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