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