关键词: 大数据, 生命周期, 过程控制, 质量预测, 工艺优化

Abstract: In manufacturing big data environment,to solve the problems of production and operation management with a new way of thinking for global,dynamic and developmental,the present research results at home and abroad were summarized aiming at data-driven process quality control and improvement,and the existing problems were analyzed.The data life cycle theory was introduced into process quality control,and a continuous evolution framework of quality control based on process data life cycle was proposed.Then the dynamic process of the collection,storage,updating and application of quality data to real-time quality control and continuous improvement was described in detail.By linking data,problems and knowledge together,the management and reuse of quality data as well as the accumulation and inheritance of quality knowledge in the production process had been explored.The further research directions were given.

Key words: big data, life cycle, process control, quality prediction, process optimization