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)
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!