These Linear Programming multiple-choice questions and their answers will help you strengthen your grip on the subject of Linear Programming. You can prepare for an upcoming exam or job interview with these Linear Programming MCQs.
So scroll down and start answering.
A. Shortest processing time
B. Sequencing
C. Binding constraints
D. Theory of constraints
A. An approach in linear programming
B. A method by which parallel cost lines are plotted in the LP graphical solution
C. The limited availability of resources
D. Both b & c
A. Procedural Programming
B. Functional Programming
C. Scripting Programming
D. Linear programming
A. Decision variables
B. Moderating variables
C. Control variables
D. Extraneous variables
A. Iso-cost line method
B. Iso-profit line method
C. Linear relationship
D. None of these
A. True
B. False
A. Time
B. Value
C. Quality
D. Magnitude
A. True
B. False
A. The objective of an LP problem expressed mathematically
B. The limited range over which the shadow price remains constant
C. The range of values of the objective function within which the optimal values of the decision variables will not change
D. None of these
A. Remains constant
B. Large
C. Small
D. Both a & c
A. Range of optimality
B. Range of feasibility
C. Redundant constraints
D. Shadow price or dual price
A. Range of optimality
B. Range of feasibility
C. Redundant constraints
D. Shadow price or dual price
A. Sensitivity or post-optimality analysis
B. Shadow price or dual price
C. Simplex method
D. BOTH A & B
A. Determine the optimal value of the objective function
B. It is the price one would be willing to pay for acquiring an additional unit of that resource
C. The amount by which the left-hand-side values are less than the right-hand-side values in LP constraints
D. All are related to Shadow price or dual price
A. True
B. False
A. Slack
B. Surplus
C. Both a & b
D. None of these
A. Slack
B. Surplus
C. Both a & b
D. None of these
A. Redundant constraints
B. Surplus constraints
C. Binding constraints
D. Infinite constraints
A. Corner point solution method
B. Iso-cost line method
C. Iso-profit line method
D. Multiple optimum solutions
A. Range of optimality
B. Range of feasibility
C. Linear relationship
D. Iso-profit line
A. Objective
B. Decision
C. Variable
D. Function
A. Slack
B. Surplus
C. Constraints
D. Objective function
A. Corner point
B. Linear relationship
C. Iso-profit line
D. Range of optimality
A. Linear programming
B. Iso-profit line
C. Range of feasibility
D. Corner point
A. Slack
B. Surplus
C. Constraints
D. Objective function
A. Redundant constraints
B. Sensitivity
C. Range of feasibility
D. Decision variables
A. Iso-profit line
B. Range of feasibility
C. Linear relationship
D. Sensitivity
A. Iso-profit line
B. Range of feasibility
C. Linear relationship
D. Range of optimality
A. Corner point
B. Iso-profit line
C. Redundant constraints
D. Range of optimality
A. Restrictions
B. Visibility
C. Decisions
D. Slack
A. Bjective
B. Extreme
C. Feasible
D. Infeasible
A. Compliance Plan
B. Work Plan
C. Self-referral laws
D. CIA yearly review