化工学报2018，Vol.69Issue(3)：913-922,10.DOI:10.11949/j.issn.0438-1157.20171406
基于状态设备网络的改进间歇生产调度模型
Improved schedule model for batch production by state unit network
摘要
Abstract
Establishing effective model for scheduling batch process has always been a hot spot of production planning research. Continuous-time model based on unit-specific-event is evolved as a promising tool for optimizing short-term schedule of batch process. A nonlinear programming model for contiguous batch production was developed on the basis of state unit network and specific event time point. To overcome challenges of solving nonlinear model, a replacement technique was used so that non-linear items in the model were linearized. Consequently, the nonlinear mixed integral program model became a linear one. Because of no big M relaxation item, the linear mixed integral model had compact search space and improved solving efficiency. The simulation results of three batch processes illustrated excellent efficiency and stability of the new model. Furthermore, constraints of the new model at different storage states were provided to expand model applicability.关键词
间歇调度问题/生产/模型/状态设备网络/优化Key words
batch processes scheduling/production/model/state unit network/optimization分类
信息技术与安全科学引用本文复制引用
闫雪丽,韩豫鑫,顾幸生..基于状态设备网络的改进间歇生产调度模型[J].化工学报,2018,69(3):913-922,10.基金项目
国家自然科学基金项目(61573144,61673175).supported by the National Natural Science Foundation of China(61573144,61673175). （61573144,61673175）
