Business Optimization Using Mathematical Programming
eBook - ePub

Business Optimization Using Mathematical Programming

An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Business Optimization Using Mathematical Programming

An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages

About this book

This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world.  The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.


Information

Publisher
Springer
Year
2021
Print ISBN
9783030732363
Edition
2
eBook ISBN
9783030732370
Subtopic
Management

Table of contents

  1. Cover
  2. Front Matter
  3. 1. Optimization: Using Models, Validating Models, Solutions, Answers
  4. 2. From the Problem to its Mathematical Formulation
  5. 3. Mathematical Solution Techniques
  6. 4. Problems Solvable Using Linear Programming
  7. 5. How Optimization Is Used in Practice: Case Studies in Linear Programming
  8. 6. Modeling Structures Using Mixed Integer Programming
  9. 7. Types of Mixed Integer Linear Programming Problems
  10. 8. Case Studies and Problem Formulations
  11. 9. User Control of the Optimization Process and Improving Efficiency
  12. 10. How Optimization Is Used in Practice: Case Studies in Integer Programming
  13. 11. Beyond LP and MILP Problems ⊖
  14. 12. Mathematical Solution Techniques — The Nonlinear World
  15. 13. Global Optimization in Practice
  16. 14. Polylithic Modeling and Solution Approaches
  17. 15. Cutting and Packing Beyond and Within Mathematical Programming
  18. 16. The Impact and Implications of Optimization
  19. 17. Concluding Remarks and Outlook
  20. Back Matter

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Yes, you can access Business Optimization Using Mathematical Programming by Josef Kallrath in PDF and/or ePUB format, as well as other popular books in Business & Management. We have over 1.5 million books available in our catalogue for you to explore.