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In this solution, the distribution of entity types that arrive in the system is random. For example, job orders arriving at a Dispatch desk in a job shop may be one of three types. 60% of the time they are Type A, 30% Type B, and 10% Type C. The inter-arrival time of jobs is exponentially distributed with a mean of 10 minutes. |
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Sometimes there are special arrival requirements and it is not readily obvious how to model them. For example, a single entity or entity batch arrives just once during the simulation, perhaps at the beginning or at some specified time into the simulation. For example, an assembly line has 200 containers that are to be modeled as entities since they get routed and stored much like entities. These containers start out in a container storage buffer. |
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