The book considers the lot-sizing and scheduling problem for flexible flow line production facilities. Flexible flow lines are flow lines with parallel machines on some or all production stages. They can be found in a vast number of industries. A three-phased solution approach is presented that solves the integrated lot-sizing and scheduling problem in a hierarchical manner. The approach is able to handle several important features relevant in industrial practice, such as back-orders and setup carry-over. The developed solution procedures solve practically sized problems in a relatively short amount of time. One of the procedures is based on a novel mixed integer programming (MIP) model, which employs integer variables instead of binary variables. This makes it possible to find (near-)optimal solutions using standard algorithms such as CPLEX. Another procedure uses two nested Genetic Algorithms. An application of the framework in the semiconductor industry is given.
| ISBN: | 9783540223252 |
| Publication date: | 18th August 2004 |
| Author: | Daniel Quadt |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 227 pages |
| Series: | Lecture Notes in Economics and Mathematical Systems |
| Genres: |
Management of specific areas Management decision making Operational research Organizational theory and behaviour |
The book considers the lot-sizing and scheduling problem for flexible flow line production facilities. Flexible flow lines are flow lines with parallel machines on some or all production stages. They can be found in a vast number of industries. A three-phased solution approach is presented that solves the integrated lot-sizing and scheduling problem in a hierarchical manner. The approach is able to handle several important features relevant in industrial practice, such as back-orders and setup carry-over. The developed solution procedures solve practically sized problems in a relatively short amount of time. One of the procedures is based on a novel mixed integer programming (MIP) model, which employs integer variables instead of binary variables. This makes it possible to find (near-)optimal solutions using standard algorithms such as CPLEX. Another procedure uses two nested Genetic Algorithms. An application of the framework in the semiconductor industry is given.
Lot-Sizing and Scheduling for Flexible Flow Lines features in the following genres: Management of specific areas, Management decision making, Operational research, Organizational theory and behaviour
Lot-Sizing and Scheduling for Flexible Flow Lines is available in Paperback
Lot-Sizing and Scheduling for Flexible Flow Lines was written by Daniel Quadt and published by Springer an imprint of Springer Berlin Heidelberg
Lot-Sizing and Scheduling for Flexible Flow Lines has 227 pages
Yes it is part of Lecture Notes in Economics and Mathematical Systems series