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  An improved approximation algorithm for the two-machine open shop scheduling problem with family setup times
 
 
Title: An improved approximation algorithm for the two-machine open shop scheduling problem with family setup times
Author: Billaut, Jean-Charles
Gribkovskaia, Irina
Strusevich, Vitaly
Appeared in: IIE transactions
Paging: Volume 40 (2008) nr. 4 pages 478-493
Year: 2008-04
Contents: We consider the problem of scheduling families of jobs in a two-machine open shop so as to minimize the makespan. The jobs of each family can be partitioned into batches and a family setup time on each machine is required before the first job is processed, and when a machine switches from processing a job of some family to a job of another family. For this NP-hard problem the literature contains (5/4)-approximation algorithms that cannot be improved on using the class of group technology algorithms in which each family is kept as a single batch. We demonstrate that there is no advantage in splitting a family more than once. We present an algorithm that splits one family at most once on a machine and delivers a worst-case performance ratio of 6/5.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 10 found articles
 
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