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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. 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.
Extreme Point
Feasible Region
Mathematical Model
Nonnegativity Constraints
2. The study of how changes in teh coefficients of a linear pgoramming problem affect the optimal solution.
Relevant Cost
Feasible Solution
Sensitivity analysis
Product Pricing
3. 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.
Surplus Variable
Redundant Constraint
Linear functions
100 percent Rule
4. 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.
Sensitivity analysis
Redundant Constraint
Infeasibility
Unbounded
5. 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
Redundant Constraint
Reduced Cost
Feasible Region
Decision Variable
6. 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.
Problem Formulation
Standard Form
Unbounded
Constraint
7. The process of translating a verbal statement of a problem into a mathematical statement called the mathematical model.
Problem Formulation
ABC analysis
Surplus Variable
Mathematical Model
8. The case in which more than one solution provides the optimal value for the objective function.
Nonnegativity Constraints
Alternative optimal solution
Aggregate Planning
Slack Variable
9. One option for altering the pattern of demand which impacts aggregate planning is...
Sensitivity analysis
Redundant Constraint
Standard Form
Product Pricing
10. A cost that depends upon the decision made. The amount will vary depending on the values of the decision variables.
Aggregate Planning
Objective Function
Extreme Point
Relevant Cost
11. Of the cost elements making up total inventory cost - which is the most difficult to estimate?
Redundant Constraint
Stockout costs
100 percent Rule
Aggregate Planning
12. The set of all feasible solutions.
Decision Variable
Sensitivity analysis
Feasible Region
Large Cushion
13. The distribution channel is the ______________ part of the supply chain from manufacturer to consumer.
Extreme Point
Forward (or downstream)
Unbounded
Feasible Region
14. A set of constraints that requires all variables to be nonnegative.
ABC analysis
Slack Variable
Nonnegativity Constraints
Feasible Solution
15. The improvement in the value of the optimal solution per unit increase in the right-hand side of a constraint.
Aggregate Planning
Sensitivity analysis
Dual Price
Redundant Constraint
16. The firm produces exactly what is needed every month adjusting short term capacity through the use of overtime - part-time - temporary and contracted workers.
Sunk Cost
Chase Strategy
Relevant Cost
Slack Variable
17. A cost that is not affected by the decision made. It will be incurred no matter wha tvalues the decision variables assume.
Sunk Cost
Feasible Solution
Slack Variable
Nonnegativity Constraints
18. It requires that inventory be classified according to Annual dollar usage
100 percent Rule
Reduced Cost
Mathematical Model
ABC analysis
19. A mathematical model with a linear objective function - a set of linear constraints - and nonnegative variables.
Linear Program
Nonnegativity Constraints
Feasible Solution
Aggregate Planning
20. A controllable input for a linear programming model.
Infeasibility
Large Cushion
Aggregate Planning
Decision Variable
21. The situation in which no solution to the linear programming problem satisfies all of the constraints.
Infeasibility
Chase Strategy
Problem Formulation
Slack Variable
22. It assumes that the facility decisions are made and cannot be easily changed over the next 6 to 18 months.
Sensitivity analysis
Standard Form
Feasible Solution
Aggregate Planning
23. A solution that satisfies all the constraints simultaneously.
Alternative optimal solution
Surplus Variable
Dual Price
Feasible Solution
24. Mathematical expressions in which the variables appear in separate terms and are raised to the first power.
100 percent Rule
Extreme Point
Linear functions
Alternative optimal solution
25. The situation in which the value of the solution may be made infinitely small in a minimization problem wtihout violating any of the constraints.
Unbounded
100 percent Rule
Decision Variable
Nonnegativity Constraints
26. A representation of a problem where teh objective and all constraint conditions are described by mathematical expressions.
Standard Form
Constraint
Mathematical Model
Decision Variable
27. 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.
Slack Variable
Feasible Region
Product Pricing
Reduced Cost
28. The expression that defines teh quantity to be maximized or minimized in a linear programming model.
Chase Strategy
Forward (or downstream)
Mathematical Model
Objective Function
29. 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?
Objective Function
Relevant Cost
Unbounded
Large Cushion
30. 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
Surplus Variable
Feasible Solution
100 percent Rule
Objective Function
31. An equation or inequality that rules out certain combinations of decision variables as feasible solutions.
Relevant Cost
Standard Form
Constraint
Surplus Variable