摘要
提出间歇生产过程在线生产调度校正的评价指标.该指标较好地综合间歇过程等待时间和操作单元闲置时间对经济效益的影响,然后提出基于预测的短期生产调度在线校正算法POMA.访真结果表明,POMA算法具有很好的效果和很强的鲁棒性,
The nccessity of online schedule modification in batch plants is firstly developed. A new performance measure assessing various schedule modification algorithms is persented, which synthesizes the effect of batch wait time and unit idle time on economic benefit. Secondly, the online modification algorithm POMA based on prediction is put forward for short term scheduling, which overcomes the myopia of the traditional methods. being able to purpopfully modify the start time of sequencing batch processes. In order to test the effect and robustness of POMA, many simulations have been done. The result shows that POMA is efficient and of strong robustness. Tn view or its simple principle and convenient implemention, POMA is of high value to the practice on batch process optimal scheduling.
出处
《福州大学学报(自然科学版)》
CAS
CSCD
1993年第5期141-144,共4页
Journal of Fuzhou University(Natural Science Edition)
关键词
优化调度
间歇生产过程
生产调度
batch operation
optimal scheduling
predictive modification