Paper/ Subject Code 86001/ Operation Research
TYBMS SEM 6
Operation Research
April 2019
Q1.A) Multiple choice questions (Attempt Any 8) (8)
i) ln linear programming, unbounded solution means ____________.
a) infeasible solution b) Degenerate solution
c) Infinite solutions d) Unique solution
a) infeasible solution b) Degenerate solution
c) Infinite solutions d) Unique solution
Ans: c) Infinite solutions
ii) If M + N-1 = Number of allocations in transportation, it means _________.
(Where 'M' is number of rows and N' is number of columns)
a) There is no degeneracy b) Problem is unbalanced
c) Problem is degenerate d) Solution is optimal
(Where 'M' is number of rows and N' is number of columns)
a) There is no degeneracy b) Problem is unbalanced
c) Problem is degenerate d) Solution is optimal
Ans: a) There is no degeneracy
ijü) Floats for critical activities will be always _________________.
a) One b) Zero
c) Highest d) Same ás duration of the activity
a) One b) Zero
c) Highest d) Same ás duration of the activity
Ans: b) Zero
iv) The total time required to complete all the jobs-in a job sequencing problem is known as __________,
a) Idle time b) Processing time
c)Elapsed time d) Processing order
a) Idle time b) Processing time
c)Elapsed time d) Processing order
Ans: c)Elapsed time
v) In linear programming, _____________ represents mathematical equation of the limitations imposed by the problem.
a) Objective function b) Decision variable
c)Redundancy d) Constraints
a) Objective function b) Decision variable
c)Redundancy d) Constraints
Ans: d) Constraints
vi) If in an assignment problem, number of rows is not equal to number of columns then ____________.
a) Problem is degenerate b) Problem is ‘unbalanced
c) It is a maximization problem d) Optimal solution is not possible
a) Problem is degenerate b) Problem is ‘unbalanced
c) It is a maximization problem d) Optimal solution is not possible
Ans: b) Problem is ‘unbalanced
vii) The maximum time in which an activity will be completed assuming all possible delays and postponements is termed as __________.
a) Optimistic time b) Most likely time
c) Pessimistic time d) Expected time
a) Optimistic time b) Most likely time
c) Pessimistic time d) Expected time
Ans: c) Pessimistic time
viii) The various alternatives or courses of actions available to each player in a game are called as __________.
a) Saddle points b) Strategies
c) Pay off d) 'n' player game
a) Saddle points b) Strategies
c) Pay off d) 'n' player game
Ans: b) Strategies
ix) In simplex, a maximization problem is optimal when all Delta J, i.e., Cj-Zj values are
a) Either zero or positive b) Either zero or negative
c) Only positive d) Only negative
a) Either zero or positive b) Either zero or negative
c) Only positive d) Only negative
Ans: b) Either zero or negative
x) Which of the following considers difference between two least costs for each row and column while finding initial basic feasible solution in transportation?
a) North west corner rule b) Least cost method
c) Vogel's Approximation method d) Row minima method
a) North west corner rule b) Least cost method
c) Vogel's Approximation method d) Row minima method
Ans: b) Least cost method
Q1.B) True or false (Attempt Any 7) (7)
i) Probability of a project completing in its expected time (Te) will be always 100%
Ans: False
ii) lf saddle point is available in a game, it is called as pure strategy game.
Ans: True
iii) Slack represents unutilized resources.
Ans: True
iv) If in a transportation problem, number of rows is not equal to number of columns, then the problem is unbalanced.
Ans: False
v) lf we introduce an unnecessary dummy activity, the error is termed as redundancy.
Ans: True
vi) Job sequencing problems are solved to ensure that, both, the total time to complete all jobs and idle time of each machine are maximum.
Ans: False
vii) When more than one optimal solution is possible in a linear programming problem, it is termed as 'unique solution'.
Ans: False
viii) Regret matrix is made to convert a maximization problem into minimization problem in assignment.
Ans: True
ix) Critical path method (CPM) considers the three-time estimates: most likely, optimistic and pessimistic time estimates.
Ans: False
x) In solving a job sequencing problem, it is assumed that all jobs require the same sequence of operations.
