In an LPP, if the solution of a variable can be made infinitely large without violating the constraints, then the solution is .............................. a. Infeasible b. Alternative c. Unbounded d. Unique

In an LPP, if the solution of a variable can be made infinitely large without violating the
constraints, then the solution is ..............................
a. Infeasible
b. Alternative
c. Unbounded
d. Unique
by

1 Answer

Answer :

c. Unbounded
by

Related questions

If in a LPP, the solution of a variable can be infinity large without violating the constraints, the solution is ___ a. Infeasible b. Unbounded c. Alternative d. None of the above

Description : If in a LPP, the solution of a variable can be infinity large without violating the constraints, the solution is ___ a. Infeasible b. Unbounded c. Alternative d. None of the above

Last Answer : b. Unbounded

While solving a LPP graphically, the area bounded by constraints is called ................. a. Feasible region b. Infeasible region c. Unbounded region d. None of these

Description : While solving a LPP graphically, the area bounded by constraints is called ................. a. Feasible region b. Infeasible region c. Unbounded region d. None of these

Last Answer : a. Feasible region

If the feasible region of a linear programming problem is empty, the solution is .................... a. Unbounded b. Infeasible c. Infeasible d. Alternative

Description : If the feasible region of a linear programming problem is empty, the solution is .................... a. Unbounded b. Infeasible c. Infeasible d. Alternative

Last Answer : b. Infeasible

If there are more than one optimal solutions for the decision variables, the solution is ........... a. Infeasible b. Unbounded c. Alternative d. None of these

Description : If there are more than one optimal solutions for the decision variables, the solution is ........... a. Infeasible b. Unbounded c. Alternative d. None of these

Last Answer : c. Alternative

64. If the feasible region of a LPP is empty, the solution is _______ a. Infeasible b. Unbounded c. Alternative d. None of the above

Description : 64. If the feasible region of a LPP is empty, the solution is _______ a. Infeasible b. Unbounded c. Alternative d. None of the above

Last Answer : a. Infeasible

When at least one of the basic variables is zero, then the basic feasible solution to a Linear Programming Problem is said to be .............................. a. Infeasible b. Unbounded c. Degenerate d. Non-degenerate

Description : When at least one of the basic variables is zero, then the basic feasible solution to a Linear Programming Problem is said to be .............................. a. Infeasible b. Unbounded c. Degenerate d. Non-degenerate

Last Answer : c. Degenerate

A LPP model doesnot contain: a. Decision b. Constraints c. Feasible solution d. Spread Sheet

Description : A LPP model doesnot contain: a. Decision b. Constraints c. Feasible solution d. Spread Sheet

Last Answer : d. Spread Sheet

Constraints in an LPP are treated as active, if they: a. Do not consume all the available resources at optimality b. Represent optimal solution c. Both a and b d. None of these

Description : Constraints in an LPP are treated as active, if they: a. Do not consume all the available resources at optimality b. Represent optimal solution c. Both a and b d. None of these

Last Answer : b. Represent optimal solution

55. If two constraints do not intersect in the positive quadrant of the graph, then a. The problem is infeasible b. The solution is unbounded c. One of the constraints is redundant d. None of the above

Description : 55. If two constraints do not intersect in the positive quadrant of the graph, then a. The problem is infeasible b. The solution is unbounded c. One of the constraints is redundant d. None of the above

Last Answer : a. The problem is infeasible

58. While solving a LP model graphically, the area bounded by the constraints is called a. Feasible region b. Infeasible region c. Unbounded solution d. None of the above

Description : 58. While solving a LP model graphically, the area bounded by the constraints is called a. Feasible region b. Infeasible region c. Unbounded solution d. None of the above

Last Answer : a. Feasible region

While solving an LPP, infeasibility may be removed by: a. Removing a variable b. Removing a constraint c. Adding a variable d. Adding a constraint

Description : While solving an LPP, infeasibility may be removed by: a. Removing a variable b. Removing a constraint c. Adding a variable d. Adding a constraint

Last Answer : b. Removing a constraint

A basic feasible solution of a linear programming problem is said to be ............... if at least one of the basic variable is zero. (A) degenerate (B) non-degenerate (C) infeasible (D) unbounded

