Business optimization using mathematical programming : an introduction with case studies and solutions in various algebraic modeling languages / Josef Kallrath.
Kallrath, Josef, author.
2021
HD30.28 .K35 2021
Available Online

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Title Business optimization using mathematical programming : an introduction with case studies and solutions in various algebraic modeling languages / Josef Kallrath.
Author Kallrath, Josef, author.
Edition Second edition.
ISBN 9783030732370 (electronic bk.)
3030732371 (electronic bk.)
9783030732363
3030732363
DOI https://doi.org/10.1007/978-3-030-73237-0
Published Cham : Springer, [2021]
Copyright ©2021
Language English
Description 1 online resource : illustrations (some color)
Other Standard Identifiers 10.1007/978-3-030-73237-0 doi
Call Number HD30.28 .K35 2021
Dewey Decimal Classification 658.4/033
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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed September 8, 2021).
Series International series in operations research & management science ; 307.
Available in Other Form Business optimization using mathematical programming.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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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