Ans: False
November 2019
Q.1A) Match the right and closely related answer from Column Y with the text / term given in Column X. ( Attempt Any 7 questions )
Column X | Column Y |
1) Value of Game = 0 | a) Training programme scheduling |
2) Optimistic Time | b) If no. of Row > No. of Columns |
3) Application of O.R. in HRM | c) Minimization types transportation problem |
4) Pessimistic Time | d) Does not affect the feasible solution |
5) Add Dummy Row in Assignment | e) To maximize per capita income |
6) Redundant Constraint in Graphical | f) one player’s gain is the other player’s Loss |
7) Application of O.R. in Finance | g) If no. of Row < No. of Columns |
8) Transportation elements as time | h) fair game |
9) Add Dummy Column in Assignement | i) Shortest and ideal Time estimate in PERT |
10) Zero Sum Game | j) Time estimate in PERT by considering worst delays |
ANS :
Column X | Column Y |
1) Value of Game = 0 | f) one player’s gain is the other player’s Loss |
2) Optimistic Time | i) Shortest and ideal Time estimate in PERT |
3) Application of O.R. in HRM | a) Training programme scheduling |
4) Pessimistic Time | j) Time estimate in PERT by considering worst delays |
5) Add Dummy Row in Assignment | g) If no. of Row < No. of Columns |
6) Redundant Constraint in Graphical | d) Does not affect the feasible solution |
7) Application of O.R. in Finance | e) To maximize per capita income |
8) Transportation elements as time | c) Minimization types transportation problem |
9) Add Dummy Column in Assignement | b) If no. of Row > No. of Columns |
10) Zero Sum Game | h) fair game |
Q.1 B) State whether following statements True or False: (Attempt any 8) (8)
1) One of the areas of application of Operations Research is in Agriculture.
Ans: False
2) A linear programming model consists of only decision variables and constraints
Ans: True
3) In graphical method of LPP the optimum value occurs anywhere in feasible region.
Ans: True
4) If the assignment elements are cost elements then the objective of the optimal assignment is to maximize the cost.
Ans; False
5) In transportation problem, number of basic allocated (or Occupied) cells should be exactly m+n+1, so that it becomes non-degenerate.
Ans; False
6) Dummy activity does not consume time or resources.
Ans: True
7) The three time estimates employed in PERT are: optimistic time, average expected time, and pessimistic time.
Ans: True
8) In Sequencing the time taken by each job in changing over from one machine to another is negligible.
Ans: False
9) The row [-1,10, 20] dominates the row [0,0,0]
Ans: False
10) The column [0,-1,-2] dominates the column [0,-1, -1]
Ans: False
November 2022
Q.1 A) State whether following statements True or False:(Attempt any8) (8)
1. Operation Research, Methodology consists of definition, solution and validation only.
Ans: False. Operation Research methodology typically involves problem formulation, model construction, solution, validation, and implementation phases.
2. A linear programing problem may have more than one set of solutions.
Ans: True. A linear programming problem can have multiple solutions, especially if the feasible region is unbounded.
3. In graphical method of LPP, if the objective function is parallel to a constraints, the constraint is infeasible.
Ans: False. If the objective function is parallel to a constraint line in the graphical method of linear programming, it means the constraint is redundant or there are infinite feasible solutions, not necessarily infeasible.
4. It is possible for an equation in the simplex table to have both a slack and surplus variable at the same time
Ans: False. In the simplex method, an equation in the simplex table cannot have both a slack and a surplus variable at the same time because they represent different types of variables.
5. The Hungarian method for solving an assignment problem can also be used to solve a transportation problem.
Ans: True. The Hungarian method, which is an algorithm for solving the assignment problem, can be adapted to solve transportation problems.
6. Regret matrix is made to convert a maximization problem into minimization problem in assignment.
Ans: True. The regret matrix is used in decision theory to assess the consequences of different decisions, but it doesn't necessarily convert a maximization problem into a minimization problem.
7. In transportation problem, number of basic allotted (or Occupied) cells should be exactly m + n + 1 that it becomes non-degenerate.
Ans: False. The number of basic allotted cells in a transportation problem should be exactly m + n - 1, where m is the number of sources and n is the number of destinations, to ensure non-degeneracy.
8. In PERT, the total project completion time follows a normal probability distribution.
Ans: False. In PERT (Program Evaluation and Review Technique), the total project completion time follows a beta distribution, not a normal distribution.
9. The orders of completion of jobs are dependent on the sequence of jobs.
Ans: True. The order of completion of jobs can be dependent on the sequence of jobs in certain scheduling problems.
10. Different saddle points in the same payoff matrix always have the same payoff.
Ans: False. Different saddle points in the same payoff matrix can have different payoffs.
Q.1 A) State whether following statements True or False:(Attempt any8) (8)
1. Operation Research, Methodology consists of definition, solution and validation only.
Ans: False. Operation Research methodology typically involves problem formulation, model construction, solution, validation, and implementation phases.
2. A linear programing problem may have more than one set of solutions.
Ans: True. A linear programming problem can have multiple solutions, especially if the feasible region is unbounded.
