Within the context of Industry 4.0, Cyber Physical Systems (CPS) are defined as technologies that can manage interconnected systems between its physical assets and computational capabilities. Successful integration of industry 4.0 principals requires a digital transformation in the production workshops, to interconnect the objects and equipment with the decision process. Due to this informatization, a big amount of data is generated and big data analysis must be employed in order to extract useful knowledge from the collected raw data. A literature review is conducted in this paper to identify data mining methods and technologies used in the context of production planning and scheduling. The results consist of a classification of papers according to their research methodology, CPS level implementation and technological optimization techniques. Finally, new research directions and some insights are discussed with regard to the implementation of a production shop floor 4.0.

在工业 4.0 的背景下，网络物理系统 (CPS) 被定义为可以管理其物理资产和计算能力之间的互连系统的技术。工业 4.0 原则的成功集成需要在生产车间进行数字化转型，以将对象和设备与决策过程互连。由于这种信息化，产生了大量的数据和大数据分析必须使用，以便从收集的原始数据中提取有用的知识。本文进行了文献综述，以确定生产计划和调度中使用的数据挖掘方法和技术。结果包括根据研究方法、CPS 级别实施和技术优化技术对论文进行分类。最后，讨论了关于生产车间4.0实施的新研究方向和一些见解。