A New Information System for Prioritisation of Product Quality Improvement

摘要

Product quality is critical for a business organisation due to highly competitive, customer-driven market. Product quality is measured by the defects created during the manufacturing processes. In a typical manufacturing environment, defects can be generated by any sources, such as design, materials, production processes, testing and handling. It is common for quality assurance, process or product engineers to carry out a diagnosis to find sources of defects after they have occurred. The approach carried out by these engineers is to focus on localised issues and try to solve the problem using recent data. There is a comprehensive approach to identify sources of defects throughout the scope from design to production and testing. Historical data generated through the defect diagnosis provides an opportunity for data reuse. The data can be used to predict potential defects that could happen in the near future. This study aims to design an information system that helps to prioritise product quality improvement based on the historical data. The study will start with a high-level systemic view. Data analysis and optimization will be carried out to narrow down to the potential focus areas for quality improvement. Further analysis can then be carried out to prioritise critical parameters affecting specific product quality issues. A case study is conducted to evaluate the feasibility of the information system.