3. In graphical method of LPP, if the objective function is parallel to a constraints, the constraint is infeasible.
Ans: False. If the objective function is parallel to a constraint line in the graphical method of linear programming, it means the constraint is redundant or there are infinite feasible solutions, not necessarily infeasible.
4. It is possible for an equation in the simplex table to have both a slack and surplus variable at the same time
Ans: False. In the simplex method, an equation in the simplex table cannot have both a slack and a surplus variable at the same time because they represent different types of variables.
5. The Hungarian method for solving an assignment problem can also be used to solve a transportation problem.
Ans: True. The Hungarian method, which is an algorithm for solving the assignment problem, can be adapted to solve transportation problems.
6. Regret matrix is made to convert a maximization problem into minimization problem in assignment.
Ans: True. The regret matrix is used in decision theory to assess the consequences of different decisions, but it doesn't necessarily convert a maximization problem into a minimization problem.
7. In transportation problem, number of basic allotted (or Occupied) cells should be exactly m + n + 1 that it becomes non-degenerate.
Ans: False. The number of basic allotted cells in a transportation problem should be exactly m + n - 1, where m is the number of sources and n is the number of destinations, to ensure non-degeneracy.
8. In PERT, the total project completion time follows a normal probability distribution.
Ans: False. In PERT (Program Evaluation and Review Technique), the total project completion time follows a beta distribution, not a normal distribution.
9. The orders of completion of jobs are dependent on the sequence of jobs.
Ans: True. The order of completion of jobs can be dependent on the sequence of jobs in certain scheduling problems.
10. Different saddle points in the same payoff matrix always have the same payoff.
Ans: False. Different saddle points in the same payoff matrix can have different payoffs.
Q.1. (B) Match the right and closely related answer from Column Y with the text/term given in Column X. (Attempt Any 7 question) (7)
Column X
Column Y
1) Key Column
a) Method of penalties
2) feasible region
b) Crash cost per day
3)VAM Method
c) Region of feasible solution
4) Dummy Row or Column
d) Incoming variable in Simplex
5) NWCR
e) LST-EST or LET-EFT
6) Cost Slope in Crashing
f) Optimistic time
7) Total Float value
g) Saddle point not available in the game
8) Shortest activity time in PERT
h) Unbalance problem
9) Mixed strategy game
i) Time required by a job or any machine
10) Processing time
j) Top left side corner of the side
Ans:
Column X
Column Y
1) Key Column
d) Incoming variable in Simplex
2) feasible region
c) Region of feasible solution
3)VAM Method
a) Method of penalties
4) Dummy Row or Column
h) Unbalance problem
5) NWCR
j) Top left side corner of the side
6) Cost Slope in Crashing
b) Crash cost per day
7) Total Float value
e) LST-EST or LET-EFT
8) Shortest activity time in PERT
f) Optimistic time
9) Mixed strategy game
g) Saddle point not available in the game
10) Processing time
i) Time required by a job or any machine
Column X | Column Y |
1) Key Column | a) Method of penalties |
2) feasible region | b) Crash cost per day |
3)VAM Method | c) Region of feasible solution |
4) Dummy Row or Column | d) Incoming variable in Simplex |
5) NWCR | e) LST-EST or LET-EFT |
6) Cost Slope in Crashing | f) Optimistic time |
7) Total Float value | g) Saddle point not available in the game |
8) Shortest activity time in PERT | h) Unbalance problem |
9) Mixed strategy game | i) Time required by a job or any machine |
10) Processing time | j) Top left side corner of the side |
Ans:
Column X | Column Y |
1) Key Column | d) Incoming variable in Simplex |
2) feasible region | c) Region of feasible solution |
3)VAM Method | a) Method of penalties |
4) Dummy Row or Column | h) Unbalance problem |
5) NWCR | j) Top left side corner of the side |
6) Cost Slope in Crashing | b) Crash cost per day |
7) Total Float value | e) LST-EST or LET-EFT |
8) Shortest activity time in PERT | f) Optimistic time |
9) Mixed strategy game | g) Saddle point not available in the game |
10) Processing time | i) Time required by a job or any machine |
April 2023
Q.1 A) State whether following statements True or False:(Attempt any8) (8)
1) Operation research is also termed as management science.Ans: True
2) The objective function is a linear relationship reflecting the objective of an operation.Ans: False
3) The feasible region is a convex set.Ans: True
4) the value of ∆j = Cj -- Zj row in the simplex table tells us whether the current solution is optimal, and, if it is not, what variable will be in the optimal solution.Ans: False
5) if the assignment elements are cost elements, then the objective of the optimal assignment is to maximize the cost. Ans: False
6) MODI method is the best method to get initials feasible transportation solution.Ans: True
7) the dummy activity has an expected time of zero by definition. Ans: True
