MGMT 3175- Final Exam (Multiple Choice)

Students arrive at the School of Business and Public Administration advising office at the rate of 20 per hour. Judy Gumshoes advises students at the rate of 24 per hour. Both rates follow a Poisson Distribution. What percent of the time is Judy busy with advising? a. .833 b. .890 c. .913 d. .980

A.) .833

A stage in dynamic programming is equivalent to: a. subproblem. b. a reward. c. complete enumeration. d. none of the above.

A.) Subproblem

Cost-benefit analysis for DSS is: a. difficult to calculate because many of the benefits are intangible b. capable of being standardized for standard procedures c. as same as in other MS models (e.g. EOQ) d. all of the above

A.) difficult to calculate because many of the benefits are intangible

Which of the following is not a characteristic of Monte Carlo simulation? a. it deals with deterministic situations b. it uses random numbers c. it involves sampling the probability distribution d. it is usually worked out by computers

A.) it deals with deterministic situations

The Markov model is used basically for: a. making predictions b. finding optimal solutions c. generating transition matrices d. optimally allocating resources

A.) making predictions

A one-hour film processing store has a single machine that processes film as it arrives. The mean arrival rate of film is 70 rolls per hour and follows a Poisson Distribution. The mean service rate of film is 80 rolls per hour and follows a Poisson Distribution. The mean time in hours that a roll of film spends in the system is which of the following? a. .05 b. .10 c. .875 d. 1.0

B.) .10

Students arrive at a class registration room at the Poisson rate of 4 per hour. The officer serves students by FCFS with an average exponentially time of 10 minutes. Which of the following is the mean number of students waiting in line for service? a. 1.0 b. 1.33 c. 2.0 d. 3.2

B.) 1.33

Which of the following have servers which are fully (100%) utilized? I. λ = 30, µ = 20 both follow a Poisson Distribution II. λ = 20, µ = 20 both follow a Poisson Distribution III. λ = 10, µ = 20 both follow a Poisson Distribution IV. λ = 20, µ = 20 both are constant, that is not random a. I, II and III only. b. I, II and IV only. c. I, III, and IV only. d. II, III, and IV only.

B.) I, II and IV Only.

. The backward approach in DP implies: a. rolling all prices back to the initial period. b. starting the last stage first. c. starting the first stage last. d. none of the above.

B.) Starting the last stage first

In a single channel queuing system, the queue length will keep growing if: a. average waiting time in the system is larger than the average service time b. average rate of arrival is equal to the average rate of service c. service facility is idle at any time d. none of the above

B.) average rate of arrival is equal to the average rate of service

A goal profit constraint is: 5x1 + 3x2 + d-1 - d+1 = 1000. The undesirable deviation in this case is: a. d+1 b. d-1 c. either d. neither

B.) d-1

Assignment problems deal with: a. an unlimited number of candidates. b. finding the best one-to-one matches. c. equalizing the costs involved in each match. d. none of the above.

B.) finding the best 1 to 1 matches

Which of the following describe "what if" analysis? a. it is a type of sensitivity analysis b. it improves confidence in a model c. it increases the rate of application of quantitative analysis d. all of the above

B.) it improves confidence in a model

Which of the following is not an advantage of GP over LP? a. It permits analysis of a problem with multiple, conflicting goals. b. It permits consideration of non-feasible solutions. c. It requires explicit priorities of goals. d. It permits tradeoffs among various goals.

B.) it permits consideration of non-feasible solutions

The use of dynamic programming is limited by: a. the "curse" of optimality. b. its inability to develop a standard recursive relation formulation. c. its inability to deal with decision-making under risk. d. none of the above.

B.) its inability to develop a standard recursive relation forumlation

Which of the following is NOT a DSS characteristic? a. deal with semi-structured problems b. replace managerial judgment c. incorporate data and models d. improve effectiveness rather than efficiency

B.) replace managerial judgement

The steady state probability in a Markov Chain depend only on: a. the initial conditions b. the transition probabilities c. the states of nature d. the number of stages

B.) the transition probabilities

. The number of decision variables in a transportation problem with 1 sources and 10 destinations is: a. 10 b. 20 c. 100 d. none of the above.

