Production Planning by Mixed Integer Programming

• Main Authors: Pochet, Yves (Author), Wolsey, Laurence A. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2006.
• Series: Springer Series in Operations Research and Financial Engineering,
• Subjects: Business.; Production management.; Operations research.; Decision making.; Software engineering.; Mathematical models.; Management science.; Industrial engineering.; Production engineering.; Business and Management.; Operations Management.; Mathematical Modeling and Industrial Mathematics.; Software Engineering/Programming and Operating Systems.; Operations Research, Management Science.; Industrial and Production Engineering.; Operation Research/Decision Theory.

This textbook provides a comprehensive modeling, reformulation and optimization approach for solving production planning and related supply chain planning problems, covering topics from a basic introduction to planning systems, mixed integer programming (MIP) models and algorithms through the advanc...

Table of Contents:

• Production Planning and MIP
• The Modeling and Optimization Approach
• Production Planning Models and Systems
• Mixed Integer Programming Algorithms
• Classification and Reformulation
• Reformulations in Practice
• Basic Polyhedral Combinatorics for Production Planning and MIP
• Mixed Integer Programming Algorithms and Decomposition Approaches
• Single-Item Uncapacitated Lot-Sizing
• Basic MIP and Fixed Cost Flow Models
• Single-Item Lot-Sizing
• Lot-Sizing with Capacities
• Backlogging and Start-Ups
• Single-Item Variants
• Multi-Item Lot-Sizing
• Multi-Item Single-Level Problems
• Multi-Level Lot-Sizing Problems
• Problem Solving
• Test Problems.