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I need solution for this problem for Arena (simulation). Develop a model of a simple serial two-process system, hems arrive at the system with a

I need solution for this problem for Arena (simulation). image text in transcribed
Develop a model of a simple serial two-process system, hems arrive at the system with a mean time between arrivals of10 minutes, with the finest arrival at time a They are immediately sent to Process 1 which has a single resource with a mean service time of 9 minutes. Upon completion, they are sent to Process 2, which is identical to butindependent of Process thems depart the system upon completion of Process 2. Performance measures of interest are the time average numbers in queue at each process and the average totaltme in system ofitems put a textbox in your model with each of these performance measures' values for each of the four run conditions listed, Using a single replication of length 10,000 minutes the above exercise, set the interarival-time distribution to exponential and the process time distribution for each Process to uneorm on the intervallo h setting the value of hto 1332, of 4. and 5196, compute the variance of this distribution and make three drserent runs of tooo00 minutes each and the results Assume the process tme has a mean of g and a variance Calculate the parameters for the gamma distribution that will give these values. Make 100.000 minute run. Note that here both he mean and variance the same sorry shape of create an Arena model and export it to the database as an Excel (xis file and upload the Excel sheet as the on upload a response file (15MB max) Dosyay Secin segili dosya yok Develop a model of a simple serial two-process system, hems arrive at the system with a mean time between arrivals of10 minutes, with the finest arrival at time a They are immediately sent to Process 1 which has a single resource with a mean service time of 9 minutes. Upon completion, they are sent to Process 2, which is identical to butindependent of Process thems depart the system upon completion of Process 2. Performance measures of interest are the time average numbers in queue at each process and the average totaltme in system ofitems put a textbox in your model with each of these performance measures' values for each of the four run conditions listed, Using a single replication of length 10,000 minutes the above exercise, set the interarival-time distribution to exponential and the process time distribution for each Process to uneorm on the intervallo h setting the value of hto 1332, of 4. and 5196, compute the variance of this distribution and make three drserent runs of tooo00 minutes each and the results Assume the process tme has a mean of g and a variance Calculate the parameters for the gamma distribution that will give these values. Make 100.000 minute run. Note that here both he mean and variance the same sorry shape of create an Arena model and export it to the database as an Excel (xis file and upload the Excel sheet as the on upload a response file (15MB max) Dosyay Secin segili dosya yok

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