8 ) the PERT pessimistic time estimate is an estimate of the minimum time an activity will require. Ans: True
9) in solving a job sequencing problem, it is assumed that all jobs require the same sequencing of operations.ANS: False
10) if saddle point is available in a game, it is called as pure strategy game. Ans: True
Q.1B) Match the right and closely related answer from Column Y with the text / term given in Column X. ( Attempt Any 7 questions )
Column X
Column Y
1) Leaner relationship of Variable
a) Completely utilized resources
2) Infeasible region
b) Minimum cost in the table
3) Scarce resource
c) No feasible solution Possible
4) LCM
d) LPP
5) NWCR
e) In the game, gains of the winner are equal to total losses of all other players
6) Critical Activity
f) Optimistic time
7) Zero sum game
g) Fair game
8) Shortest activity time in PERT
h) Zero float value
9) Value of game =0
i) The time during which a machine is waiting or not working
10) Ideal time
j) Top left side corner of the side
Ans:
Column X
Column Y
1) Leaner relationship of Variable
d) LPP
2) Infeasible region
c) No feasible solution Possible
3) Scarce resource
a) Completely utilized resources
4) LCM
b) Minimum cost in the table
5) NWCR
j) Top left side corner of the side
6) Critical Activity
h) Zero float value
7) Zero sum game
e) In the game, gains of the winner are equal to total losses of all other players
8) Shortest activity time in PERT
f) Optimistic time
9) Value of game =0
g) Fair game
10) Ideal time
i) The time during which a machine is waiting or not working
Column X | Column Y |
1) Leaner relationship of Variable | a) Completely utilized resources |
2) Infeasible region | b) Minimum cost in the table |
3) Scarce resource | c) No feasible solution Possible |
4) LCM | d) LPP |
5) NWCR | e) In the game, gains of the winner are equal to total losses of all other players |
6) Critical Activity | f) Optimistic time |
7) Zero sum game | g) Fair game |
8) Shortest activity time in PERT | h) Zero float value |
9) Value of game =0 | i) The time during which a machine is waiting or not working |
10) Ideal time | j) Top left side corner of the side |
Column X | Column Y |
1) Leaner relationship of Variable | d) LPP |
2) Infeasible region | c) No feasible solution Possible |
3) Scarce resource | a) Completely utilized resources |
4) LCM | b) Minimum cost in the table |
5) NWCR | j) Top left side corner of the side |
6) Critical Activity | h) Zero float value |
7) Zero sum game | e) In the game, gains of the winner are equal to total losses of all other players |
8) Shortest activity time in PERT | f) Optimistic time |
9) Value of game =0 | g) Fair game |
10) Ideal time | i) The time during which a machine is waiting or not working |
November 2023
Q.1 Multiple Choice Questions: (Attempt Any 8) (8)
1. Operation research, which is very powerful tool for ________.
a) Research
b) Decision Making
c) Operations
d) None of the above
2. Constraints in LPP model represent ________.
a) Limitations
b) Requirement
c) Balancing limitations and requirements
d) All of the above
3. 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
4. For solving an assignment problem, which method is used ?
a) British
b) American
c) German
d) None of the above
5. The solution to a transportation problem with m' rows (supplies) & n columns (destination) is feasible if number of positive allocations are
a) m*n
b) m-n
c) m-n-1
d) m+n-l
6. When total supply doesn't match with total demand ________. case exists a transportation problem.
a) unbalanced
b) alternate optimal solution
c) degeneracy
d) none of the above
7. Floats for critical activities will be always ________.
a) zero
b) backward
c) > 1
d) none of the above
8.The two types of costs involved in the process of crashing in a project are costs.
a) direct and indirect
b) partial and full
c) measurable and non-measurable
d) none of these
9. The various courses of actions available to each player are called as
a) Saddle points
b) strategies
c) Pay-offs
d) n player game
10. The total time required to complete all the job-sequencing problem is known as
a) idle time
b) processing time
c) elapsed time
d) processing time
1. Operation research, which is very powerful tool for ________.
a) Research
b) Decision Making
c) Operations
d) None of the above
2. Constraints in LPP model represent ________.
a) Limitations
b) Requirement
c) Balancing limitations and requirements
d) All of the above
3. 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
4. For solving an assignment problem, which method is used ?
a) British
b) American
c) German
d) None of the above
5. The solution to a transportation problem with m' rows (supplies) & n columns (destination) is feasible if number of positive allocations are
a) m*n
b) m-n
c) m-n-1
d) m+n-l
6. When total supply doesn't match with total demand ________. case exists a transportation problem.
a) unbalanced
b) alternate optimal solution
c) degeneracy
d) none of the above
7. Floats for critical activities will be always ________.
a) zero
b) backward
c) > 1
d) none of the above
8.The two types of costs involved in the process of crashing in a project are costs.
