LAB 4

FAKULTI TEKNOLOGI KEJURUTERAAN

MEKANIKAL DAN PEMBUATAN
UNIVERSITI TEKNIKAL MALAYSIA MELAKA
BMMP 2333 QUALITY CONTROL (KAWALAN KUALITI)

LAB REPORT 4

CONTROL CHART FOR VARIABLE AND ATTRIBUTES

INSTRUCTOR’S NAME TS. DR. AMIR HAMZAH/ TS. DR ROHANA ABDULLAH/ EN. SALLEH

STUDENT’S NAME MATRIX NO:

S1. SYAHIRA BINTI A. KADIR B092010258
S2. SITI NAZIRAH BT PONINGIN B092010202
S3. RABIATUL ADAWIYAH BINTI NAZIR B092010019
S4. MUHAMMAD AMIRUL AMIN BIN SHAFIE B092010302

ASSESSEMENT RUBRICS
ASSESSMENT MARK GIVEN MARKS
TASK/ITEMS ALLOCATION S1 S2 S3 S4 S5
1. Procedure (Ability to
understand and use the 5
data given)
2. Work Process (Ability
to provide process 10
flow)
3. Work Process (Ability 10
to show data)
4. Outcome (Results) 50
5. Outcome (Discussion) 10
6. Outcome (Conclusion) 10
7. Discipline (Safety
Regulations, 5
Attendance and attire)
TOTAL MARKS 100

Approved By: ………………………………………………..…..

(Instructor’s Signature & Stamp)

Date: …………………………………………….........
LAB REPORT

Procedure (Ability to understand and use the data given)

➢ Each group have been provided with samples of marbles , samples of nuts, digital Vernier
caliper and gauge go-no go.
➢ We have to do a variable control chart and attribute control chart
➢ For variable control chart, we take 10 samples sizes for 20 subgroups marbles.
➢ The marble diameter was measured and the data was collected and do a control chart
➢ Find the cause and take corrective action to make a perfect variable chart
➢ For attribute control chart we use gage go-no-go. Take 10 samples sizes for 20 subgroups
from the box given.
➢ All sample of nuts was examinate using gage go-no-go.
➢ Observed the nuts is approved or what and do attribute control chart using the given set

Work Process (Ability to provide process flow)

Work Process (Ability to show data)
i. Recording format of data required for Part A

SET 3 (Unit: mm)

X1 X2 X3 X4 X5 𝐗̅ ̅
𝑹
1 15.01 15.04 14.95 14.85 15.35 15.04 0.5
2 15.14 15.85 15.99 15.37 15.55 15.58 0.85
3 15.29 15.83 15.92 15.55 14.99 15.516 0.93
4 15.39 15.83 15.92 15.55 14.99 15.536 0.93
5 15.43 15.64 15.63 15.53 14.98 15.442 0.66
6 15.54 15.80 15.62 15.65 14.99 15.52 0.81
7 15.65 15.85 15.99 15.37 15.55 15.682 0.62
8 15.79 15.83 15.92 15.55 14.99 15.616 0.93
9 15.87 14.78 16.02 15.24 14.91 15.364 1.24
10 15.66 15.49 15.36 15.98 15.82 15.662 0.62
11 15.75 15.52 15.47 15.87 15.81 15.684 0.4
12 15.94 15.65 15.58 15.76 15.01 15.588 0.93
13 15.28 15.42 15.39 15.23 15.93 15.45 0.7
14 15.19 14.74 16.62 15.14 15.91 15.52 1.88
15 16.09 15.26 14.91 14.35 15.87 15.296 1.74
16 15.18 14.98 15.18 14.96 15.86 15.232 0.9
17 15.27 15.34 15.23 14.97 14.84 15.13 0.5
18 15.66 15.49 15.36 15.98 15.82 15.662 0.62
19 15.62 15.26 15.04 15.21 15.87 15.4 0.83
20 15.62 15.76 15.64 15.21 15.67 15.58 0.55
Total 309.5 17.14
ii. Recording format of data required for Part B

