Decision Science | Chapter 1 | Part 5 | MBA MCQs | DS

Decision Science MCQs

  

 

1. ………..models in which the input and output variables follow a probability distribution.
   1.   Iconic
   2.   Deterministic model
   3.   mathematical
   4.   analogue
2. ………. Example of probabilistic model
   1.   Game theory
   2.   Charts
   3.   Graphs
   4.   All the above
3. Alternative solutions exists of an LP model when
   1.   One of the constraints is redundant.
   2.   Objective function equation is parallel to one of the constraints
   3.   Two constraints are parallel.
   4.   all of the above
4. ………..is a method of analyzing the current movement of the same variable in an effort to predict the future movement of the same variable.
   1.   Goal programming
   2.   Markov analysis
   3.   Replacement theory
   4.   Queuing theory
5. The transportation model is a
   1.   a. linear model
   2.   b. quadratic mode
   3.   c. model with two variables
   4.   both a and c
6. The transportation model is used to determine
   1.   what type of transportation to use (boat, truck, train or plane) to transport goods, while
      minimizing costs
   2.   what day of the week goods should be transportation on to minimize costs
   3.   how to distribute goods from multiple origins to multiple destinations to minimize
      total shipping costs
   4.   how to best package goods so that they wouldn't break while transporting them
   5.   none of the above
7. What assumption is used in the transportation model?:
   1.   The items to be shipped are heterogeneous.
   2.   Shipping cost per unit is the different regardless of the number of units shipped.
   3.   The items to be shipped are the same regardless of their source or destination.
   4.   There is more than one route or mode of transportation being used between each origin and
      each destination.
8. Which of the following is needed for a transportation model?
   1.   A list of origins and each one's capacity or supply quantity per period
   2.   A list of destinations and each one's demand per period
   3.   The unit cost of shipping items from each origin to each destination
   4.   All of the above
9. The transportation model is a linear __ model.
   1.   Data
   2.   Programming
   3.   Distribution
   4.   Shipping
10. Common features of simulations--generating values from probability distributions, maintaining records, recording data and summarizing results--led to the development of
    1.   Excel and Lotus.
    2.   GPSS, SIMSCRIPT, SLAM, and Arena
    3.   LINDO and The Management Scientist
    4.   BASIC, FORTRAN, PASCAL, and C.
11. In order to verify a simulation model
    1.   compare results from several simulation languages.
    2.   be sure that the procedures for calculations are logically correct.
    3.   confirm that the model accurately represents the real system.
    4.   run the model long enough to overcome initial start-up results
12. Simulation
    1.   does not guarantee optimality.
    2.   is flexible and does not require the assumptions of theoretical models
    3.   allows testing of the system without affecting the real system.
    4.   All of the alternatives are correct.
13. A simulation model used in situations where the state of the system at one point in time does
    not affect the state of the system at future points in time is called a
    1.   dynamic simulation model
    2.   static simulation model.
    3.   steady-state simulation model.
    4.   discrete-event simulation model.
14. When events occur at discrete points in time
    1.   a simulation clock is required
    2.   the simulation advances to the next event.
    3.   the model is a discrete-event simulation.
    4.   All of the alternatives are correct.
15. The process of determining that the computer procedure that performs the simulation calculations is logically correct is called
    1.   implementation.
    2.   validation.
    3.   verification.
    4.   repetition.
16. Numerical values that appear in the mathematical relationships of a model and are considered known and remain constant over all trials of a simulation are
    1.   parameters.
    2.   probabilistic input.
    3.   controllable input.
    4.   events.
17. The word "uniform" in the term "uniform random numbers" means
    1.   all the numbers have the same number of digits.
    2.   each number has an equal probability of being drawn.
    3.   all the numbers are odd or all are even.
    4.   if one number is, say, 10 units above the mean, the next number will be 10 units below the
       mean.
18. The first step in simulation is to
    1.   set up possible courses of action for testing.
    2.   define the problem.
    3.   validate the model.
    4.   construct a numerical model.
19. Which of the following are disadvantages of simulation?
    1.   inability to analyze large and complex real-world situations
    2.   is not usually easily transferable to other problems
    3.   could be disruptive by interfering with the real-world system
    4.   "time compression" capability
20. Cumulative probabilities are found by
    1.   summing all the probabilities associated with a variable.
    2.   any method one chooses.
    3.   summing all the previous probabilities up to the current value of the variable.
    4.   simulating the initial probability distribution.