Exam 21: Simulation

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The following table shows the probability of demand for automobiles used in an Excel simulation. The following table shows the probability of demand for automobiles used in an Excel simulation.   The = RAND() function results in a random number for week #1 of 0.2239.The = VLOOKUP function is used with the table above to generate a random car demand for week #1.The resulting random car demand for this week is: The "= RAND()" function results in a random number for week #1 of 0.2239.The "= VLOOKUP" function is used with the table above to generate a random car demand for week #1.The resulting random car demand for this week is:

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The following table shows the probability of demand for automobiles used in an Excel simulation. The following table shows the probability of demand for automobiles used in an Excel simulation.   The = RAND() function results in a random number for week #1 of 0.1705.The = VLOOKUP function is used with the table above to generate a random car demand for week #1.The resulting random car demand for this week is: The "= RAND()" function results in a random number for week #1 of 0.1705.The "= VLOOKUP" function is used with the table above to generate a random car demand for week #1.The resulting random car demand for this week is:

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A simulation model:

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If the data needed to set up a simulation are available in company records,the technique used to obtain them is called ________.

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A simulation model is used to test the impact of the number of sample customers at a supermarket.As the model is run,the decision maker watches the average number of customers in the store rapidly increase from zero until it levels off and holds a constant value.The simulation model is:

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Scenario E.1 SimQuick is being used to simulate the following bank process: Scenario E.1 SimQuick is being used to simulate the following bank process:   Customer arrivals at the Entrance Door of the bank with an average time between arrivals of 2.5 minutes.The Line Buffer holds 6 customers.If a customer arrives and the buffer line is filled,the customer leaves.The Work Station Teller's processing time per customer is normally distributed,with a mean of 3.0 minutes and a standard deviation of 0.5 minutes.The Served Customer Buffer in the flow chart is used to count the number of customers processed during the period simulated.A 2-hour period was simulated. The SimQuick simulation is run,and the results are as follows:    -Use the information in Scenario E.1.On average,approximately how many customers were waiting in line during the 2-hour simulation period? Customer arrivals at the Entrance Door of the bank with an average time between arrivals of 2.5 minutes.The Line Buffer holds 6 customers.If a customer arrives and the buffer line is filled,the customer leaves.The Work Station Teller's processing time per customer is normally distributed,with a mean of 3.0 minutes and a standard deviation of 0.5 minutes.The Served Customer Buffer in the flow chart is used to count the number of customers processed during the period simulated.A 2-hour period was simulated. The SimQuick simulation is run,and the results are as follows: Scenario E.1 SimQuick is being used to simulate the following bank process:   Customer arrivals at the Entrance Door of the bank with an average time between arrivals of 2.5 minutes.The Line Buffer holds 6 customers.If a customer arrives and the buffer line is filled,the customer leaves.The Work Station Teller's processing time per customer is normally distributed,with a mean of 3.0 minutes and a standard deviation of 0.5 minutes.The Served Customer Buffer in the flow chart is used to count the number of customers processed during the period simulated.A 2-hour period was simulated. The SimQuick simulation is run,and the results are as follows:    -Use the information in Scenario E.1.On average,approximately how many customers were waiting in line during the 2-hour simulation period? -Use the information in Scenario E.1.On average,approximately how many customers were waiting in line during the 2-hour simulation period?

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Time compression is the feature of simulation that allows managers to obtain operating-characteristic estimates in much less time than is required to gather the same operating data from a real system.

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What are the differences between decision variables and uncontrolled variables? Describe the differences and provide an example from a simulation model.

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Which one of the following statements about simulation analysis is FALSE?

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SimQuick can be used to simulate all of the following EXCEPT:

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SimQuick is to be used to simulate the following bank process: SimQuick is to be used to simulate the following bank process:   Customers arrive at the Entrance Door of the bank with an average time between arrivals of 2.5 minutes The Line Buffer holds 6 customers.If a customer arrives and the buffer line is filled,the customer leaves.The Work Station Teller's processing time per customer is normally distributed,with a mean of 3.0 minutes and a standard deviation of 0.5 minutes.The Served Customer Buffer in the flowchart is used to count the number of customers processed during the simulation period.A 2-hour period is to be simulated and the simulation should be repeated 30 times.Determine: a)The number of customers served during the 2-hour period; b)The percentage of customers who arrived at the bank and left because the buffer line was full; c)The utilization of the teller (% of time working)during the 2-hour period; Customers arrive at the Entrance Door of the bank with an average time between arrivals of 2.5 minutes The Line Buffer holds 6 customers.If a customer arrives and the buffer line is filled,the customer leaves.The Work Station Teller's processing time per customer is normally distributed,with a mean of 3.0 minutes and a standard deviation of 0.5 minutes.The Served Customer Buffer in the flowchart is used to count the number of customers processed during the simulation period.A 2-hour period is to be simulated and the simulation should be repeated 30 times.Determine: a)The number of customers served during the 2-hour period; b)The percentage of customers who arrived at the bank and left because the buffer line was full; c)The utilization of the teller (% of time working)during the 2-hour period;

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________ occurs when the simulation is repeated over enough time that the average results for performance measures remain constant.

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Which one of the following statements regarding simulation analysis is FALSE?

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The two approaches to data collection for simulation are ________ and ________.

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In Excel,typing the function ________ will generate random numbers within the interval 0 to 1.

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What is steady state in a simulation model? Why is it important to achieve steady state?

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If the difference in results between different simulation runs results in a mathematical difference in system performance,the difference is said to be ________.

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Refer to the bank process model.The Marketing Department for the bank has decided to run a special promotion for new customers that will increase the number of customers arriving at the bank.The new arrival rate is expected to be an average time between arrivals of 2.0 minutes instead of the current average time between arrivals of 2.5 minutes.With the potential increase in business,the bank manager is concerned about the number of customers who will arrive and leave because the line is full (with 6 customers)and the average wait time in line at the bank.All other parameters of the model remain the same.Using SimQuick,estimate the new arrive and immediately leave rate and average time in line.Should the manager be concerned?

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The manager of a branch bank wants to build a simulation model of the lobby operation to reduce the waiting time of her customers.The number of customers waiting in line at any point of time is an example of a(n):

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The manager of a branch bank wants to build a simulation model of the lobby operation to reduce the waiting time of her customers.The number of tellers is an example of:

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