基于数据的复杂制造过程调度

Data-based Scheduling for Complex Manufacturing Processes

现代制造企业规模庞大、过程复杂等特征给制造过程的调度决策带来了极大的挑战.一方面,使用传统方法建立指导生产过程调度的精确数学模型变得越来越困难;另一方面,因缺乏准确、及时的模型参数而往往导致低下的模型使用效果.在此情况下,基于数据–信息–知识–决策的信息提炼轨迹,有必要探寻新的基于数据的复杂制造过程的调度理论与方法.在综述国内外相关研究的基础上,提出了由数据层与模型层构成的基于数据的复杂制造过程调度架构,并对该结构框架下的相关理论、方法及实施技术进行了探讨.

Large manufacturing scale and process complexity of modern manufacturing companies are posing great challenges to production scheduling. On the one hand, it becomes more and more difficult to build accurate mathematical scheduling models for manufacturing processes based on conventional methods; on the other hand, the lack of accurate and real-time parameters of scheduling models may lead to low effectiveness of these models. Therefore, following the information-extraction path of data-information-knowledge-decision, it is necessary to explore innovative theories and methodologies of data-based scheduling for complex manufacturing processes. In this paper, based on systematic research of related works worldwide, a data-based scheduling framework composed of a data layer and a model layer for complex manufacturing processes is proposed. Related theories, methodoloies, and technologies for this scheduling framework are discussed as well.