a) direct and indirect
b) partial and full
c) measurable and non-measurable
d) none of these
9. The various courses of actions available to each player are called as
a) Saddle points
b) strategies
c) Pay-offs
d) n player game
10. The total time required to complete all the job-sequencing problem is known as
a) idle time
b) processing time
c) elapsed time
d) processing time
Q.1 B) Match the following (Any Seven) (7)
Group A
Group B
1 Network scheduling
a) Marketing. Finance
2. Application of OR
b) PERT and CPM
3. Linear programming
c. Worker's allocation
4 Assignment problem
d) Quantitative in nature
5 OR techniques
e. Maximizing minimizing objective function
6. MODI method
f) No of columns to of rows
7. Add dummy row
g) At the start
8. Crash Cost per day
h) Feasible solution
9. Pure strategy game
1) Cost slope
10. A job with smallest processing time on machine A is placed
j) Saddle point exits
Group A
Group B
1 Network scheduling
a) Marketing. Finance
2. Application of OR
b) PERT and CPM
3. Linear programming
c. Worker's allocation
4 Assignment problem
d) Quantitative in nature
5 OR techniques
e. Maximizing minimizing objective function
6. MODI method
f) No of columns to of rows
7. Add dummy row
g) At the start
8. Crash Cost per day
h) Feasible solution
9. Pure strategy game
1) Cost slope
10. A job with smallest processing time on machine A is placed
j) Saddle point exits
Ans:
Group A
Group B
1 Network scheduling
b) PERT and CPM
2. Application of OR
a) Marketing. Finance
3. Linear programming
e) Maximizing minimizing objective function
4 Assignment problem
c) Worker's allocation
5 OR techniques
d) Quantitative in nature
6. MODI method
h) Feasible solution
7. Add dummy row
f) No of columns to of rows
8. Crash Cost per day
i) Cost slope
9. Pure strategy game
j) Saddle point exits
10. A job with smallest processing time on machine A is placed
g) At the start
Group A | Group B |
1 Network scheduling | b) PERT and CPM |
2. Application of OR | a) Marketing. Finance |
3. Linear programming | e) Maximizing minimizing objective function |
4 Assignment problem | c) Worker's allocation |
5 OR techniques | d) Quantitative in nature |
6. MODI method | h) Feasible solution |
7. Add dummy row | f) No of columns to of rows |
8. Crash Cost per day | i) Cost slope |
9. Pure strategy game | j) Saddle point exits |
10. A job with smallest processing time on machine A is placed | g) At the start |
April 2024
Q1 (A) Multiple choice questions (Attempt Any 8): (8)
Click Here for Solution
1. A BFS of a LPP is said to be _______ if at least one of the basic variables is zero
a) Degenerated
b) Non-degenerated
c) Infeasible
d) Feasible
2 . For solving an assignment problem, which method is used?
a) Hungarian
b) American
c) German
d) Italian
3. A feasible solution is called a basic feasible solution if the number of non-negative allocations is equal to _______.
a) m-n+1
b) m-n-1
c) m-n-1
d) m+n-1
4. Which method is an iterative procedure for solving LPP in a finite number of steps
a) Simplex algorithm
b) Simplex method
c) slack method
d) M-method
5. An objective function is maximized when it is a ________ function.
a) Profit
b) passive
c) cost
d) time
6. In an assignment problem involving 5 workers & 5 jobs, the total number of assignments possible is
a) 15
b) 10
c) 5
d) 20
7. is known as the time by which activity completion time can be delayed without affecting the start of succeeding activities,
a) Total float
b) interfering float
c) independent float
d) Free float
8. The probability of a normal curve is ________
a) 60%
b) 70%
c) 50%
d) 55%
9. What is the probability of project completing in 55 days if the expected project completion time is 47 days & table value is :(+0.4890)
a) 98.90%
b) 99%
c) 90%
d)98%
10. What is the total idle time if jobs are processed on 2 machines and idle time on machine A is 11 and on machine B is 15.
a) 25
b) 26
c) 23
d) 24
1. A BFS of a LPP is said to be _______ if at least one of the basic variables is zero
a) Degenerated
b) Non-degenerated
c) Infeasible
d) Feasible
2 . For solving an assignment problem, which method is used?
