--%>

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 : Problem on budgeted cash collections

    XYZ Company collects 20% of a month's sales in the month of sale, 70% in the month following sale, and 5% in the second month following sale. The remainder is not collectible. Budgeted sales for the subsequent four months are:     

  • Q : Explain Black–Scholes model Explain

    Explain Black–Scholes model.

  • Q : Problem on Nash equilibrium In a

    In a project, employee and boss are working altogether. The employee can be sincere or insincere, and the Boss can either reward or penalize. The employee gets no benefit for being sincere but gets utility for being insincere (30), for getting rewarded (10) and for be

  • Q : State Measuring complexity Measuring

    Measuring complexity: Many algorithms have an integer n, or two integers m and n, as input - e.g., addition, multiplication, exponentiation, factorisation and primality testing. When we want to describe or analyse the `easiness' or `hardness' of the a

  • Q : Problem on Prime theory Suppose that p

    Suppose that p and q are different primes and n = pq. (i) Express p + q in terms of Ø(n) and n. (ii) Express p - q in terms of p + q and n. (iii) Expl

  • Q : Formal logic It's a problem set, they

    It's a problem set, they are attached. it's related to Sider's book which is "Logic to philosophy" I attached the book too. I need it on feb22 but feb23 still work

  • Q : Set Theory & Model of a Boolean Algebra

    II. Prove that Set Theory is a Model of a Boolean Algebra The three Boolean operations of Set Theory are the three set operations of union (U), intersection (upside down U), and complement ~.  Addition is set

  • Q : Explain the work and model proposed by

    Explain the work and model proposed by Richardson.

  • Q : State Prime number theorem Prime number

    Prime number theorem: A big deal is known about the distribution of prime numbers and of the prime factors of a typical number. Most of the mathematics, although, is deep: while the results are often not too hard to state, the proofs are often diffic

  • Q : Explain Factorisation by trial division

    Factorisation by trial division: The essential idea of factorisation by trial division is straightforward. Let n be a positive integer. We know that n is either prime or has a prime divisor less than or equal to √n. Therefore, if we divide n in