Decision Science | Chapter 2 | Part 1 | MBA MCQs | DS

Decision Science MCQs

  

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1. Goods are not sent from
   1.   grocery stores
   2.   warehouses.
   3.   goods are sent from all of these locations
   4.   department stores
2. Goods are received at all of the following except
   1.   warehouses
   2.   departments
   3.   factories
   4.   docks
3. Before the analyst of the transportation model can begin, what data would they need to collect?
   1.   Unit cost to ship
   2.   All of the above
   3.   A list of destinations
   4.   A list of origins
4. Destination points are
   1.   points that receive goods from factories, warehouses, and departments.
   2.   supply points
   3.   none of the above
   4.   points where goods are sent from factories, warehouses, and departments
5. Transportation problems can be solved manually in a straightforward manner except for
   1.   very small, but time consuming problems
   2.   large problems
   3.   all of the above
   4.   medium problems
6. Except to be used to minimized the costs associated with distributing good, transportation model can also be used in
   1.   all of the above
   2.   production planning
   3.   capacity planning
   4.   comparison of location alternative
   5.   transshipment problem
7. The following transportation model is a programming model
   1.   non-linear
   2.   variable
   3.   linear
   4.   analytical
8. The following data consists of a matrix of transition probabilities (P) of three competing companies, the initial market share state 16_10.gif(1), and the equilibrium probability states.
   Assume that each state represents a firm (Company 1, Company 2, and Company 3, respectively) and the transition probabilities represent changes from one month to the next. The market share of Company 1 in the next period is
   1.   0.10
   2.   0.20
   3.   0.47
   4.   0.42
9. Transportation problems be solved
   1.   all of the above
   2.   with a table
   3.   with software packages
   4.   with excel
   5.   manually
10. The objective function of the transportation model is to
    1.   none of the above
    2.   maximize costs
    3.   minimize costs
    4.   reduce shipping costs
11. Which one of the following is a linear programming model ?
    1.   Transportation model analysis
    2.   Linear regression analysis
    3.   MODI analysis
    4.   Cost-volume analysis
12. value for probabilistic input from a discrete probability distribution
    1.   is the value given by the RAND() function.
    2.   is given by matching the probabilistic input with an interval of random numbers.
    3.   is between 0 and 1.
    4.   must be non-negative.
13. Values for the probabilistic inputs to a simulation
    1.   are calculated by fixed mathematical formulas.
    2.   are randomly generated based on historical information.
    3.   are controlled by the decision maker.
    4.   are selected by the decision maker.
14. The ________ determine(s) the equilibrium of a Markov process.
    1.   fundamental matrix F
    2.   transition matrix
    3.   original state probabilities
    4.   state vector
15. Markov analysis assumes that the states are both __________ and __________.
    1.   finite, recurrent
    2.   infinite, absorbing
    3.   generally inclusive, always independent
    4.   collectively exhaustive, mutually exclusive
16. The method for finding the lowest-cost plan for distributing stocks of goods or supplies from multiple origins to multiple destinations that demand the goods is
    1.   cost-volume analysis
    2.   linear regression analysis
    3.   MODI analysis
    4.   transportation model analysis
17. The basis for the transportation model is
    1.   a way to provide a map for people to see results
    2.   to provide data for use in other areas
    3.   a method to arrive at the lowest total shipping cost
    4.   so delivery drivers know where to go
18. A quantity that is difficult to measure with certainty is called a
    1.   risk analysis.
    2.   profit/loss process.
    3.   probabilistic input.
    4.   project determinant.
19. What does the transportation problem involve finding:
    1.   closest destinations
    2.   highest cost-plan
    3.   lowest cost-plan
    4.   farthest destinations
20. A simulation model uses the mathematical expressions and logical relationships of the
    1.   real system.
    2.   performance measures.
    3.   estimated inferences.
    4.   computer model.