Description : A basic feasible solution of a linear programming problem is said to be ............... if at least one of the basic variable is zero. (A) degenerate (B) non-degenerate (C) infeasible (D) unbounded

Last Answer : (A) degenerate 

Operations Research techniques help to find ................... solution. a. Feasible solution b. Infeasible solution c. Optimal solution d. None of these

Description : Operations Research techniques help to find ................... solution. a. Feasible solution b. Infeasible solution c. Optimal solution d. None of these

Last Answer : c. Optimal solution

In simplex method, we add .......................... in the case of constraints with sign “=” a. Surplus variable b. Artificial variable c. Slack variable d. None of these

Description : In simplex method, we add .......................... in the case of constraints with sign “=” a. Surplus variable b. Artificial variable c. Slack variable d. None of these

Last Answer : b. Artificial variable

A set of values X1,X2……..Xn which satisfies the constraints of the LPP is called_______ a. Solution b. Variable c. Linearity d. None of the above

Description : A set of values X1,X2……..Xn which satisfies the constraints of the LPP is called_______ a. Solution b. Variable c. Linearity d. None of the above

Last Answer : a. Solution

52. If an iso-profit yielding the optimal solution coincides with a constraint line, then a. The solution is unbounded b. The solution is infeasible c. The constraint which coincides is redundant d. None of the above

Description : 52. If an iso-profit yielding the optimal solution coincides with a constraint line, then a. The solution is unbounded b. The solution is infeasible c. The constraint which coincides is redundant d. None of the above

Last Answer : d. None of the above

The dummy source/destination in a transportation problem is added to ........................ a. Satisfy rim constraints b. Prevent solution from becoming degenerate c. Ensure total cost does not exceed a limit d. None of the above

Description : The dummy source/destination in a transportation problem is added to ........................ a. Satisfy rim constraints b. Prevent solution from becoming degenerate c. Ensure total cost does not exceed a limit d. None of the above

Last Answer : a. Satisfy rim constraints

The graphical method if LPP uses: a. Linear equations b. Constraint equations c. Objective function d. All of the above

Description : The graphical method if LPP uses: a. Linear equations b. Constraint equations c. Objective function d. All of the above

Last Answer : d. All of the above

The following transportation problem: The above solution of a given transportation problem is (A) infeasible solution (B) optimum solution (C) non-optimum solution (D) unbounded solution

Description : The following transportation problem:  The above solution of a given transportation problem is (A) infeasible solution (B) optimum solution (C) non-optimum solution (D) unbounded solution

Last Answer : (B) optimum solution

At any iteration of simplex method, if Δj (Zj – Cj) corresponding to any nonbasic variable Xj is obtained as zero, the solution under the test is (A) Degenerate solution (B) Unbounded solution (C) Alternative solution (D) Optimal solution

Description : At any iteration of simplex method, if Δj (Zj – Cj) corresponding to any nonbasic variable Xj is obtained as zero, the solution under the test is (A) Degenerate solution (B) Unbounded solution (C) Alternative solution (D) Optimal solution

Last Answer : (C) Alternative solution

Non-negativity constraints are written as ...................... a. Equality b. Non-equality c. Greater than or equal to d. Less than or equal to

Description : Non-negativity constraints are written as ...................... a. Equality b. Non-equality c. Greater than or equal to d. Less than or equal to

Last Answer : c. Greater than or equal to

Straight lines shown in a linear programming graph indicates ........................... a. Objective function b. Constraints c. Points d. All of the above

Description : Straight lines shown in a linear programming graph indicates ........................... a. Objective function b. Constraints c. Points d. All of the above

Last Answer : b. Constraints

A minimisation problem can be connected into maximisation problem by changing the signs of coefficients in the ........................... a. Constraints b. Objectives c. Both a and b d. None of these

Description : A minimisation problem can be connected into maximisation problem by changing the signs of coefficients in the ........................... a. Constraints b. Objectives c. Both a and b d. None of these

Last Answer : b. Objectives

All the parameters in the linear programming model are assumed to be ..................... a. Variables b. Constraints c. Functions d. None of these

Description : All the parameters in the linear programming model are assumed to be ..................... a. Variables b. Constraints c. Functions d. None of these

