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Business Optimization Using Mathematical Programming An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages
Author
Title
Business Optimization Using Mathematical Programming [electronic resource] : An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages / by Josef Kallrath.
ISBN
9783030732370
Edition
2nd ed. 2021.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2021.
Physical Description
1 online resource (XXXIV, 629 p.) 74 illus., 36 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
September 08, 2021
Series
International Series in Operations Research & Management Science, 307
Contents
Optimization: Using Models, Validating Models, Solutions, Answers
From the Problem to its Mathematical Formulation
Mathematical Solution Techniques
Problems Solvable Using Linear Programming
How Optimization is Used in Practice: Case Studies in Linear Programming
Modeling Structures Using Mixed Integer Programming
Types of Mixed Integer Linear Programming Problems
Case Studies and Problem Formulations
User Control of the Optimization Process and Improving Efficiency
How Optimization is Used in Practice: Case Studies in Integer Programming
Beyond LP and MILP Problems
Mathematical Solution Techniques - The Nonlinear World
Global Optimization in Practice
Polylithic Modeling and Solution Approaches
Cutting & Packing beyond and within Mathematical Programming
The Impact and Implications of Optimization
Concluding Remarks and Outlook.
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