Name: Business Optimization Using Mathematical Programming: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages (en Inglés)
Price: 172.87 USD
Availability: InStock
Author: Kallrath, Josef
ISBN: 9783030732394

portada Business Optimization Using Mathematical Programming: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages (en Inglés)

Formato

Libro Físico

Autor

Josef Kallrath

Editorial

Springer

Idioma

Inglés

N° páginas

629

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 3.4 cm

Peso

0.92 kg.

ISBN13

9783030732394

N° edición

0002

Categorías

Técnicas de gestión empresarial
Investigación operativa
Matemáticas aplicadas

Business Optimization Using Mathematical Programming: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages (en Inglés)

Josef Kallrath (Autor) · Springer · Tapa Blanda

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$ 172.87

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Business Optimization Using Mathematical Programming: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages (en Inglés)"

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.