Buch, Englisch, 432 Seiten, Format (B × H): 178 mm x 257 mm, Gewicht: 907 g
Buch, Englisch, 432 Seiten, Format (B × H): 178 mm x 257 mm, Gewicht: 907 g
ISBN: 978-0-367-49324-0
Verlag: CRC Press
This book is designed to give the reader a sense of the challenge of analyzing a given situation and formulating a model for it while explaining the assumptions and inner structure of the methods discussed as fully as possible. It includes real-world examples and applications making the book accessible to a broader readership.
Features
- Each chapter begins with the Learning Outcomes (LO) section, which highlights the critical points of that chapter
- All learning outcomes, solved examples and questions are mapped to six Bloom Taxonomy levels (BT Level)
- Book offers fundamental concepts of optimization without becoming too complicated
- A wide range of solved examples are presented in each section after the theoretical discussion to clarify the concept of that section
- A separate chapter on the application of spreadsheets to solve different optimization techniques
- At the end of each chapter, a summary reinforces key ideas and helps readers recall the concepts discussed
The wide and emerging uses of optimization techniques make it essential for students and professionals. Optimization techniques have been applied in numerous fields to deal with different practical problems. This book serves as a textbook for UG and PG students of science, engineering, and management programs. It will be equally useful for Professionals, Consultants, and Managers.
Zielgruppe
Postgraduate, Professional, Undergraduate Advanced, and Undergraduate Core
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Operations Research
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik Mathematik Mathematik Allgemein Zahlensysteme
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
Weitere Infos & Material
Contents
Preface ……………………………………………………………………………….…………. xi
Acknowledgements ………………………………………………………………………………. xiii
Authors ……………………………………………………………………………………………. xv
1. Introduction to Optimization Techniques…………………………………………….……. 1
2. Linear Programming …………………………………………………………………….……13
3. Transportation Problems and Assignment Problem …………………….……………… 45
4. Network Models …………………………………………………………………….…101
5. Sequencing ………………………………………………………………………………………. 153
6. Replacement Models ……………………………………………………………………….…. 193
7. Game Theory …………………………………………………………………………….………. 219
8. Queuing Theory ……………………………………………………………………………….…. 247
9. Dynamic and Integer Programming …………………………………………………….….…269
10. Goal Programming and Decision Making ……………………………………….……… 307
11. Optimization Modelling with an Open Source Tool (Excel) ……………….……351
MCQ ………………………………………………………………………….…………….………. 401
Bibliography ……………………………………………………………………………………………. 411
Index ……………………………………………………………………………………………………. 413