On stochastic machine scheduling with general distributional assumptions
β Scribed by Wei Li; Kevin D. Glazebrook
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 581 KB
- Volume
- 105
- Category
- Article
- ISSN
- 0377-2217
No coin nor oath required. For personal study only.
β¦ Synopsis
A set of stochastic jobs is to be processed on a single machine which is subject to breakdowns and repairs. Under quite general conditions on the job's processing times, the uptimes and the repairtimes of the machine, we find a simple optimal permutation policy for the weighted sum of an increasing function of the completion times. Some optimal policies for two special cases, which have not been investigated in the literature, are given. Moreover, an upper bound is established on the loss incurred when a processing policy is adopted under a simplifying assumption of exponential processing requirements. 9 1998 Elsevier Science B.V.
π SIMILAR VOLUMES
Learning effect Sum of completion times square Weighted sum of completion times Maximum lateness Number of tardy jobs a b s t r a c t In this study we consider the single-machine scheduling problem with a sum-ofprocessing-times-based learning effect. The sum-of-processing-times-based learning effec