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

Decision Science MCQs

  

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