X1 X2 X3 X4 X5 X6 X7 X8 X9 X10
1 OK OK OK OK OK OK OK OK OK OK
2 OK OK OK OK OK OK X X X OK
3 OK OK OK OK X X X OK OK OK
4 X OK OK OK OK OK OK OK OK X
5 X X X X X OK OK OK OK OK
6 OK X OK X OK OK OK OK OK OK
7 OK OK OK OK OK OK X X X OK
8 OK OK OK OK X X X OK OK OK
9 X OK OK OK OK OK OK OK OK X
10 OK OK OK OK OK OK OK OK OK OK
11 X X X X OK OK OK OK OK OK
12 X OK OK OK OK OK X OK OK OK
13 OK OK OK OK OK OK OK OK OK OK
14 OK OK OK OK OK OK X X X OK
15 OK OK OK OK X X X OK OK OK
16 X OK OK OK OK OK OK OK OK X
17 OK OK OK OK OK OK OK OK OK OK
18 X X X X OK OK OK OK OK OK
19 X OK OK OK OK OK X OK OK OK
20 OK OK OK OK X OK OK OK OK X

Subgroup Number Number Proportion

Number Inspected, n Nonconforming, np Nonconforming, p
1 10 0 0
2 10 3 0.3
3 10 3 0.3
4 10 2 0.2
5 10 5 0.5
6 10 2 0.2
7 10 3 0.3
8 10 3 0.3
9 10 2 0.2
10 10 0 0
11 10 4 0.4
12 10 2 0.2
13 10 0 0
14 10 3 0.3
15 10 3 0.3
16 10 2 0.2
17 10 0 0
18 10 4 0.4
19 10 2 0.2
20 10 2 0.2
Σn=200 Σnp=45 Σp=0.45
Outcome (Results)
i. Determine the correct types of chart used for Part A.

The chart used for Part A is X-bar R chart. This is because in an R chart can be used to analyze
the data in the development stage of a product or prior to a state of statistical control and from
a statistical basis a distribution of subgroup averages are nearly normal for groups of 4 or more.
In part A, 20 subgroup is used and 5 sample sizes inspected.

ii. Determine the correct types of chart used for Part B.

The chart used for Part B is P-Chart. This is because the P-Chart is used for data that consist of
the proportion of the number of occurrences of an event to the total number of occurrences. It
is used in quality to report the fraction or percent nonconforming in a product, quality
characteristic, or group of quality characteristics. In symbolic term to get Proportion
Nonconforming, p is
𝑛𝑝
𝑝=
𝑛

Where np is number nonconforming ang n is number inspected. In this part B, we used 20

subgroup numbers and 10 sample size as n, number inspected.

iii. Calculation of central line and control limits for Part A.

iv. Calculation of central line and control limits for Part B.

𝛴𝑛𝑝
𝑝̅ =
𝛴𝑛
45
=
200
= 0.225

𝑝̅ (1 − 𝑝̅ )
𝑈𝐶𝐿 = 𝑝̅ + 3√
𝑛

0.225(1 − 0.225)
= 0.225 + 3√
200
= 0.3136

𝑝̅ (1 − 𝑝̅ )
𝐿𝐶𝐿 = 𝑝̅ − 3√
𝑛

0.225(1 − 0.225)
= 0.225 − 3√
200
= 0.1364

v. Plotted the control chart Part A.

vi. Plotted the control chart Part B.

Outcome (Discussion)
Part A ( Variable Control Chart)

i. Opinion based on Plotted control chart Part A.

Based on our observation, the X-Chart is in control while the R-Chart was out of control. Due to that
we eliminated the variable that is out of control by finding a new range bar, R. Even after dinding the
new R bar, the R-chart is still out of control. The process is repeated until the R-chart is finally in
control.
 ii. Assume that the out of control point have an assignable causes, calculate the revised limit
and central line (IF APPLICABLE). Page 76

iii. As an quality engineer in manufacturing process, give your opinion based on the outcome
of section 4.0 Question iii.

The state of the control of the Part A is in control condition. This can make the individual
unit or service will be uniform. Then, the product capability is easily attained and the
trouble can be anticipated before it occurs. By referring the calculation and graph, the result
of LCL and UCL is suitable.

Part B ( Attribute Control Chart)

i. Give an examples application of each control charts for attributes (p-chart, np-chart, C Chart
and U chart) for manufacturing and non-manufacturing environments.

