My Library

University LibraryCatalogue

     
Limit search to items available for borrowing or consultation
Result Page: Previous Next
Can't find that book? Try BONUS+
 
Look for full text

Search Discovery

Search CARM Centre Catalogue

Search Trove

Add record to RefWorks

Cover Art
E-RESOURCE
Author Quadt, Daniel.

Title Lot-Sizing and Scheduling for Flexible Flow Lines [electronic resource] / by Daniel Quadt.

Published Berlin, Heidelberg : Springer Berlin Heidelberg, 2004.

Copies

Location Call No. Status
 UniM INTERNET resource    AVAILABLE
Physical description 1 online resource (xviii, 227 pages 87 illustrations).
Series Lecture Notes in Economics and Mathematical Systems, 0075-8442 ; 546
Lecture notes in economics and mathematical systems ; 546.
Contents Introduction -- Lack of Solution Procedures in the Literature -- An Integrative Solution Approach -- Phase I: Bottleneck Planning -- Phase II: Schedule Roll-Out -- Phase III: Product-to-Slot Assignment -- An Illustrative Example -- An Application in the Semiconductor Industry -- Summary and Conclusions.
Summary 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.
Subject Economics.
Operations research.
Business planning.
Electronic books.
ISBN 9783642171017 (electronic bk.)
364217101X (electronic bk.)
9783540223252
3540223258
Standard Number 10.1007/978-3-642-17101-7