Modern production systems can benefit greatly from integrated and up-to-date digital
representations. Their applications range from consistency checks during the design phase …

Cause-effect graphs are often used as a method for deriving test case suites for black-box
testing different types of systems. This paper represents a survey focusing entirely on the …

Cause-effect graphs are a popular black-box testing technique. The most commonly used
approach for generating test cases from cause-effect graph specifications uses backward …

Sažetak Cause-effect graphing is a commonly used black-box technique with many
applications in practice. It is important to be able to create accurate cause-effect graph …

Root-cause Analysis (RCA) of alarms is a well-established research area in automated
Production Systems (aPS). Many RCA algorithms have been proposed and successfully …

Cause-effect graphs are a commonly used black-box testing method, and many different
algorithms for converting system requirements to cause-effect graph specifications and …

Overall equipment effectiveness (OEE) describes production efficiency by combining
availability, performance, and quality and is used to evaluate production equipment's …

Monitoring of industrial production plants is a complex task, which requires a hight level of
knowledge about the interrelations in the production process in many cases. This …

Maintenance engineers deal with increasingly complex automated production systems,
characterized by increasing computerization or the addition of robots that collaborate with …

Cause-effect graphs (CEGs) are usually applied for black-box testing of complex industrial
systems. The specification process is time-consuming and can result in many errors. In this …