We consider the problem of scheduling independent jobs on identical parallel machines to minimize the total completion time. Each job has a set of eligible machines and a given release date, and all jobs have equal processing times. For the problem with a fixed number of machines, we determine its computational complexity by providing a polynomial time dynamic programming algorithm. We also present two polynomial time approximation algorithms along with their worst case analyses. Experiments with randomly generated instances show that the proposed algorithms consistently generate schedules that are very close to optimal.
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This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government [grant number NRF-2017R1A2B4011486].
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Hong, J., Lee, K. & Pinedo, M.L. Scheduling equal length jobs with eligibility restrictions. Ann Oper Res 285, 295–314 (2020). https://doi.org/10.1007/s10479-019-03172-8
- Parallel machine scheduling
- Release date
- Equal processing time jobs
- Total completion time