Overview
- Presents a comprehensive introduction into business optimization from a mathematical programming perspective
- Includes a large variety of case studies using linear and nonlinear programing, both continuous and mixed integer
- Provides examples and solutions in AMPL, GAMS, MOSEL and SAS/OR online
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 307)
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Table of contents (17 chapters)
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Front Matter
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Back Matter
Keywords
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.
Authors and Affiliations
About the author
Prof. Dr. Josef Kallrath has studied mathematics, physics and astronomy in Bonn, where he received his doctorate in 1989 with an astrophysical dissertation on the dynamics of colliding binary stellar winds. He is working in practice (BASF SE, Ludwigshafen; 1989-2019), freelances since 1998 as a scientific consultant and solves practical problems in industry with scientific computing and operations research techniques. His work focuses on mathematical optimization to support decision processes in chemical industry, paper industry, metal industry, energy industry, transport infrastructure and the modeling of physical systems. He has taught at the University of Heidelberg (1991-2001) and, since 1997, at the University of Florida in Gainesville/USA. Since 2002, he has headed the Mathematical Optimization Practice Group of the Gesellschaft für Operations Research (GOR).
Bibliographic Information
Book Title: Business Optimization Using Mathematical Programming
Book Subtitle: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages
Authors: Josef Kallrath
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-3-030-73237-0
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-73236-3Published: 01 September 2021
Softcover ISBN: 978-3-030-73239-4Published: 02 September 2022
eBook ISBN: 978-3-030-73237-0Published: 31 August 2021
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 2
Number of Pages: XXXIV, 629
Number of Illustrations: 38 b/w illustrations, 36 illustrations in colour
Additional Information: Previously published under the imprint Palgrave
Topics: Operations Research/Decision Theory, Operations Research, Management Science, Continuous Optimization