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