Single-machine time-dependent scheduling problems with fixed rate-modifying activities and resumable jobs

被引:0
|
作者
Anna Arigliano
Gianpaolo Ghiani
Antonio Grieco
Emanuela Guerriero
机构
[1] Università del Salento,Department of Engineering
来源
4OR | 2017年 / 15卷
关键词
Scheduling; Single machine; Learning effect; Deteriorating jobs; Time dependent scheduling; Rate modifying activity; 90B35;
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摘要
In this paper, we deal with single machine scheduling problems subject to time dependent effects. The main point in our models is that we do not assume a constant processing rate during job processing time. Rather, processing rate changes according to a fixed schedule of activities, such as replacing a human operator by a less skilled operator. The contribution of this paper is threefold. First, we devise a time-dependent piecewise constant processing rate model and show how to compute processing time for a resumable job. Second, we prove that any time-dependent continuous piecewise linear processing time model can be generated by the proposed rate model. Finally, we propose polynomial-time algorithms for some single machine problems with job independent rate function. In these procedures the job-independent rate effect does not imply any restriction on the number of breakpoints for the corresponding continuous piecewise linear processing time model. This is a clear element of novelty with respect to the polynomial-time algorithms proposed in previous contributions for time-dependent scheduling problems.
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页码:201 / 215
页数:14
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