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