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