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