Research On Methods Of Continuous Quality Improvement Based On Data Driven For Discrete Manufacturing

In the face of fierce market competition, enterprises depend on products and products depend on quality. So product quality competition will become more and more evident and obvious. Only continuous quality improvement (CQI) can reduce resource consumption, make customers satisfied, enhance enterprises reputation, expand market share and improve enterprises competitiveness. So CQI is an important strategy for today's discrete manufacturing companies to gain and retain competitive and advantages.On the base of reviewing the relevant status researches, this paper firstly summarizes the characteristics of discrete manufacturing companies, and then discusses the need of carrying out continuous quality improvement for discrete manufacturing companies. So this paper analyzes all kinds of methods of continuous quality improvement. And then mostly discusses the Quality Function Deployment (QFD) and Design of Experiment (DOE). QFD is a useful method in new product development. It achieves the maximum customer satisfaction through translating Voice of Customers (VOC) into Voice of Engineer (VOE) in the House of Quality (HOQ), and ensures the customer-focus from house to house translation. As a planning process, however, QFD cannot tell the exact relationship between quality characteristics and also has a vague and uncertain design targets and so on. This leads to the fuzzy and underlying relationship between variables. As we know, DOE is usually employed to find underlying relationship between variables. And Tolerance Design of Taguchi Method can also be effectively given the scope of the target. If appropriate integration of these two is carried out, we can expect an optimal quality improvement result.In view of this, this paper establishes the integration frame of QFD and DOE. Beginning with the data integration, this paper analyzes the sharing data of QFD and DOE in detail. Based on data driven, mine hidden information, analyze comprehensively the cause of quality problem and forecast the cause of quality abnormal fluctuations. Secondly, from the mutual support point of view, it addresses the functional integration of QFD with classical DOE and Taguchi Methods respectively. And then, the integration frame of these two methods is embedded into the product process to fulfill the integration of quality tools. At the end, an example is given to present the integration process and key steps of QFD and DOE. Practice has proved that the integration frame of QFD and DOE this paper discussed can be used to meet discrete manufacturing companies, and it will create a more significant effect of continuous quality improvement for discrete manufacturing companies.