Exam 18: B: Waiting-Line Analysis

An analyst wants to simulate observations from a Uniform distribution that has a lower limit of 60 minutes and an upper limit of 80 minutes.The analyst draws the random number 75 from a two-digit random number table.In terms of this uniform distribution,this is equivalent to a simulated value of:

In simulating values for an Exponential distribution,the larger the random number,the smaller the simulated value.

An analyst wants to simulate observations from a Normal distribution that has a mean of 41 and a standard deviation of 3.The analyst draws a random number from a normally distributed table of random numbers.The random number is -2.00.The simulated value is:

An item of inventory is checked at the end of each hour.Given the following data: Simulate 10 hours of operation for demand,beginning and ending inventories,and order placements and arrivals.Use the following random digits (left to right):

Simulation is basically an optimizing technique.

The number of machine breakdowns per day in a large factory can be described by a Poisson distribution with a mean of 2.0.Simulate the number of breakdowns over a five-day period,using these random numbers:

A production operation consists of two steps.The time for the first step is uniformly distributed between 10 minutes and 20 minutes.The time for the second operation is uniformly distributed between 15 and 20 minutes.Process one cannot start a new unit until its previous unit has been passed to process two.Process two cannot accept another unit while still processing the previous one.Using these two random number strings (left to right),simulate the total time for three units:

Simulation enables a decision maker to experiment with a system and observe its behaviour.

In the sets of random numbers,every possible combination of the numbers has the same probability of appearing,and there are no discernible patterns.

Simulation models are fairly easy to use and understand; therefore they can be used for a wide range of decisions.

Simulation is useful in situations that are too complex to develop mathematical solutions.

The random numbers used in Monte Carlo simulations come from: I)any source II)computer generated numbers III)a table of random numbers

A simulation model is validated if it adequately depicts real system performance.

Monte Carlo simulations yield approximate rather than exact answers.

Which statement does not accurately describe simulation?

Natural logarithms are used in simulating the:

A Normal distribution has a mean of 9 and a standard deviation of 2.The random number + 1.00 has been drawn from a table of normally distributed random numbers.The simulated number is 10.

Which of the following is not a reason for simulation's popularity?

Random numbers used in Monte Carlo simulation are generated by computer or from random number tables.

Simulation is used to determine the optimal solution to a problem.