Validation of models: statistical techniques and data availability
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Validation and verification of simulation models
WSC '04 Proceedings of the 36th conference on Winter simulation
Trace based analysis of process interaction models
WSC '05 Proceedings of the 37th conference on Winter simulation
Business process mining: An industrial application
Information Systems
A trace-based visual inspection technique to detect errors in simulation models
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Survey of research in modeling conveyor-based automated material handling systems in wafer fabs
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
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Automated material handling systems in complex manufacturing plants oftentimes exhibit, possibly transient, tailback phenomena, which reduce a production line's throughput. In order to identify origins and causes of observed tailbacks, historic event log data of loads passing certain waypoints has to be inspected. This paper introduces an approach to automatically carry out transient tailback recognition and cause identification. The approach is based on analysis of holding times and capacities of transport segments. As a result, complete lists of tailbacks and affected segments are provided. Each tailback consists of a reconstructed queue of loads waiting for preceding loads. For each tailback an initial cause event is determined. Additionally, identified tailbacks can be ranked by length or by impact on the transport delays. The developed demonstrator frees the user from time consuming visual inspection of log files by providing clearly represented complete tailback information instead.