a) Hungarian
b) American
c) German
d) Italian
3. A feasible solution is called a basic feasible solution if the number of non-negative allocations is equal to _______.
a) m-n+1
b) m-n-1
c) m-n-1
d) m+n-1
4. Which method is an iterative procedure for solving LPP in a finite number of steps
a) Simplex algorithm
b) Simplex method
c) slack method
d) M-method
5. An objective function is maximized when it is a ________ function.
a) Profit
b) passive
c) cost
d) time
6. In an assignment problem involving 5 workers & 5 jobs, the total number of assignments possible is
a) 15
b) 10
c) 5
d) 20
7. is known as the time by which activity completion time can be delayed without affecting the start of succeeding activities,
a) Total float
b) interfering float
c) independent float
d) Free float
8. The probability of a normal curve is ________
a) 60%
b) 70%
c) 50%
d) 55%
9. What is the probability of project completing in 55 days if the expected project completion time is 47 days & table value is :(+0.4890)
a) 98.90%
b) 99%
c) 90%
d)98%
10. What is the total idle time if jobs are processed on 2 machines and idle time on machine A is 11 and on machine B is 15.
a) 25
b) 26
c) 23
d) 24
Q1 (B) True or false (Attempt Any 7) operation: (7)
i. concerned with using scientific approach i.e. logical reasoning to solve problems for the management by ensuring optimum utilization of resources
Ans: TRUE
Linear programming is indeed concerned with using a scientific approach (logical reasoning) to solve problems for management by ensuring optimal utilization of resources. It's a mathematical method to find the best outcome (maximum profit, minimum cost, etc.) considering constraints.
ii. Any change in the constraint inequalities will have a proportional change in the objective function
Ans: FALSE
Changes in constraint inequalities won't necessarily result in a proportional change in the objective function. The relationship between constraints and the objective function is linear, but the impact of a change depends on the specific constraints and objective function being optimized.
iii. In graphical method, infeasibility happens we cannot find feasible region.
Ans: TRUE.
In the graphical method of LP, infeasibility occurs when there's no intersection between the constraint lines, indicating no feasible region that satisfies all constraints simultaneously.
iv. Graphical method can be used when the number of decision variable at two
Ans: FALSE
The graphical method can be used for problems with more than two decision variables, although it becomes cumbersome to visualize as the number of variables increases. For higher dimensions, the simplex method is a more efficient solution technique.
V An artificial variable is a fictitious variable in LPP problems.
Ans: TRUE Artificial variables are fictitious variables introduced in the simplex method (a common LP technique) to convert an infeasible LP problem into a feasible one for initial calculations. They are eventually removed from the optimal solution.
vi. Surplus variables represent an excess amount of resources utilize
Ans: TRUE Surplus variables represent the unused amount of resources (slack) in a constraint. They are non-negative in the optimal solution and indicate how much a constraint can be relaxed without affecting the objective function.
vii . When the number of lines is not equal to size of matrix the solution is optimum.
Ans: FALSE The number of lines (constraints) not being equal to the size of the matrix doesn't guarantee an optimal solution. There are specific conditions for optimality in LP, and this statement doesn't provide a sufficient criterion.
viii. There are two types of techniques available to find the initial basic feasible solution.
Ans: TRUE There are two main methods to find the initial basic feasible solution in the simplex method: the Northwest corner method and the least-cost method (also known as Vogel's approximation method). Both methods provide a starting point for the iterative optimization process.
ix. The network can have one or more start node and end node.
Ans: TRUE A network in LP (network simplex method) can have one or more source nodes (representing starting points with available resources) and one or more destination nodes (representing goals to be achieved).
X. Pessimistic time is the shortest time period expected to complete the activity.
Ans: FALSE Pessimistic time refers to the longest expected time to complete an activity, not the shortest. It's a concept used in project management, particularly in PERT (Program Evaluation and Review Technique), to estimate project durations considering potential delays.
