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Multiple Choice: (select the most correct response) 1. In the growth stage of a product's life cycle, a typical operations strategy would be:...

Multiple Choice: (select the most correct response)

1. In the growth stage of a product’s life cycle, a typical operations strategy would be:

a. Increasing capacity.
b. Short production runs.
c. Cost minimization.
d. Increases in process stability.

2. Which statement is true?

a. The mission statement precedes analysis of external and
internal factors.
b. Market segments are selected prior to development of the
mission statement.
c. Functional strategy is formulated prior to corporate strategy.
d. The marketing functional strategy dictates the products and
services that the firm will offer.


3. Product innovation rates are a(an):

a. A goal-based measure.
b. A corporate goal.
c. A productivity measure.
d. An external factor.


4. In decision theory, the three states of nature are:

a. Local, regional, and national.
b. Low, medium, and high
c. Short-term, mid-term, and long-term.
d. Certainty, uncertainty, and risk.

-2-

5. Simple or single-stage decision making models are characterized by:

a. Event nodes.
b. Decision nodes.
c. Decision arrows.
d. Conditional payoff tables or matrices.
e. Decision “chains”.

6. Under uncertainty, the risk averter decision criterion is:

a. LaPlace.
b. Maxi-max.
c. Expected value.
d. Maxi-min.

7. When probabilities are assigned to events, the decision maker may use:

a. The pessimistic criterion.
b. The equally-likely criterion.
c. The expected opportunity loss criterion.
d. The optimistic criterion.

8. An advantage of simulation modeling is:

a. It generates an optimal solution to the problem.
b. It allows the inclusion of real-world complications.
c. It can be used in similar problem applications with only slight
modifications.
d. It forces managers to identify every single relevant variable within
The problem.

9. Options in designing simulation models include all except:

a. Repeating- versus non-repeating random numbers.
b. Most versus all relevant variables.
c. One versus several random number strings.
d. Time-incrementing versus event-incrementing.


10. Which of the following probability distributions cannot be simulated?

a. normal. b. poisson. c. uniform. d. all can be simulated.


11. The service facility is a combination of:

a. Arrival rates and service rates.
b. Servers and customers.
c. Queue length and queue discipline.
d. Channels and phases.


12. In queuing problems, the calling population is either:

a. Known or unknown.
b. Finite or infinite.
c. Single or multi-phased.
d. Random or scheduled.

13. A maintenance shop employing one mechanic and servicing 50 machines would be described as a:

a. Single-channel, priority system.
b. Multi-channel, infinite calling population system.
c. Single-channel, finite calling population system.
d. Multi-channel, finite calling population system.

14. The likelihood that a decision-maker would ever receive a return equal to
the expected opportunity loss ( EOL ) when making an actual decision is:

a. 100%
b. Dependent on the event probabilities.
c. 0%
d. Dependent on the number of states of nature.

15. Commonly obtained measures of a queuing system’s performance include:

a. Average time each customer spends in the system, and the probability
that the service system will be idle.
b. The average queue length, and the maximum time a customer may spend
in the queue.
c. Maximum queue length, and the probability of a specific number of
customers in the system.
d. Average queue length, and the probability that the waiting time will ex-
ceed a specified period.
True or False: ( select the one correct response )

16. Bayes Theorem provides the justification for employing the expected value
decision criterion.

TRUE FALSE

17. Decision trees are solved by starting in the present and working into the
future.

TRUE FALSE

18. In a decision tree, a node ( ○ ) represents an “event”.


TRUE FALSE

19. Combining “randomness” and “long-term event probabilities” results in the
duplication of “reality” in simulation modeling.


TRUE FALSE

20. Several proposed courses of action may be run simultaneously through a
simulation model, so as to save time and expense.

TRUE FALSE

21. “Lambda” ( λ ) is the Greek character used to denote the average service rate
in queuing theory.

TRUE FALSE

22. In a restaurant, the average time spent in the system is the time between a
customer’s arrival and departure.


TRUE FALSE

23. The most common queuing models assume a service rate that is normally-
distributed.

TRUE FALSE

24. A simulation is iconic when the relevant variables of the system being
simulated exhibit chance in their behavior.


TRUE FALSE

25. Random number intervals are based on cumulative probability distributions.


TRUE FALSE

26. Results of simulation experiments with large numbers of trials will generally
be better than those with fewer trials.


TRUE FALSE

27. Given the value of “lambda” ( λ ) , a theoretical frequency distribution for
system arrivals can be established.


TRUE FALSE

28. In queuing problems, the term reneging refers to the fact that some
customers switch queues before receiving service.


TRUE FALSE


29. All queuing systems exhibit first-in, first-out queue discipline.


TRUE FALSE

30. In queuing theory, the theoretical frequency distribution of system arrivals
must be statistically identical to the observed distribution of system arrivals.


TRUE FALSE
PRACTICAL PROBLEMS Multiple Choice ( select the one correct response )


31. In problem one, the best strategy under the maxi-min decision criterion is:

a. Homes , $65,000.00
b. Homes , $86,000.00
c. Apartments , $72,000.00
d. Condos , $23,000.00

32. In problem one, the best strategy under the mini-max regret decision criterion is

a. Apartments , $119,000.00
b. Apartments , $120,000.00
c. Condos , $71,000.00
d. Condos , $168,000.00

33. In problem one, the best strategy under the EOL decision criterion is:

a. Apartments , $71,700.00
b. Homes , $72,500.00
c. Apartments , $120,000.00
d. Homes , $137,000.00

34. In problem two, the game plan under the maxi-max decision criterion is:

a. select the new product line.
b. improve the old product line.
c. select the new product line and conduct thorough development.
d. select the new product line and conduct rapid development.

35. In problem two, the game plan under the maxi-min decision criterion is:

a. select the new product line.
b. improve the old product line.
c. select the new product line and conduct thorough development.
d. select the new product line and conduct rapid development.








36. In problem two, the game plan under the expected value decision criterion is:

a. select the new product line.
b. improve the old product line.
c. select the new product line and conduct thorough development.
d. select the new product line and conduct rapid development.

37. In problem three, the average daily number of garments held overnight is:

a. 15.71
b. 71.42
c. 65.71
d. 68.57
e. none of the above.

38. In problem three, the average maximum drycleaning capacity per day is:

a. 15.71
b. 71.42
c. 65,71
d. 68.57
e. none of the above.

39. In problem three, the average daily number of garments actually cleaned is:

a. 15.71
b. 71.42
c. 65,71
d. 68.57
e. none of the above.

40. In problem four, the proportion of the time that the employee will be busy is:

a. 60 %
b. 50 %
c. 13 %
d. none of the above.









41. In problem four, the average number of people just waiting in line to get some
information is:

a. 2.00
b. 0.50
c. 0.25
d. none of the above.

42. In problem four, the expected time that a person will spend just waiting in line
to have his/her question(s) answered is:

a. 1 minute
b. 2 minutes
c. 4 minutes
d. none of the above.



This question was asked on Jan 08, 2013.

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