--%>

Simulation with Arena

An office of state license bureau has two types of arrivals. Individuals interested in purchasing new plates are characterized to have inter-arrival times distributed as EXPO(6.8) and service times as TRIA(808, 13.7, 15.2); all times are in minutes. Individuals who want to renew or apply for a new driver’s license have inter-arrival times distributed as EXPO(8.7) and service times as TRIA(16.7, 20.5, 29.2). The office has two lines, one for each customer type. 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 who has been waiting the longest. Assume that all clerks are available all the time for the eight-hour day. Note that when entities from the front of multiple FIFO queues (corresponding to multiple Process modules) try to seize the same Resource, the logic to select which entity “wins” is as though all the queues were merged together into a single FIFO queue. Observe the system or cycle time for both customer types. The office described in exercise above, 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.

   Related Questions in Mathematics

  • Q : Uniform scaling what is uniform scaling

    what is uniform scaling in computer graphic

  • Q : Test Please read the assignment

    Please read the assignment carefully and confirm only if you are 100% sure. Please go through below mentioned guidelines and penalties: • Your solution must be accurate and complete. • Please do not change Subject Title of the Email. • Penalty clause will be applied in case of delayed or plag

  • Q : Examples of groups Examples of groups:

    Examples of groups: We now start to survey a wide range of examples of groups (labelled by (A), (B), (C), . . . ). Most of these come from number theory. In all cases, the group axioms should be checked. This is easy for almost all of the examples, an

  • Q : Law of iterated expectations for

     Prove the law of iterated expectations for continuous random variables. 2. Prove that the bounds in Chebyshev's theorem cannot be improved upon. I.e., provide a distribution that satisfies the bounds exactly for k ≥1, show that it satisfies the bounds exactly, and draw its PDF. T

  • Q : Profit-loss based problems A leather

    A leather wholesaler supplies leather to shoe companies. The manufacturing quantity requirements of leather differ depending upon the amount of leather ordered by the shoe companies to him. Due to the volatility in orders, he is unable to precisely predict what will b

  • Q : Problem on sales and budget XYZ Farm

    XYZ Farm Supply data regarding the store's operations follow: • Sales are budgeted at $480,000 for November, $430,000 for December, and $340,000 for January. • Collections are expected

  • Q : Properties of a group How can we say

    How can we say that the pair (G, o) is a group. Explain the properties which proof it.

  • Q : Who independently developed

    Who independently developed a model for simply pricing risky assets?

  • Q : Statistics Caterer determines that 37%

    Caterer determines that 37% of people who sampled the food thought it was delicious. A random sample of 144 out of population of 5000. The 144 are asked to sample the food. If P-hat is the proportion saying that the food is delicious, what is the mean of the sampling distribution p-hat?

  • Q : Ordinary Differential Equation or ODE

    What is an Ordinary Differential Equation (ODE)?