C.) 100

Students arrive at a single computer terminal during on-line registration at the rate of 10 per hour. On average, the operator of terminal can process 20 per hour. Both rates follow a Poisson Distribution. What is the average waiting time for students before they can sit with the operator? a. 6 minutes b. 5 minutes c. 3 minutes d. 1.2 minutes

C.) 3 minutes

Advantages of simulation include all of the following except: a. Model development leads to a better understanding of the real system. b . Even an optimal answer will not result, a good answer will. c. Models are so powerful that they often can replace human expertise. d. A more realistic replication of a system than a mathematical analysis

C.) Models are so powerful that they often can replace human expertise

The cost of providing service: a. increases with the service level while the waiting time goes up b. decreases with the service level while the waiting time goes up c. increases with the service level while the waiting time declines d. decreases with the service level while the waiting time declines

C.) increases w/ the service level while the waiting time declines

The principle of optimality in DP implies that the optimal policy for the remaining states depends only upon: a. the initial state. b. the previous stage and the transition matrix. c. the state of the current stage. d. the initial state and the current state.

C.) the state of the current stage

Which of the following is not an advantage of dynamic programming? a. It can deal with decision-making under risk. b. It can solve a sequence interrelated decision problems. c. There is no need to investigate all possible solutions. d. The larger the problem, the more efficient is the procedure. e. none of the above.

C.) there is no need to investigate all possible solutions

A plant-warehouse shipment problem can basically be formulated by: a. transportation. b. linear programming. c. integer programming. d. all of the above.

D. ) All of the above

A goal programming problem usually requires several computer runs because management wants to check the impact of changes in: a. the priorities of the goals. b. the flexibility of system resource constraints. c. the weights of the right hand side of the constraint. d. all of the above.

D.) All of the above

Transportation problems deal with: a. shipments from a number of sources to a number of destinations. b. each source has a fixed capacity c. each destination has a given demand requirement d. all of the above.

D.) All of the above

Which of the following are the information generated by the Markov analysis? a. the steady state probabilities b. the transient (state) probabilities c. the chance of system being at a specific state in any given period d. all of the above

D.) All of the above

If the minimum number of lines that covers all zeros in the Hungarian method equals n-1 (n is the number of rows), then the solution is: a. infeasible. b. optimal. c. multiple optimal. d. feasible but may not be optimal

D.) Feasible but may not be optimal

Which of the following is not a component of goal programming? a. Goal constraints. b. Objective function for the deviations. c. Decision variables. d. Objective function for the goal(s). e. System constraint.

D.) Objective function for the goal(s)

Initial conditions are important because they are needed to compute: a. the steady state b. the market share after given number of periods c. the transition probabilities (matrix) d. all of the above

D.) all of the above

Simulation models can be classified as: a. stochastic vs. deterministic b. discrete vs. continuous c. variable vs. fixed-interval d. all of the above

D.) all of the above

Simulation variables can be classified as: a. managed vs. unmanaged b. internal vs. external c. dependent vs. independent d. all of the above

D.) all of the above

Which of the following is NOT a benefit of DSS? a. facilitate communication b. objective analysis, use of models c. flexibility and what-if analysis d. all of above

D.) all of the above

Which of the following is/are components of an expert system? a. knowledge base b. inference engine c. model base d. all of above

D.) all of the above

Which of the following is/are the most common management objective in making decisions about a queuing system? a. cost minimization b. a specified service level c. profit maximization d. All of the above

D.) all of the above

Validation of a simulation model deals with: a. establishing the sample size b. determining random numbers c. sensitivity of the solution d. none of the above

D.) none of the above

Which of the following is not a component of the basic queuing model? a. the arrival process b. the waiting line c. the service discipline d. none of the above

D.) none of the above

Which one of the following situations has no waiting lines? a. λ = 30, µ = 20 both follow a Poisson Distribution b. λ = 20, µ = 20 both follow a Poisson Distribution c. λ = 10, µ = 20 both follow a Poisson Distribution d. λ = 20, µ = 20 both are constant, that is not random

D.) λ = 20, µ = 20 both are constant, that is not random

. Which of the following is/are components of a DSS? a. database b. model base c. hardware d. user-system interface e. all of the above

E.) all of the above

. Which of the following steps is/are a part of the Monte Carlo process: a. construct a cumulative distribution b. assign a range of random numbers c. select a random number d. project a corresponding random observation e. all of above

E.) all of the above

Which of the following is NOT a benefit of expert systems? a. cost reduction b. improved quality of decision c. captures scarce expertise d. fast numerical analysis e. none, all are benefits

E.) none, all are benefits