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02-10-2014 02:07 AM

I have 8 cycle time of input data : 14:18 , 16:17 , 13:50 , 17:03 , 14:18 , 14:18 , 13:53 , 13:13.

To complete these 8 cycles I need 2 hours.

From these 8 cycles I need to prepare data from Poissons distribution for 8 hours.

Please reply..

Solved! Go to Solution.

2 REPLIES 2

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02-10-2014 02:41 AM

Dear Pankaj_k,

the number of arrivals (for instance of customers) during an time interval [0,T] is Poisson distributed. But you are not interested in the number, you want to simulate this arrival process. Is that true?

The values of the cycle times are interpreted as interarrival times. When the assumptions for a Poisson process are satisfied, these interarrival times are exponentially distributed.

To model such an arrival process, you can use a **Source** object with *Time of creation* = “Interval Adjustable”, *Interval* distribution is “Negexp”, *Start* = 0, *Stop* = 8:00:00.

The distribution parameter *beta* is the mean value of your observed cycle times ( = interarrival times).

Regards,

Peter

Re: Generation of Input data from Poissons distribution

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02-17-2014 06:21 AM

Thanks alot !!

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