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