Subject	Industrial Engineering, Manufacturing Engineering
Specific subject area	Discrete manufacturing data includes the events of simulated assembly process
Type of data	CSV, JSON
How data were acquired	The data has been collected using a digital twin known as the FASTory Simulator [1]. This simulator mimics an actual assembly system located in Tampere university. The simulator was controlled by an inhouse developed orchestrator for the purpose of data collection using web services.
Data format	Raw and filtered
Parameters for data collection	The collected data contains 106,154 events during a simulated assembly process [2]. The collection process lasted for 12 h distributed on 3 days. For the data collection, an orchestrator has been set for managing 3 pallets at the same time with continues utilization.
Description of data collection	The data was collected using an orchestrator which acted as event logger for this experiment. The orchestrator uses REST-formatted HTTP notifications for generating the events. The orchestrator needed to subscribe to all notifications in order to collect the data. Besides, the orchestrator managed the assembly of 1017 simulated product. [3]
Data source location	FASTory Simulator [3] Future Automation Systems and Technologies Laboratory (FAST-Lab) Tampere University Tampere, Finland
Data accessibility	Dataset: https://doi.org/10.23729/7e299722-c246-4695-990f-dbe5a7839ad2[2] Software (simulator and orchestrator): https://doi.org/10.5281/zenodo.4541008[3]
Related research article	R.F. Borja, M. Wael M., A. Mussawar, I. Sergii, Z. Jiayi, H. Robert, M.L. Jose L., Comparing ontologies and databases: a critical review of lifecycle engineering models in manufacturing, Knowledge and Information Systems, In Press.