Last Answer : b. Constraints

..................... are expressed in the form of equations a. Objectives b. Constraints c. Both a and b d. None of these

Description : ..................... are expressed in the form of equations a. Objectives b. Constraints c. Both a and b d. None of these

Last Answer : b. Constraints

62. If one of the constraint of an equation in an LP problem has an unbounded solution, then a. Solution to such LP problem must be degenerate b. Feasible region should have a line segment c. Alternative solutions exists d. None of the above

Description : 62. If one of the constraint of an equation in an LP problem has an unbounded solution, then a. Solution to such LP problem must be degenerate b. Feasible region should have a line segment c. Alternative solutions exists d. None of the above

Last Answer : b. Feasible region should have a line segment

If the primal Linear Programming problem has unbounded solution, then it’s dual problem will have (A) feasible solution (B) alternative solution (C) no feasible solution at all (D) no bounded solution at all

Description : If the primal Linear Programming problem has unbounded solution, then it’s dual problem will have (A) feasible solution (B) alternative solution (C) no feasible solution at all (D) no bounded solution at all 

Last Answer : (C) no feasible solution at all

Dual of the dual s a .......................... a. Dual b. Primal c. Alternative d. None of these

Description : Dual of the dual s a .......................... a. Dual b. Primal c. Alternative d. None of these

Last Answer : b. Primal

Controllable variables are also called.................................. a. Slack variables b. Surplus variables c. Artificial variable d. Decision variables

Description : Controllable variables are also called.................................. a. Slack variables b. Surplus variables c. Artificial variable d. Decision variables

Last Answer : d. Decision variables

...................... is a method of analysing the current movement of the some variable in an effort to predict the future movement of the same variable. a. Goal programming b. Queuing theory c. Markov Analysis d. Replacement theory

Description : ...................... is a method of analysing the current movement of the some variable in an effort to predict the future movement of the same variable. a. Goal programming b. Queuing theory c. Markov Analysis d. Replacement theory

Last Answer : c. Markov Analysis

A constraint in a Linear Programming Model restricts: a. Value of objective function b. Value of decision variable c. Use of available resources d. All of the above

Description : A constraint in a Linear Programming Model restricts: a. Value of objective function b. Value of decision variable c. Use of available resources d. All of the above

Last Answer : d. All of the above

In simplex method, ........................ should be selected when there is tie between slack/surplus variable and decision variable. a. Slack variable b. Decision variable c. Surplus variable d. None of these

Description : In simplex method, ........................ should be selected when there is tie between slack/surplus variable and decision variable. a. Slack variable b. Decision variable c. Surplus variable d. None of these

Last Answer : b. Decision variable

.......................models consider time as one of the important variable. a. Dynamic b. Static c. Botha and b d. None of these

Description : .......................models consider time as one of the important variable. a. Dynamic b. Static c. Botha and b d. None of these

Last Answer : a. Dynamic

Which of the following is a characteristic of a dual problem: a. Dual of a dual is primal b. If dual has a finite optimal solution, then the primal also has finite optimal solution c. If dual has no feasible solution, then the primal also has no feasible solution d. All of the above

Description : Which of the following is a characteristic of a dual problem: a. Dual of a dual is primal b. If dual has a finite optimal solution, then the primal also has finite optimal solution c. If dual has no feasible solution, then the primal also has no feasible solution d. All of the above

Last Answer : d. All of the above

. In simplex algorithm, which method is used to deal with the situation where an infeasible starting basic solution is given? a. Slack variable b. Simplex method c. Big M Method d. None of the above

Description : . In simplex algorithm, which method is used to deal with the situation where an infeasible starting basic solution is given? a. Slack variable b. Simplex method c. Big M Method d. None of the above

Last Answer : b. Simplex method

The pair of equations 3 x + y = 81 , 81 x – y = 3 has (a) no solution (b) unique solution (c) infinitely many solutions (d) x = 2 , y = 1

Description : The pair of equations 3 x + y = 81 , 81 x – y = 3 has (a) no solution (b) unique solution (c) infinitely many solutions (d) x = 2 , y = 1

