Preemptive Scheduling of Jobs with a Learning Effect on Two Parallel Machines
Marcin Żurowski ()
Additional contact information
Marcin Żurowski: Adam Mickiewicz University in Poznań
A chapter in Operations Research Proceedings 2017, 2018, pp 587-592 from Springer
Abstract:
Abstract We consider a scheduling problem with a learning effect, where independent jobs are scheduled on two parallel identical machines. Jobs are preemptable but only a restricted preemption of a single job is allowed. The optimality criterion of a schedule is the maximum completion time. A few properties of the problem are presented and an exact algorithm solving this problem is proposed.
Keywords: Scheduling; Parallel identical machines; Learning effect; Job preemption; Maximum completion time (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-89920-6_78
Ordering information: This item can be ordered from
http://www.springer.com/9783319899206
DOI: 10.1007/978-3-319-89920-6_78
Access Statistics for this chapter
More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().