Test: Sampling, JIT, TQM & Graphical Method - 1 - Mechanical Engineering MCQ

0.16, 0.24

0.12, 0.28  

0.08, 0.32

None of these 

Bellman  

Dantzig  

Kulm    

Van Neumann

400  

1200  

3600  

4800 

Right hand side of the primal constraint can be altered without affecting the optimum solution  

Changing the right hand side of the primal constraint will disturb the optimum solution  

The objective function is unbounded  

The problem is degenerate 

Maximum capacity of the machine

Mean value of the measured variable  

Lead time of the process  

Maximum deviation of the measured variables of the components

The LPP has a unique optimal solution  

The LPP is infeasible  

The LPP is unbounded  

The LPP has multiple optimal solutions. 

Produce a definite volume of work per minute  

Perform definite number of operations  

Produce job at a definite spectrum of speed  

Hold a definite spectrum of tolerances and surface finish 

29    

38    

44    

75 

a

b

c

d

Of less than or equal to, type.    

Of greater or equal to, type.  

In the form of equations.  

Some constraints are of less than equal to, type and some of greater than equal to, type.

Performance curve

Operating ch aracteristic curve  

S-curve  

Learning cur ve

a

b

c

d

Consumers’ risk and producers' risk

Probability of acceptance  and probability of rejection  

Percentage of defective and  probability of acceptance  

Average outg oing qua lity and probability of acceptance 

Satisfy the problem constraints

Optimize the objective function  

Satisfy the problem constraints and non-negativity restrictions  

Satisfy the non-negativity restrictions

Both A and R are individually true and R is the correct explanation of A  

Both A and R are individually true but R is not the correct explanation of A  

A is true but R is false  

A is false but R is true