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