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