A novel approach for prioritization of product quality improvement in a complex manufacturing environment.
Product quality is critical for business organisations due to a highly competitive, customer driven market. Robust products and reliable services play a key role in ensuring long-term customer loyalty. The aim of our project is to design an information system that will assist in prioritizing product quality improvement based on available data.
On the onset of our project, we began looking at our study from a high-level systemic view. We then took a data modelling approach to narrow down to potential focus areas for quality improvement. Further analysis was carried out to prioritise critical factors affecting specific product quality issues and subsequent actions were taken on the selected factors. Results were later monitored and impacts validated.
The value of research and innovation lies in solving real-life problems. I witnessed first hand the positive effects of embedding robotics as part of a healthcare solution and it inspired me to further my research and develop my own therapeutic robot for the Malaysian market”
Dr Yeong Che Fai, CREST funded researcher