Estimating the cycle time of each job over event streams in intelligent manufacturing
is critical. These streams include many long-lasting events which
have certain durations. The temporal relationships among those interval-based
events are often complex. Meanwhile, network latencies and machine failures
in intelligent manufacturing may cause events to be out-of-order. This topic
has rarely been discussed because most existing methods do not consider both
interval-based and out-of-order events. In this work, we analyze the preliminaries
of event temporal semantics. A tree-plan model of interval-based
out-of-order events is proposed. A hybrid solution is correspondingly introduced.
Extensive experimental studies demonstrate the efficiency of our approach.
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