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