International Series in Operations Research & Management Science

Business Optimization Using Mathematical Programming

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

Authors: Kallrath, Josef

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  • 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
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eBook 106,99 €
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  • ISBN 978-3-030-73237-0
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Hardcover 135,19 €
price for Spain (gross)
  • ISBN 978-3-030-73236-3
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  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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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).

Table of contents (17 chapters)

Table of contents (17 chapters)

Buy this book

eBook 106,99 €
price for Spain (gross)
  • ISBN 978-3-030-73237-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 135,19 €
price for Spain (gross)
  • ISBN 978-3-030-73236-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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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
XXXIV, 629
Number of Illustrations
38 b/w illustrations, 36 illustrations in colour
Additional Information
Previously published under the imprint Palgrave
Topics