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