Monte carlo simulation was developed as a quantitative

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Reference no: EM13393798

1. A goal of many waiting line problems is to help a firm find the ideal level of services that minimize the cost of waiting and the cost of providing the service.

  • True
  • False

2. Queuing theory had its beginning in the research work of ________.

  • Albert Einstein
  • A.K. Erlang
  • J.K. Rowling
  • P.K. Poisson
  • A.K. Cox

3. The initial state of a queuing system (for example, when a restaurant first opens), is referred to as the ________ state.

  • steady
  • primary
  • introductory
  • transient
  • start-up

4. Arrivals are random when they are dependent on one another and can be predicted.

  • True
  • False

5. A(n) ________ state is the normal operating condition of the queuing system.

  • primary
  • transient
  • NOC
  • balanced
  • steady

6. Simulation of a business or process is generally performed by building a mathematical model to represent the process or system.

  • True
  • False

7. The following is not an advantage of simulation:

  • It allows for the study of what-if questions.
  • Each simulation model is unique.
  • It allows the study of interaction of components or variables to determine which are important.
  • It allows time compression.
  • None of the above

8. The study of waiting lines is called queuing theory.

  • True
  • False

9. Simulation models can be broken down into which of the following three categories?

  • Monte Carlo, queuing, and inventory
  • queuing, inventory, and maintenance policy
  • Monte Carlo, operational gaming, systems simulation
  • inventory, systems simulation, and operational gaming
  • None of the above

10. The logic in a simulation model is presented graphically through which of the following?

  • scatterplot
  • flowchart
  • blueprint
  • decision tree
  • None of the above

11. The process of comparing a model to the real system that it represents to make sure it is accurate is called

  • validation.
  • verification.
  • simulation.
  • experimentation.
  • None of the above


12. A bank with a single queue to move customers to several tellers is an example of a single-channel system.

  • True
  • False

13. Simulation can be effectively used in many

  • inventory problems
  • plant layout problems
  • maintenance policy problems.
  • sales forecasting problems.
  • All of the above


14. Simulation of maintenance problems can help management analyze various staffing strategies based on machine downtime and labor cost.

  • True
  • False

15. The advantage of simulation over queuing or waiting line models is that simulation allows us to relax our assumptions regarding arrival and service distributions.

  • True
  • False


16. A flow diagram is helpful in the logical coding procedures for programming a simulation process.

  • True
  • False


17. The four disadvantages of simulation are cost, its trial-and-error nature, time compression, and uniqueness.

  • True
  • False

18. An automatic car wash is an example of a constant service time model.

  • True
  • False

19. In queuing analysis, total expected cost is the sum of expected ________ plus expected

  • service costs, arrival costs
  • facility costs, calling costs
  • calling cost, inventory costs
  • calling costs, waiting costs
  • service costs, waiting costs

20. An arrival in a queue that reneges is one who

  • after joining the queue, becomes impatient and leaves.
  • refuses to join the queue because it is too long.
  • goes through the queue, but never returns.
  • jumps from one queue to another, trying to get through as quickly as possible.
  • None of the above


21. The three major characteristics of the input source that generates arrivals or customers for the service system are ________.

  • size, demographics, and behavior
  • size, pattern, and behavior
  • demographics, pattern, and behavior
  • size, demographics, and pattern
  • None of the above


22. Most systems use a queue discipline known as ________.

  • shortest processing time
  • longest processing time
  • FIFO
  • earliest due date
  • critical ratio


23. Monte Carlo simulation was developed as a quantitative technique by the great mathematician John von Neumann during World War I.

  • True
  • False

 

Reference no: EM13393798

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