Based on an assessment of production capabilities, manufacturing sectors' core competency is increased. The importance product quality in this aspect cannot be overstated. Several academics have introduced Deming's 14 principles, Shewhart cycle, total management, and other approaches to decrease the external failure costs enhance yield rates. Analysis industrial data process monitoring becoming...

Contemporary information systems (e.g., WFM, ERP, CRM, SCM, and B2B systems) record business events in so-called event logs. Business process mining takes these logs to discover process, control, data, organizational, and social structures. Although many researchers are developing new and more powerful process mining techniques and software vendors are incorporating these in their software, few...

Biomimetics and Intelligent Systems Group (BISG) is a fusion of expertise from the fields of computer science and biology. In BISG, our basis are intelligent systems and our research areas include data mining, machine learning, robotics, and information security. More precise research topics vary from data mining algorithm development and optimization of industrial manufacturing processes all t...

Industrial and mining activities are recognized as major sources of soil pollution. This study proposes an index system for evaluating the inherent risk level of polluting factories and introduces an integrated risk assessment method based on human health risk. As a case study, the health risk, polluting factories and integrated risks were analyzed in a typical industrial and mining gathering a...

The European Mining Database for North Rhine Westphalia (EMD-NRW) has the objective to present information about the industrial heritage of mining in an intuitive web mapping application. With the increasing abandonment of these industrial objects, especially in the area of NRW, the digital preservation of information, locations and relations between and about these objects is important. These ...

State of the art information systems are based on explicit process models called workflow models. Experience from industrial practice shows that the definition of workflow models is a very time consuming and error prone task. Recently, there has been an increasing interest in applying techniques from data mining and machine learning to support this task. This approach has also been termed as pr...

Industrial systems are becoming more and more complex and expensive to operate. Companies are making considerable efforts to increase operational efficiency and eliminate unplanned downtime of their equipment. Condition monitoring has been applied to improve equipment availability and reliability. Most of the condition monitoring applications, however, focus on single components, not on entire ...