PRODUCT AND PROCESS IMPROVEMENTS BASED ON DATA MINING OF SHOP-FLOOR INFORMATION
To succeed in a competitive market, companies are permanently forced to exploit improvement potential within their products and processes. To do so, shop-floor information, including information about disturbances, customer claims and suggestions of improvement, has to be used systematically. In our paper, the reasons for not using this information effectively are explained. Following this, we describe our concept, which is to systematically collect shop-floor information, consolidate it and make it useable either for immediate, corrective actions or during product customisation. Key element of our approach is to use data mining methods to discover hidden improvement areas, especially within the assembly of customised, complex products.