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