Materials handling and quality assurance ( Operations Management )

1. Materials Handling and
Quality Assurance
Sudharman Raman
Assistant Professor
CBS Kanjikode

2. Intro
• Material Handling is a continues process to
improve the speed and safety of works by
controlling the costs.
• Quality assurance is the systematic monitoring
and evaluation of the production process or
service and facility in order to maximize the
profit.

3. Material Handling
• Objectives
Increase productivity of labour and machinery
Full utilization of plant capacity
Reduction of cost of production
Reduction of inventory for better use of
working capital
Less wastage, spoilage and damage
Reduction in accidents and increase safety

4. Principles of MH
1. Planning Principle
2. System principle / Integration principle
3. Material flow principle
4. Simplification principle
5. Gravity principle
6. Space utilization principle
7. Unit size principle
8. Safety principle
9. Equipment selection principle
10. Mechanization/automation principle
11. Standardization principle
12. Flexibility principle
13. Dead – weight principle
14. Motion Principle
15. Obsolescence principle
16. Capacity principle

5. Material Handling Equipment
Hand truck
Pulley blocks and pneumatic or vacuum lifts
Chutes
Conveyors
Forklift truck
Overhead electric Cranes
Pipelines
Automatic guided vehicle system(AGVS)
Automatic transfer devices

6. Quality Assurance Cont..
Statistical Quality Control
Control Charts
Acceptance Sampling
Types of Sampling Plans

7. Statistical Quality Control
Process control is nothing but monitoring of the various physical
variables operating on the materials and the correction of
variable when they deviate from the previously established
norms.
a) Variations
The small difference between the written down specifications
and the actual specification.
 Chances of possible causes
 Assignable causes :

8. Difference
Chance Causes Assignable causes
1. Natural / inherent in the process Unnatural/due to causes that can be
traced
2.All causes taken together give variation A single assignable cause can lead to
substantial variation
3.Slight variation in the machine, which
could be inherent in it
Faulty machine set up can give rise to
variation
4.Lack of human perfection in setting the
instrument
Lack of human perfection in reading the
instrument
5.Cannot be economically eliminated Once detected, can be eliminated

9. b) Monitoring the process
Measure the variables operating on the raw
material.
Measuring the characteristics of the output
product.
c) Specification limits for output
d) Control limits
e) Central tendency and dispersion
(Accuracy and precision)

10. Control Charts
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
7.05mm Mean 7.00mm 6.96mm
USL
CL
LSL

11. Acceptance Sampling
( Random Sampling)
A technique that uses statistical inspection
methods to evaluate the quality of a complete
batch.
!. Inspection of RM
!!. Inspection of FG

12. Types of Sampling Plans
1. The single sampling plan
The inspection results of a single sample size decide
whether to accept or reject the complete lot.
2. The double sampling plan
The inspection results of two sample sizes are used to
decide whether to accept or reject the complete lot.
3. Multiple sampling plan
When more than two sample were used for deciding
theacceptance or rejection of a lot, when number of
samples increases, the complexity of implementation
increases

13. Thank You