Title
Unrelated parallel machine scheduling with resource dependent processing times
Abstract
We consider unrelated parallel machine scheduling problems with the objective to minimize the schedule makespan. In addition to its machine-dependence, the processing time of any job is also dependent on the usage of a scarce renewable resource. An amount of k units of that resource, e.g. workers, can be distributed over the jobs in process, and the more of that resource is allocated to a job, the smaller its processing time. The model generalizes the classical unrelated machine scheduling problem, adding a resource-time tradeoff. It is also a natural variant of a generalized assignment problem studied previously by Shmoys and Tardos, the difference lying in the fact the resource is renewable and not a total budget constraint. We use a two-phased LP rounding technique to assign resources to jobs and jobs to machines. Combined with Graham's list scheduling, we thus prove the existence of a $(4+2\sqrt{2})$-approximation algorithm. We show how our approach can be adapted to scheduling problems with dedicated machines as well, with an improvement of the performance bound to $(3+2\sqrt{2})$. Moreover, we derive a lower bound of 2 for the employed LP-based analysis, and we prove a (3/2)-inapproximability result.
Year
DOI
Venue
2005
10.1007/11496915_14
Behavioural Psychotherapy
Keywords
Field
DocType
processing time,resource dependent processing time,list scheduling,classical unrelated machine scheduling,generalized assignment problem,inapproximability result,scarce renewable resource,unrelated parallel machine scheduling,approximation algorithm,dedicated machine,lp-based analysis,publication,economics,renewable resources,scheduling problem,lower bound
Approximation algorithm,Mathematical optimization,Job shop scheduling,Fair-share scheduling,Computer science,Scheduling (computing),Upper and lower bounds,Generalized assignment problem,Combinatorial optimization,Assignment problem
Conference
Volume
ISSN
ISBN
3509
0302-9743
3-540-26199-0
Citations 
PageRank 
References 
9
1.31
8
Authors
3
Name
Order
Citations
PageRank
Alexander Grigoriev120324.23
MAXIM SVIRIDENKO22072140.65
Marc Uetz345643.99