Elective: Operation Research (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Obj. Q
2019
April
2019
November
2022
November
2023
April
2023
November
2024
April
2024
November
2025
April
Elective: International Finance (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Obj. Q
2019
April
2019
November
2022
November
Solution
2023
April
2024
April
2024
November
Solution
2025
April
Elective: Brand Management (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Solution
Obj. Q
Solution
2019
April
2019
November
2023
April
2024
April
2024
November
Solution
2025
April
Solution
Elective: HRM in Global Perspective (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Solution
Obj. Q
Solution
2019
April
2019
November
2023
April
2024
April
2024
November
Solution
2025
April
Elective: Innovation Financial Service (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Solution
Obj. Q
Solution
2019
April
2019
November
2023
April
Solution
2024
April
2024
November
Solution
2025
April
Solution
Elective: Retail Management (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Solution
Obj. Q
Solution
2019
April
2019
November
2023
April
2024
April
2024
November
2025
April
Elective: Organizational Development (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Solution
Obj. Q
Solution
2019
April
2019
November
2023
April
2024
April
2024
November
Solution
2025
April
Elective: Project Management (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Solution
Obj. Q
Solution
2019
April
2019
November
Solution
2023
April
2024
April
2024
November
Solution
2025
April
Elective: International Marketing (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Solution
Obj. Q
Solution
2019
April
2019
November
2023
April
2024
April
2024
November
2025
April
Elective: HRM in Service Sector Management (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Solution
Obj. Q
Solution
2019
April
2019
November
2023
April
2024
April
2024
November
2025
April
Elective: Strategic Financial Management (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Solution
Obj. Q
Solution
2019
April
2019
November
2023
April
2024
April
2024
November
Solution
2025
April
Elective: Media Planning (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Solution
Obj. Q
Solution
2019
April
2019
November
2023
April
2024
April
2024
November
Solution
2025
April
Elective: Workforce Diversity (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Solution
Obj. Q
Solution
2023
April
2024
April
2024
November
2025
April
Elective: Financing Rural Development (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Solution
Obj. Q
Solution
2023
April
2024
April
2024
November
2025
April
Elective: Sport Marketing (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Solution
Obj. Q
Solution
2023
April
2024
April
2024
November
2025
April
Elective: HRM Accounting & Audit (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Solution
Obj. Q
Solution
2019
April
2019
November
2023
April
2024
April
2024
November
Solution
2025
April
Elective: Indirect Tax (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Solution
Obj. Q
Solution
2019
April
2019
November
2023
April
2024
April
Solution
2024
November
Solution
2025
April
Elective: Marketing of Non-Profit Organization (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Solution
Obj. Q
Solution
2019
April
Solution
2019
November
Solution
2023
April
Solution
2024
April
2024
November
Solution
2025
April
Elective: Indian Ethos in Management (CBCGS)
Year
Month
Q.P.
Link
IMP Q.
Obj. Q
2019
April
2019
November
2023
April
2024
April
2024
November
Solution
2025
April
i. concerned with using scientific approach i.e. logical reasoning to solve problems for the management by ensuring optimum utilization of resources
Ans: TRUE
Linear programming is indeed concerned with using a scientific approach (logical reasoning) to solve problems for management by ensuring optimal utilization of resources. It's a mathematical method to find the best outcome (maximum profit, minimum cost, etc.) considering constraints.
ii. Any change in the constraint inequalities will have a proportional change in the objective function
Ans: FALSE
Changes in constraint inequalities won't necessarily result in a proportional change in the objective function. The relationship between constraints and the objective function is linear, but the impact of a change depends on the specific constraints and objective function being optimized.
iii. In graphical method, infeasibility happens we cannot find feasible region.
Ans: TRUE.
In the graphical method of LP, infeasibility occurs when there's no intersection between the constraint lines, indicating no feasible region that satisfies all constraints simultaneously.
iv. Graphical method can be used when the number of decision variable at two
Ans: FALSE
The graphical method can be used for problems with more than two decision variables, although it becomes cumbersome to visualize as the number of variables increases. For higher dimensions, the simplex method is a more efficient solution technique.
V An artificial variable is a fictitious variable in LPP problems.
Ans: TRUE Artificial variables are fictitious variables introduced in the simplex method (a common LP technique) to convert an infeasible LP problem into a feasible one for initial calculations. They are eventually removed from the optimal solution.
vi. Surplus variables represent an excess amount of resources utilize
Ans: TRUE Surplus variables represent the unused amount of resources (slack) in a constraint. They are non-negative in the optimal solution and indicate how much a constraint can be relaxed without affecting the objective function.
vii . When the number of lines is not equal to size of matrix the solution is optimum.
Ans: FALSE The number of lines (constraints) not being equal to the size of the matrix doesn't guarantee an optimal solution. There are specific conditions for optimality in LP, and this statement doesn't provide a sufficient criterion.
viii. There are two types of techniques available to find the initial basic feasible solution.
Ans: TRUE There are two main methods to find the initial basic feasible solution in the simplex method: the Northwest corner method and the least-cost method (also known as Vogel's approximation method). Both methods provide a starting point for the iterative optimization process.
ix. The network can have one or more start node and end node.
Ans: TRUE A network in LP (network simplex method) can have one or more source nodes (representing starting points with available resources) and one or more destination nodes (representing goals to be achieved).
