Manufacturing and Industrial Engineering (GATE Mechanical Engineering): Questions 26 - 29 of 62

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Question number: 26

» Manufacturing and Industrial Engineering » Production and Control » Production Planning

Appeared in Year: 1995

Match List-Ⅰ List-Ⅱ▾

Question

Match the following:
List-Ⅰ (Problem) List-Ⅱ (Techniques)

(A)

computer assisted layout

(i)

CRAFT

(B)

scheduling

(ii)

Johnson’s rule

(C)

JIT

(iii)

kanbans

(D)

simulation

(iv)

Monte Carlo

Choices

Choice (4) Response
  • (A)
  • (B)
  • (C)
  • (D)

a.

  • (i)
  • (ii)
  • (iii)
  • (iv)

b.

  • (iv)
  • (i)
  • (iii)
  • (ii)

c.

  • (iii)
  • (ii)
  • (iv)
  • (i)

d.

  • (ii)
  • (iv)
  • (iii)
  • (i)

Question number: 27

» Manufacturing and Industrial Engineering » Engineering Materials » Structure and Properties of Engineering Materials

Appeared in Year: 1993

MCQ▾

Question

In ultrasonic machining process, the material removal rate will be higher for materials with

Choices

Choice (4) Response

a.

Higher toughness

b.

Higher ductility

c.

Higher fracture strain

d.

Lower toughness

Question number: 28

» Manufacturing and Industrial Engineering » Operation Research » Inear Programming

Appeared in Year: 1996

MCQ▾

Question

If at the optimum in a linear programming problem, a dual variable corresponding to a particular primal constraint is zero, then it means that

Choices

Choice (4) Response

a.

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

b.

The objective function is unbounded

c.

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

d.

The problem is degenerate

Question number: 29

» Manufacturing and Industrial Engineering » Metal Casting » Riser and Gating Design

Appeared in Year: 1998

MCQ▾

Question

Which one of the following forecasting techniques is not suited for making forecasts for planning production schedules in the short range?

Choices

Choice (4) Response

a.

Moving average

b.

Exponential moving average

c.

Regression analysis

d.

Delphi

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