We consider scheduling problems for shops in which a job set is manufactured repetitively. Jobs are scheduled to minimize the cycle time of the job set, which is equivalent to maximizing the throughput rate. We characterize the complexity of the scheduling problem for several types of job shops. Pol
The complexity of two group scheduling problems
β Scribed by Jacek Blazewicz; Mikhail Y. Kovalyov
- Publisher
- Springer US
- Year
- 2002
- Tongue
- English
- Weight
- 94 KB
- Volume
- 5
- Category
- Article
- ISSN
- 1094-6136
- DOI
- 10.1002/jos.118
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β¦ Synopsis
The problems of scheduling groups of jobs under the group technology assumption are studied. The two remaining open questions posed in the literature a decade ago about the computational complexity of these problems (J. Oper. Res. Soc., 1992; 43:395 -406), are answered. The parallel machine problem to minimize the total job completion time is proved to be NP-hard in the strong sense, even if group set-up times are equal to zero. A dynamic programming algorithm is presented to solve this problem, which is polynomial if the number of machines is ΓΏxed. The two-machine open-shop problem to minimize the makespan is proved to be NP-hard in the ordinary sense, even if there are zero group set-up times and equal job processing times on both machines. It is shown that the latter problem under the condition that any group can be split into batches does not reduce to the problem where the splittings are not allowed, i.e. the group technology assumption is satisΓΏed.
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