A better heuristic for preemptive parallel machine scheduling with batch setup times
SIAM Journal on Computing
Preemptive scheduling with job-dependent setup times
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
`` Strong '' NP-Completeness Results: Motivation, Examples, and Implications
Journal of the ACM (JACM)
Parallel machine scheduling with splitting jobs
Discrete Applied Mathematics
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Machine scheduling with job class setup and delivery considerations
Computers and Operations Research
Selfish Scheduling with Setup Times
WINE '09 Proceedings of the 5th International Workshop on Internet and Network Economics
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This paper is concerned with scheduling independent jobs on m parallel machines in such a way that the makespan is minimized. Each job j is allowed to split arbitrarily into several parts, which can be individually processed on any machine at any time. However, a setup for uninterrupted sj time units is required before any split part of job j can be processed on any machine. The problem is strongly NP-hard if the number m of machines is variable and weakly NP-hard otherwise. We give a polynomial-time $$\frac{5}{3}$$-approximation algorithm for the former case and a fully polynomial-time approximation scheme for the latter.