面向大规模定制的制造业领域数据溯源模型研究

数据溯源技术与大规模定制生产模式的融合是实现数据质量提高和技术创新发展的基础。基于订单随机性、产品种类多、批量少给数据质量带来的一系列的机遇和挑战，提出一种基于开放溯源模型的数据溯源模型。结合大规模定制中数据生命周期的特点，从海量的数据中寻找源头数据及记录数据在传播过程中的变化来对其进行管理，构建大规模定制下制造业领域的数据溯源信息交换模型。建立供应链开放溯源模型、产品属性开放溯源模型和生产阶段开放溯源模型，从而解决大规模定制中企业之间或企业内部的信息交换问题，实现数据追踪功能和数据质量的控制与提升。

Research on Data Provenance Model in Manufacturing Field for Mass Customization

The integration of data provenance with mass customization production models is the basis for achieving data quality improvement and technological innovation development. Based on the random nature of orders, a series of opportunities and challenges were brought to data quality by a large variety of products and small batches, the data provenance model based on the open provenance model was proposed. Combining the characteristics of the data lifecycle in mass customization, by finding the source data from the massive amount of data and recording the changes in the process of data dissemination to manage them, a data provenance information exchange model was built in the manufacturing sector under mass customization. The open provenance model for the supply chain, the open provenance model for product attributes and the open provenance model for the production stage were established, thereby the problem of information exchange among or within enterprises in mass customization was solved and the data tracking function and the control and improvement of data quality were realized.