Business optimization using mathematical programming : an introduction with case studies and solutions in various algebraic modeling languages / Josef Kallrath.

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)
Format: eBook
Language:English
Published: Cham : Springer, [2021]
Edition:Second edition.
Series:International series in operations research & management science ; 307.
Subjects:
Online Access:Click for online access
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 & Packing beyond and within Mathematical Programming
  • The Impact and Implications of Optimization
  • Concluding Remarks and Outlook.