Business Optimization Using Mathematical Programming : An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages /

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...

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Bibliographic Details
Main Author:	Kallrath, Josef (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	2nd ed. 2021.
Series:	International Series in Operations Research & Management Science, 307
Subjects:	Operations research. Decision making. Management science. Mathematical optimization. Operations Research/Decision Theory. Operations Research, Management Science. Continuous Optimization. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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 and Packing beyond and within Mathematical Programming
The Impact and Implications of Optimization
Concluding Remarks and Outlook.