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Test your basic knowledge |
Operations Research
Start Test
Study First
Subject
:
business-skills
Instructions:
Answer 31 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. A cost that depends upon the decision made. The amount will vary depending on the values of the decision variables.
Relevant Cost
Sunk Cost
Objective Function
Standard Form
2. It assumes that the facility decisions are made and cannot be easily changed over the next 6 to 18 months.
Forward (or downstream)
Feasible Solution
Aggregate Planning
Chase Strategy
3. An equation or inequality that rules out certain combinations of decision variables as feasible solutions.
Linear Program
Stockout costs
Constraint
Objective Function
4. A rule indicating when simultaneous change in two or more objection function coefficients will not cause a change in the optimal values for the decision variables. It can also be applied to indicate when two or more right-hand-side changes will not c
Slack Variable
Feasible Solution
100 percent Rule
Unbounded
5. A solution that satisfies all the constraints simultaneously.
Alternative optimal solution
Objective Function
Feasible Solution
Surplus Variable
6. The distribution channel is the ______________ part of the supply chain from manufacturer to consumer.
Constraint
Objective Function
Forward (or downstream)
Redundant Constraint
7. A controllable input for a linear programming model.
Objective Function
Sensitivity analysis
Decision Variable
Sunk Cost
8. A linear program in which all of the constraints are written as equalities. The optimal solution is the same as the optimal solution of the original formulation of the linear program.
Sensitivity analysis
Aggregate Planning
Unbounded
Standard Form
9. The study of how changes in teh coefficients of a linear pgoramming problem affect the optimal solution.
100 percent Rule
Forward (or downstream)
Extreme Point
Sensitivity analysis
10. The situation in which the value of the solution may be made infinitely small in a minimization problem wtihout violating any of the constraints.
Surplus Variable
Linear functions
Unbounded
Forward (or downstream)
11. A set of constraints that requires all variables to be nonnegative.
Mathematical Model
Surplus Variable
Linear functions
Nonnegativity Constraints
12. The process of translating a verbal statement of a problem into a mathematical statement called the mathematical model.
Feasible Region
ABC analysis
Reduced Cost
Problem Formulation
13. It requires that inventory be classified according to Annual dollar usage
ABC analysis
Sunk Cost
Unbounded
Objective Function
14. The amount by whcih an objective function coefficient would have to improve (increase for a maximization problem - decrease for a minimization problem) before it would be possible for the corresponding variable to assume a positive value in the opti
ABC analysis
Sunk Cost
Reduced Cost
Unbounded
15. The expression that defines teh quantity to be maximized or minimized in a linear programming model.
Objective Function
Slack Variable
Infeasibility
Dual Price
16. The case in which more than one solution provides the optimal value for the objective function.
Feasible Region
Alternative optimal solution
Redundant Constraint
Infeasibility
17. A variable added to teh left-hand side of a less-than-or-equal-to constraint to convert teh constraint into an equality. The value of this variable can usually be interpreted as the amount of unused resource.
Surplus Variable
Problem Formulation
Slack Variable
Stockout costs
18. A representation of a problem where teh objective and all constraint conditions are described by mathematical expressions.
ABC analysis
Constraint
Mathematical Model
Dual Price
19. Graphically speaking - the feasible solution points occurring at the vertices or "corners" of the feasible region. With two-variable problems - they are determined by the intersection of the constraint lines.
100 percent Rule
Stockout costs
Product Pricing
Extreme Point
20. The firm produces exactly what is needed every month adjusting short term capacity through the use of overtime - part-time - temporary and contracted workers.
Linear functions
Chase Strategy
Slack Variable
Mathematical Model
21. Mathematical expressions in which the variables appear in separate terms and are raised to the first power.
Problem Formulation
Chase Strategy
Linear functions
Standard Form
22. One option for altering the pattern of demand which impacts aggregate planning is...
Relevant Cost
Reduced Cost
Sunk Cost
Product Pricing
23. The improvement in the value of the optimal solution per unit increase in the right-hand side of a constraint.
100 percent Rule
Relevant Cost
Surplus Variable
Dual Price
24. A constraint that does not affect teh feasible region. If a constraint is redundant - it can be removed from the problem without affecting the feasible region.
Problem Formulation
Dual Price
Redundant Constraint
Linear Program
25. Of the cost elements making up total inventory cost - which is the most difficult to estimate?
Infeasibility
Sunk Cost
Stockout costs
Redundant Constraint
26. A cost that is not affected by the decision made. It will be incurred no matter wha tvalues the decision variables assume.
Standard Form
100 percent Rule
Alternative optimal solution
Sunk Cost
27. A variable subtracted from teh lef-hand side of a greater-than-or-equal-to constraint to convert the constraint into an equality. The value of this varible can usually be interpreted as the amount over and above some required minimum level.
100 percent Rule
Forward (or downstream)
Sensitivity analysis
Surplus Variable
28. A mathematical model with a linear objective function - a set of linear constraints - and nonnegative variables.
Sensitivity analysis
Infeasibility
Sunk Cost
Linear Program
29. The set of all feasible solutions.
Feasible Region
Stockout costs
Sensitivity analysis
Large Cushion
30. The situation in which no solution to the linear programming problem satisfies all of the constraints.
Sunk Cost
Relevant Cost
Infeasibility
Mathematical Model
31. In facility planning - which capacity cushion strategy would be appropriate when the cost of stockouts far exceeds the cost of additional building - equipment and resources?
Sensitivity analysis
Large Cushion
Unbounded
Mathematical Model