Applications in Applications in a
Manufacturing Non-Manufacturing
Industry Industry
P Charts Fractions of rejected Fractions of patients
car parts. readmitted to the
hospital.
NP Charts Number of defect of Number of students
the bottle cap. who failed the test.
C Charts Inspection needed of Number of accidents
the luggage bag. that occured in 2020.
U Charts Production number of Average number of
phones in 2021. corn harvest.
 ii. As an quality engineer in manufacturing process, give your opinion based on the outcome
of section 4.0 Question iii.

Based on the P-Chart plotted in part B, 3 points are out of upper control limit (UCL) which
are point 5, 11 and 18. Next point 1 is out from lower control limit (LCL). Therefore, the
process is unstable and necessary action should be taken to improve the process.

Outcome (Conclusion)
i. Write conclusion for Part A.

Based on our observations and calculations, we can determine which type of control chart variable
we can use in this lab. For the obtained data, we determined the central line and control limits. We
also plot the control chart form in order to obtain more information. All of our calculations were
included in our final result. We also clarified the control variable chart and learned all of the
specifications for doing a variable control chart.

ii. Write conclusion for Part B.

Based on our observations and calculations, we determined the type of control chart variable we
can use in this lab which is P-Chart. For the obtained data, we determined the central line and
control limits for the P-Chart. As we can observed from the P-Chart in part B, the P-Chart is out of
control and the process in unstable.

References
- hamzah, a. (2021). Quality Control For Engineering Technologist (2nd ed.). Alor Gajah, Melaka:
UTeM.

- np Control Charts. (2021). Retrieved 15 December 2021, from

https://www.spcforexcel.com/knowledge/attribute-control-charts/np-control-charts

- Hessing, T., & PV, R. (2021). Control Charts Study Guide - Six Sigma Study Guide. Retrieved 15
December 2021, from https://sixsigmastudyguide.com/control-charts-study-guide/

0
 FAKULTI TEKNOLOGI KEJURUTERAAN
QUALITY CONTROL (BMMP 2333)
RUBRIC FOR LAB ACTIVITY ASESSMENT
Lab No. / Name : Lab 4/ CONTROL CHART FOR VARIABLE AND ATTRIBUTES

1. Student 1: MUHAMMAD AMIRUL AMIN BIN SHAFIE Matrix No.: B092010302

2. Student 2: RABIATUL ADAWIYAH BINTI NAZIR Matrix No.: B092010019
3. Student 3: SYAHIRA BINTI A.KADIR Matrix No.: B092010258
4. Student 4:SITI NAZIRAH BINTI PONINGIN Matrix No.: B092010202

Course/Group / Section: …………………………………..

1st rank – WORST 2nd rank – POOR 3rd rank – SATISFIED 4th – GOOD 5th rank -
EXCELLENT

STUDENT STUDENT STUDENT STUDENT STUDENT

CRITERIA EVALUATION GIVEN MARK 1 2 3 4 5
Procedure (Ability to
Ability to use the apparatus given with
understand and use the 1 2 3 4 5 ×1
proper technique (5)
data given) (5)
Work Process (Ability
to provide process Ability to provide process flow (10) 1 2 3 4 5 ×2
flow) (10)

Recording format of data required for Part 1 2 3 4 5 ×1

A (5)
Work Process (Ability
to show data) (10)
Recording format of data required for Part 1 2 3 4 5 ×1
B (5)

Determine the correct types of chart used for

Outcome (Results) (50) 1 2 3 4 5 ×1
Part A(5)
 Determine the correct types of chart used for
1 2 3 4 5 ×1
Part B (5)

Calculation of central line and control limits

1 2 3 4 5 ×2
for Part A (10)

Calculation of central line and control limits

1 2 3 4 5 ×2
for Part B. (10)

Plotted the control chart Part A (10) 1 2 3 4 5 ×2

Plotted the control chart Part B (10) 1 2 3 4 5 ×2

Opininion based on Plotted control chart
1 2 3 4 5 ×1
Outcome (Discussion) Part A (5)
(10) Examples application of each control charts
1 2 3 4 5 ×1
for attributes (5)
Outcome (Conclusion) Write conclusion for Part A. 1 2 3 4 5 ×1
(10) Write conclusion for Part B. 1 2 3 4 5 ×1
Attendance (Punctuality) (2) YES/ NO 2
Discipline (5)
Safety regulation (2) & Attire (1) OK/ NOT GOOD 3

Total Marks (100)

Total Marks (5 %)

Examiner Comments:

Instructor Signature: Date:

…………………………………………… ………………………..
Name: