International Series in Operations Research & Management Science
cover

Business Optimization Using Mathematical Programming

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

Authors: Kallrath, Josef

  • Presents a comprehensive introduction into business optimization from a mathematical programming perspective
  • Includes a large variety of case studies using linear programing, mixed integer linear programming and integer programming
  • Provides examples and solutions in AMPL, GAMS, MOSEL and SAS/OR online
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eBook $119.00
price for USA in USD
  • The eBook version of this title will be available soon
  • Due: August 10, 2021
  • ISBN 978-3-030-73237-0
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $159.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: July 13, 2021
  • ISBN 978-3-030-73236-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
About this Textbook

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.


About the authors

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).

Buy this book

eBook $119.00
price for USA in USD
  • The eBook version of this title will be available soon
  • Due: August 10, 2021
  • ISBN 978-3-030-73237-0
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $159.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: July 13, 2021
  • ISBN 978-3-030-73236-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
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Bibliographic Information

Bibliographic Information
Book Title
Business Optimization Using Mathematical Programming
Book Subtitle
An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages
Authors
Series Title
International Series in Operations Research & Management Science
Series Volume
307
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-73237-0
DOI
10.1007/978-3-030-73237-0
Hardcover ISBN
978-3-030-73236-3
Series ISSN
0884-8289
Edition Number
2
Number of Pages
X, 615
Number of Illustrations
37 b/w illustrations, 36 illustrations in colour
Additional Information
Previously published under the imprint Palgrave
Topics