期刊
JOURNAL OF GLOBAL OPTIMIZATION
卷 67, 期 1-2, 页码 251-262出版社
SPRINGER
DOI: 10.1007/s10898-015-0320-5
关键词
Scheduling; Serial-batching; Deteriorating jobs; Learning effect; Single-machine
资金
- National Natural Science Foundation of China [71231004, 71171071, 71131002, 71201042]
- Fundamental Research Funds for the Central Universities [JZ2015HGBZ0116, JZ2015HGBZ0117, JZ2015HGQC0187]
- project of Distinguished International Professor by the Chinese Ministry of Education [MS2014HFGY026]
This paper deals with serial-batching scheduling problems with the effects of deterioration and learning, where time-dependent setup time is also considered. In the proposed scheduling models, all jobs are first partitioned into serial batches, and then all batches are processed on a single serial-batching machine. The actual job processing time is a function of its starting time and position. In addition, a setup time is required when a new batch is processed, and the setup time of the batches is time-dependent, i.e., it is a linear function of its starting time. Structural properties are derived for the problems of minimizing the makespan, the number of tardy jobs, and the maximum earliness. Then, three optimization algorithms are developed to solve them, respectively.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据