Last Answer : d) x = 2 , y = 1

The pair of equations 3 x + y = 81 , 81 x – y = 3 has (a) no solution (b) unique solution (c) infinitely many solutions (d) x = 2 , y = 1

Description : The pair of equations 3 x + y = 81 , 81 x – y = 3 has (a) no solution (b) unique solution (c) infinitely many solutions (d) x = 2 , y = 1

Last Answer : d) x = 2 , y = 1

MODI Method to test the optimality of a feasible solution to TP is also called............... a. Stepping Stone Method b. u. v. Method c. both a and b d. none of these

Description : MODI Method to test the optimality of a feasible solution to TP is also called............... a. Stepping Stone Method b. u. v. Method c. both a and b d. none of these

Last Answer : b. u. v. Method

Matrix Minima Method to find initial feasible solution to a TP is also called ....................... a. NWCM b. LCM c. VAM d. None of these

Description : Matrix Minima Method to find initial feasible solution to a TP is also called ....................... a. NWCM b. LCM c. VAM d. None of these

Last Answer : c. VAM

Initial feasible solution to a transportation problem arrived through which of the following method is very near to the optimal solution: a. NWCM b. LCM c. VAM d. None of these

Description : Initial feasible solution to a transportation problem arrived through which of the following method is very near to the optimal solution: a. NWCM b. LCM c. VAM d. None of these

Last Answer : c. VAM

For a minimisation Transportation Problem, the objective is to minimise: a. Profit b. Cost c. Solution d. None of these

Description : For a minimisation Transportation Problem, the objective is to minimise: a. Profit b. Cost c. Solution d. None of these

Last Answer : b. Cost

........................ is applied to determine optimal solution. a. NWCR b. VAM c. MODI Method d. None of these

Description : ........................ is applied to determine optimal solution. a. NWCR b. VAM c. MODI Method d. None of these

Last Answer : c. MODI Method

Initial feasible solution to a transportation Problem can be found out by ......................... a. VAM b. MODI Method c. Both a and b d. None of these

Description : Initial feasible solution to a transportation Problem can be found out by ......................... a. VAM b. MODI Method c. Both a and b d. None of these

Last Answer : a. VAM

An optimal solution is considered as the ................... among the feasible solutions. a. Worst b. Best c. Ineffective d. None of these

Description : An optimal solution is considered as the ................... among the feasible solutions. a. Worst b. Best c. Ineffective d. None of these

Last Answer : b. Best

Which of the following is true with regard to a Linear Programming Model? a. No guarantee to get integer valued solution b. The relationship among decision variables is liner c. Both a and b d. None of the these

Description : Which of the following is true with regard to a Linear Programming Model? a. No guarantee to get integer valued solution b. The relationship among decision variables is liner c. Both a and b d. None of the these

Last Answer : d. None of the these

Operations Research makes a ...................... attack on complex problems to arrive at optimal solution. a. Scientific b. Systematic c. Both a and b d. None of these

Description : Operations Research makes a ...................... attack on complex problems to arrive at optimal solution. a. Scientific b. Systematic c. Both a and b d. None of these

Last Answer : c. Both a and b

Operations Research does not give perfect solution to a problem, but it helps to improve the ......................... of the solution. a. Quality b. Clarity c. Look d. None of these

Description : Operations Research does not give perfect solution to a problem, but it helps to improve the ......................... of the solution. a. Quality b. Clarity c. Look d. None of these

Last Answer : a. Quality

The solution to a transportation problem with ‘m’ rows and ‘n’ columns is feasible if the number of positive allocations are: a. m + n b. m x n c. m +n – 1 d. m +n + 1

Description : The solution to a transportation problem with ‘m’ rows and ‘n’ columns is feasible if the number of positive allocations are: a. m + n b. m x n c. m +n – 1 d. m +n + 1

Last Answer : c. m +n – 1

All the constraints are expressed as equations and the right hand side of each constraint and all variables are non-negative is called_______ a. Canonical variable b. Canonical form c. Canonical solution d. Both a & b

Description : All the constraints are expressed as equations and the right hand side of each constraint and all variables are non-negative is called_______ a. Canonical variable b. Canonical form c. Canonical solution d. Both a & b

Last Answer : b. Canonical form