Manufacturing Process Execution Logs with Sensor Event Streams

37 instances of a manufacturing process log the production and dimensional measurement of a part as a time sequence. This dataset was created by Florian Stertz for a 2020 conference paper on analyzing process concept drifts. It contains process execution log data with time sequence information.

Use Cases

• Detecting process concept drifts based on sensor event streams mentioned in the description
• Analyzing time-series patterns in manufacturing execution logs
• Modeling the relationship between production steps and part dimensions
• Benchmarking algorithms for runtime process analysis

Strengths

• Data is associated with a specific, peer-reviewed 2020 conference paper
• Focuses on 37 distinct instances of a manufacturing process for detailed case analysis

Limitations

• Row count and file size are unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Last update date is unknown; freshness unverified

Provenance

Source

Florian Stertz

Collection Method

Likely collected from manufacturing sensors for academic research.