X. Pessimistic time is the shortest time period expected to complete the activity.
Ans: FALSE Pessimistic time refers to the longest expected time to complete an activity, not the shortest. It's a concept used in project management, particularly in PERT (Program Evaluation and Review Technique), to estimate project durations considering potential delays.
Elective: Operation Research (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. | |||
Obj. Q | |||
2019 | April | ||
2019 | November | ||
2022 | November | ||
2023 | April | ||
2023 | November | ||
2024 | April | ||
2024 | November | ||
2025 | April |
Elective: International Finance (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. | |||
Obj. Q | |||
2019 | April | ||
2019 | November | ||
2022 | November | Solution | |
2023 | April | ||
2024 | April | ||
2024 | November | Solution | |
2025 | April |
Elective: Brand Management (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. | Solution | ||
Obj. Q | Solution | ||
2019 | April | ||
2019 | November | ||
2023 | April | ||
2024 | April | ||
2024 | November | Solution | |
2025 | April | Solution |
Elective: HRM in Global Perspective (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. | Solution | ||
Obj. Q | Solution | ||
2019 | April | ||
2019 | November | ||
2023 | April | ||
2024 | April | ||
2024 | November | Solution | |
2025 | April |
Elective: Innovation Financial Service (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. | Solution | ||
Obj. Q | Solution | ||
2019 | April | ||
2019 | November | ||
2023 | April | Solution | |
2024 | April | ||
2024 | November | Solution | |
2025 | April | Solution |
Elective: Retail Management (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. | Solution | ||
Obj. Q | Solution | ||
2019 | April | ||
2019 | November | ||
2023 | April | ||
2024 | April | ||
2024 | November | ||
2025 | April |
Elective: Organizational Development (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. |
|
| Solution |
Obj. Q |
|
| Solution |
2019 | April | ||
2019 | November | ||
2023 | April | ||
2024 | April | ||
2024 | November | Solution | |
2025 | April |
|
Elective: Project Management (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. | Solution | ||
Obj. Q | Solution | ||
2019 | April | ||
2019 | November | Solution | |
2023 | April | ||
2024 | April | ||
2024 | November | Solution | |
2025 | April |
Elective: International Marketing (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. | Solution | ||
Obj. Q | Solution | ||
2019 | April | ||
2019 | November | ||
2023 | April | ||
2024 | April | ||
2024 | November | ||
2025 | April |
Elective: HRM in Service Sector Management (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. | Solution | ||
Obj. Q | Solution | ||
2019 | April | ||
2019 | November | ||
2023 | April | ||
2024 | April | ||
2024 | November | ||
2025 | April |
Elective: Strategic Financial Management (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. | Solution | ||
Obj. Q | Solution | ||
2019 | April | ||
2019 | November | ||
2023 | April | ||
2024 | April | ||
2024 | November | Solution | |
2025 | April |
Elective: Media Planning (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. | Solution | ||
Obj. Q | Solution | ||
2019 | April | ||
2019 | November | ||
2023 | April | ||
2024 | April | ||
2024 | November | Solution | |
2025 | April |
Elective: Workforce Diversity (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. | Solution | ||
Obj. Q | Solution | ||
2023 | April | ||
2024 | April | ||
2024 | November | ||
2025 | April |
Elective: Financing Rural Development (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. |
|
| Solution |
Obj. Q |
|
| Solution |
2023 | April | ||
2024 | April | ||
2024 | November | ||
2025 | April |
|
Elective: Sport Marketing (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. |
|
| Solution |
Obj. Q |
|
| Solution |
2023 | April | ||
2024 | April | ||
2024 | November | ||
2025 | April |
|
Elective: HRM Accounting & Audit (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. | Solution | ||
Obj. Q | Solution | ||
2019 | April | ||
2019 | November | ||
2023 | April | ||
2024 | April | ||
2024 | November | Solution | |
2025 | April |
Elective: Indirect Tax (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. | Solution | ||
Obj. Q | Solution | ||
2019 | April | ||
2019 | November | ||
2023 | April | ||
2024 | April | Solution | |
2024 | November | Solution | |
2025 | April |
Elective: Marketing of Non-Profit Organization (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. | Solution | ||
Obj. Q | Solution | ||
2019 | April | Solution | |
2019 | November | Solution | |
2023 | April | Solution | |
2024 | April | ||
2024 | November | Solution | |
2025 | April |
Elective: Indian Ethos in Management (CBCGS) | |||
Year | Month | Q.P. | Link |
IMP Q. | |||
Obj. Q | |||
2019 | April | ||
2019 | November | ||
2023 | April | ||
2024 | April | ||
2024 | November | Solution | |
2025 | April |
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