Question: : For each of the situations a through e below, perform 3 0 simulations and report the identified metrics in the table below. Note: overall

: For each of the situations a through e below, perform 30 simulations and report the identified metrics in the table below. Note: overall mean cycle time through the process from the time it enters WS1 to the time it leaves WS3. This is computed by adding the overall mean cycle times through the internal buffers, the Buffers added between Work Stations (if any), and the mean working times at the Work Stations.
a. Consider the SimQuick model base case as shown above. Note that the Working time for each Work Station is Uni(5,15).
b. Consider the original model, and change the working time at each Work Station to
Uni(9,11). Note that the new working times have the same mean but a smaller variance.
c. Consider the original model, using the reduced variance distribution from part b on WS2
only.
d. For the original model, add a Buffer between WS1 and WS2 and another Buffer between
WS2 and WS3(with no initial inventory). Set the capacity of both Buffers 3.
e. For the original model, add a Buffer between WS1 and WS2 and another Buffer between
WS2 and WS3(with no initial inventory). Set the capacity of both Buffers 9. Process Flow Map for a Linear Flow Process
Butfer
Finished
Goods
We ket time units denote minutes. The working tume at cach Work Station is umertain but can be approximuted the same way by a uniform ditribution with a funimum of \( S \) minutes and maximum of 15 minutes (ic, ceter Unit 5,15) for the rookeng times). Hence the lines balaved in the senise that the foran working tume (10 minutes) at each Work Station is the same (howerer, there is a lot of varance in the working times). We ruat the model for a simulated 24 bour time period, that is,1490 time units. For the capicts and intial unventory of Raw Maternals, enter 300(this will grevent us from running out). Enter Unlinited for the capocity of
: For each of the situations a through e below,

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