In this paper, we study the problem of scheduling n independent jobs non-preemptively on m unrelated parallel machines. Each job j has a processing time and a deadline, the time at which the job must be completed. On each machine, jobs may be grouped to form batches containing continuously scheduled
Batch scheduling with deadlines on parallel machines: An NP-hard case
โ Scribed by Mikhail Y. Kovalyov; Yakov M. Shafransky
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 529 KB
- Volume
- 64
- Category
- Article
- ISSN
- 0020-0190
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โฆ Synopsis
The problem of scheduling groups of jobs on unrelated parallel machines in batches subject to group deadlines was studied by Brucker et al. ( 1997) and Kovalyov and Shafransky ( 1994). A classification of computational complexities of special cases was provided only for the situation when all groups have equal deadlines. We prove that the problem is strongly NP-hard for the case of different deadlines, identical machines, unit processing times and unit set-up times, and equal numbers of jobs in each group. The problem where machine deadlines are given instead of job deadlines is proved to be strongly NP-complete. @ 1997 Elsevier Science B.V.
๐ SIMILAR VOLUMES
An important special case of the problem studied in arises when there are equal set-up times and equal job processing times. Computational complexity of this case was indicated to be open, however. I prove its NP-hardness.