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