Production Planning by Mixed Integer Programming

Front Cover
Springer Science & Business Media, Sep 23, 2006 - Business & Economics - 500 pages

This textbook provides a comprehensive modeling, reformulation and optimization approach for solving production planning and supply chain planning problems, covering topics from a basic introduction to planning systems, mixed integer programming (MIP) models and algorithms through the advanced description of mathematical results in polyhedral combinatorics required to solve these problems.

Based on twenty years worth of research in which the authors have played a significant role, the book addresses real life industrial production planning problems (involving complex production structures with multiple production stages) using MIP modeling and reformulation approach.

The book provides an introduction to MIP modeling and to planning systems, a unique collection of reformulation results, and an easy to use problem-solving library. This approach is demonstrated through a series of real life case studies, exercises and detailed illustrations.

Review by Jakub Marecek (Computer Journal) The emphasis put on mixed integer rounding and mixing sets, heuristics in-built in general purpose integer programming solvers, as well as on decompositions and heuristics using integer programming should be praised... There is no doubt that this volume offers the present best introduction to integer programming formulations of lotsizing problems, encountered in production planning. (2007)

 

Contents

Introduction
3
Production Planning Models and Systems 39
38
Mixed Integer Programming Algorithms
77
Classification and Reformulation 115
114
Reformulations in Practice
155
Basic Polyhedral Combinatorics for Production Planning
182
SingleItem Uncapacitated LotSizing
207
10
225
9
272
Backlogging and StartUps
303
Exercises
331
MultiItem SingleLevel Problems 369
367
MultiLevel LotSizing Problems
395
Test Problems
421
References 483
482
Index
493

Basic MIP and Fixed Cost Flow Models
235

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