas & Electric have funded his research, which has been published in Management Science, Operations Research, Mathematical Programming, Decision Sciences, and other journals. Professor Sweeney has coauthored ten leading texts in the areas of statistics, management science, linear programming, and production and operations management.
Thomas A. Williams
Dr. Thomas A. Williams is Professor Emeritus of Management Science in the College of Business at Rochester Institute of Technology (RIT). He earned his BS degree at Clarkson University. He completed his graduate work at Rensselaer Polytechnic Institute, where he received his MS and PhD degrees. Before joining the College of Business at RIT, Professor Williams served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed the undergraduate program in Information Systems and then served as its coordinator. At RIT, he was the first chairman of the Decision Sciences Department. He teaches courses in management science and statistics, as well as graduate courses in regression and decision analysis. Professor Williams is the coauthor of 11 leading textbooks in the areas of management science, statistics, production and operations management, and mathematics. He has been a consultant for numerous Fortune 500 companies and has worked on projects ranging from the use of data analysis to the development of large-scale regression models.
Mik Wisniewski is Senior Research Fellow in the Management Science department at Strathclyde Business School, Glasgow, Scotland. He is author of over a dozen texts on management science, quantitative business analysis and optimisation, including the established Quantitative Methods for Decision Makers (Pearson), and has many published articles in these areas. Mik also runs his own consulting company and clients including Shell, KPMG, PriceWaterhouseCoopers, numerous government agencies both in the UK and overseas, and a range of public sector organisations. He as worked extensively across Europe, the Middle East, Africa and Asia.