Business Optimization Using Mathematical Programming - An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages (Paperback, 2nd ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	International Series in Operations Research & Management Science, 307
Release date:	September 2022
First published:	2021
Authors:	Josef Kallrath
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	629
Edition:	2nd ed. 2021
ISBN-13:	978-3-03-073239-4
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Optimization > General
LSN:	3-03-073239-8
Barcode:	9783030732394

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