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Business Optimization Using Mathematical Programming

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Business Optimization Using Mathematical Programming Synopsis

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 This Edition

ISBN: 9783030732394
Publication date: 2nd September 2022
Author: Josef Kallrath
Publisher: Springer Nature Switzerland AG
Format: Paperback
Pagination: 629 pages
Series: International Series in Operations Research & Management Science
Genres: Operational research
Management decision making
Optimization