In: Economics
Question 1
The simulation models that have been based on independent trials in which the results for one trial do not affect what happens in subsequent trials are referred to as:
| static simulation models | 
| dynamic simulation models | 
| discrete-event simulation models | 
| continuous-event simulation models | 
Question 2
In an inventory simulation model, the percentage of total demand that will be satisfied is referred to as:
| the service level | 
| the optimal order quantity | 
| customer satisfaction level | 
| the optimal inventory level | 
Question 3
If a simulation model is expressed in a simple diagram, which of the following components should not be in the diagram?
| Probabilistic inputs | 
| Controllable inputs | 
| Outputs | 
| Optimisation model | 
Question 4
“After reviewing the simulation results, the analyst is often able to make decision recommendations for the _____________ that will provide the desired output for the real system.”
| controllable inputs | 
| probabilistic inputs | 
| model inputs | 
| experiment inputs | 
Question 5
The simulation models that events, such as arrivals and departures of customers, occur at discrete points in time are referred to as:
| static simulation models | 
| dynamic simulation models | 
| discrete-event simulation models | 
| continuous-event simulation models | 
Question 6
In a waiting line simulation model, the time between two successive arrivals is referred to as:
| interarrival time | 
| arrival interval | 
| headway | 
| server idle time | 
Question 7
Define Risk Analysis in Simulation. Which of the following statements correctly define Risk Analysis in Simulation?
| It is the process of predicting the outcome of a decision in the face of uncertainty. | 
| It is a method for learning about a real system by experimenting with a model that represents the system. | 
| It is a method that can be used to predict how a system will operate given certain choices for controllable inputs and randomly generated values for the probabilistic inputs. | 
| It is one of the most widely used optimisation techniques. | 
Question 8
Which of the following statements is true about Validation in simulation?
| It is the process of determining whether the computer procedure that performs the simulation calculation is logically correct. | 
| It is largely a debugging task to make sure that no errors are in the computer process. | 
| It may involve an analyst to compare computer results for a limited number of events with independent hand calculation. | 
| It is the process of ensuring that the simulation model provides and accurate representation of a real system. | 
Question 910 pts
In simulation, an analysis involves generating values for the probabilistic inputs and computing the resulting value for the output is known as:
| Sensitivity Analysis | 
| What-If Analysis | 
| Simulation Analysis | 
| Best Scenario Analysis | 
Question 10
Which of the following statements is true about Verification?
| It is largely a debugging task to make sure that no errors are in the computer process. | 
| It is the process of ensuring that the simulation model provides and accurate representation of a real system. | 
| It requires an agreement among analysts and managers that the logic and the assumptions accurately reflect the real system. | 
| If possible, the output of simulation model is compared to the output of an existing real system. | 
QUESTION 1 :
Solution 1:
There are types of simulation models . the simulation model in which the result of one trial does not affect the subsequent trial is referred as Discrete - event simulation model.
static simulation model : it is used to represent a system in which time plays no roles i.e. we are generating the statistical result by dwawing some random samples.
Dynamic simulation model: it analazing manufacturing and services and service system since the operate over time. it includes the passage of time. it looks at state changes as they occure over time.
Discrete - event simulation models : it proceed sequence of event changes at decrete point in time as triggered by events. such events occure at a particular instant in time and mark a change of state in the system.
Continious - event simulation model : its behaviour changes only in response to specific event and typically model changes to a system resulting finite number of event distributed over time.