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.
| 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 |
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.
Business Optimization Using Mathematical Programming features in the following genres: Operational research, Management decision making, Optimization
Business Optimization Using Mathematical Programming is available in Paperback
Business Optimization Using Mathematical Programming was written by Josef Kallrath and published by Springer Nature Switzerland AG
Business Optimization Using Mathematical Programming has 629 pages
Yes it is part of International Series in Operations Research & Management Science series
£80.99