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An office of a state license bureau has two types of arrivals. Individuals interested in purchasing new plates are characterized to have service times as

An office of a state license bureau has two types of arrivals. Individuals interested in purchasing new plates are characterized to have service times as TRIA(8.8, 13.7, 15.2); all times are in minutes. Individuals who want to renew or apply for a new driver's license have service times as TRIA(16.7, 20.5, 29.2). The office has two lines, one for each customer type. The customer arrival pattern varies over the day and is summarized here:

Customers who want to purchase a new plate:

Hour

Arrivals per Hour

Hour

Arrivals per Hour

1

6

5

7

2

5

6

8

3

9

7

6

4

7

8

5

Customers who want to renew or apply for a new driver’s license:

Hour

Arrivals per Hour

Hour

Arrivals per Hour

1

4

5

5

2

4

6

7

3

7

7

5

4

6

8

3

The office is open for arriving customers 8 hours a day, although the services are continued for an additional hour to accommodate the remaining customers.

The office has five clerks: two devoted to plates (Mary and Kathy), two devoted to licenses (Sue and Jean), and the team leader (Neil) who can serve both customer types. Neil will serve the customer when both clerks for plates or both clerks for licenses are busy. Assume that all clerks are available all the time for the nine-hour day.

i) Build a simulation model. Copy and paste Arena flow charts, run setups, and spreadsheet view of each module. Set the replication length to 1.

ii) Report the system time (or the total time in the system) for both customer types over a nine-hour day.

(b) The office is considering cross-training Kathy so she can serve both customer types. Modify the model to represent this, and see what effect this has on system time by customer type.

Note: Attach the screenshots of only the modified modules.

(c) Modify the model from part b) to include 30-minute lunch breaks for each clerk. The breaks should be given in the following order: Mary, Sue, Neil, Kathy, and Jean. Mary will start the first lunch break 180 minutes into the day. And then Sue will take her lunch break 30 minutes later (210 minutes into the day), and so on. What impact does this have on system time by consumer type?

Note: Attach the screenshots of only the modified modules.

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To simulate the system we can use a discrete event simulation approach We can define events such as arrivals and departures and simulate the system over an 8hour day Explanation First lets define the ... blur-text-image

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