ABSTRACT
This
project work is designed to give an insight into the application of statistical
quality control in the building products industries in order to help
manufacturers understand the importance of applying statistical techniques in
controlling quality products. In
addition to make consumers have faith in standard quality of products they buy.
It must also be remembered that goods
are competitive, for producers to excel in the competitive market; their
products must match in quality with those of their counterparts.
This project work has seemingly and
exhaustively x-rays the quality of Emenite roofing products in order to check why
products are not meeting customers expectations. From the analysis using statistical quality
control procedures that discovered that corrugated sheets staged from their
means which consequently resulted from the process average being out of
control.
Generally, this research work is a
bird eye new of what quality control techniques can do for checking, monitoring
and enhancing products quality.
TABLE OF CONTENTS
Certification
Dedication
Acknowledgement
Abstract
Table of
contents
CHAPTER
ONE: INTRODUCTION
1.1
Background of the study
1.2
Purpose of the study
1.3
Significance of the study
1.4
Statement of research problem
1.5
Research hypothesis
1.6
Scope of the study
1.7
Definition of key terms
CHAPTER
TWO: LITERATURE REVIEW
2.1
Introduction
2.2
Meaning of statistical quality control
2.3
Origin of quality control
2.4
Statistical techniques in quality control
2.5
Important of statistical quality control officer
CHAPTER
THREE
3.1
Introduction
3.2
Data collection method
3.3
Population and sample
3.4
Technique for analysis
CHAPTER
FOUR: PRESENTATION, ANALYSIS AND INTEPRETATION OF DATA
4.1
Introduction
4.2
Quality control chart
4.3
Laboratory record of measurement of flatsheets
4.4
Laboratory record of measurement of corrugated sheet
4.5
To check process average & variability for that
sheet
4.6
To check process average & variability for
corrugated
4.7
Determination of the process standards
CHAPTER FIVE: SUMMARY,
CONCLUSION AND RECOMMENDATION
5.1
Summary
5.2
Conclusion
5.3
Recommendation
References
CHAPTER ONE
INTRODUCTION
1.1 BACKGROUND OF THE STUDY
Emenite
Limited Enugu a member of the Beligian Etex Group started operation in 1963
under the name “Turners Asbestos Cement Company Nigeria Limited: The company
was incorporated in 1961 with registration number RC 2712.
The group came to Nigeria with
the establishment of her first of four companies in Ikeja, Lagos, Nigeria
Limited. The other three are Eternite
Limited, Sapele, Giwarite Limited, Kano
and Emenite Limited, Enugu.
Emenite Limited after being
established have to following as shareholders.
Turners
& Newall Ltd - 80%
Government
of Eastern Nigeria - 20%
As a result of the indigenization
decree of 1973, the shareholders of the company changed as follows
Turners & Newall Ltd - 60%
Government of Eastern
Nigeria - 40%
With the
name of the company changing to Turners Building Product (Emene) Limited.
Due to dwindling fortunes of the
company, in March 24, 1988 Turners and Newall Ltd divested its interest in the
company and transferred 51% of its shareholding to Eteroutremer Societe Anonyme
of Belgium (now Etex Group S.A) and the balance of 49% went to the then Anambra
and Imo State; now Anambra, Enugu, Imo, Abia and Ebonyi States. As a result of the new shareholding
arrangement, the company changed its name to Emenite Limited as its presently
known.
Emenite Limited after being
established in 1963 rolled out her first finished sheets in December that
year. The company has a total workforce
as at its establishment of 67 staff, its second machine was installed in 1979
while the third was installed in 1983.
From a workforce of 67 to 225 staff, from one shift machine to three,
from 14,000 tonnes of roofing and ceiling sheets to 50,000 tonnes per
year. The company has continued to grow
tremendously.
The company has made considerable
progress in terms of product development in the market. It operates in the roofing and ceiling
market, its range of products include: Bigsix & standard ultimate
corrugated sheets of different colours (Grey, Red & Green), prestige
concrete tile, Emcee flat sheet, duraceile decorative ceiling, Emlux decorative
ceiling as well as Qualitile decorative ceiling and a new product called
duratile. These products are sold
through a wide range of distribution network located in such a place that they
will be close to project sites. Emenite
is 150 certified, 150 9002 in 1998, 180 9001 in 2002.
It is the company’s quality policy to
provide high quality building products to the markets. But much recently there have been complaints
from building and construction companies over the quality durability of her
products. It is in view of this problem
this research work is being undertaken.
1.2 PURPOSE
OF THE STUDY
Consumers
of goods and services rely on quality standard products displayed for
consumers. What is responsible for this
trend? Is statistical quality control
standard still made use of in industries?
This are what this research project intend to solve and make appropriate
recommendation.
The project research will
1. Determine
the process standards and establish the process capability
2. Check if the
process average and variability are under control in respect of the measurement
of flat sheet.
3. Check if the
process average and variability are under control in respect of the measurement
of corrugated sheets
4. Set up appropriate
control charts for monitoring the future output of the process.
1.3
SIGNIFICANCE
OF THE STUDY
The
significance of this research work is to provide information for the management
to fine – tune its quality policy concerning their products as obtained in this
analysis of this research work. This
will be of benefits t o the producers and consumers as well.
1.4 STATEMENT OF RESEARCH PROBLEM
There have been complaints and doubts that most
asbestos roofing sheets in recent times full short of required standard, also
whether established standardize are still maintained. This was as a result of reported cases of
easy damage and non-durable nature of these sheets.
In view
of this, the researcher intends to carry out this research using Emenite Limited
Enugu as a case study.
1.5 RESEARCH HYPOTHESIS
H0: The process is under control in respect of
the average and variability of the measurement of flat sheets.
H1: The
process is not under control in respect of the average and variability of the
measurement of flat sheets
H0: The
process is under control in respect of the average and variability of the
measurement of corrugated sheets
H1: The
process is not under control in respect of the average and variability of the
measurement of corrugated sheets.
1.6 SCOPE OF THE STUDY
The scope
of this study is limited to Emenite only in order to conclude the research work
at the assigned period and the findings will be used to infer on the industry.
1.7 DEFINITION OF KEY TERMS
VARIATION: This is a deviation from the normal
standard or condition
DATA: These
are sets of figures, raw information that is yet to be processed. e.g population data, employment data etc.
CONTROL CHARTS: It is
the graphical display of the actual measurement of the characteristic on a chart
showing limit which reflect the process capability on the particular quality
characteristics.
PROCESS CONTROL: This is
the act of observing the functions of each of the factors leading to the
production of goods on a continuous basis to ensure the process or means of
production are kept in optimum conditions.
PRODUCT CONTROL: Product
control is the act of measuring or observing different attributes of quality
specification of a product with the aim of ensuring that the product conform to
specification. This is done of taking a
sample from a batch of inspection lot with the aim of accepting or rejecting
it.
STATISTICAL QUALITY CONTROL: This
is the technique of sampling at every stage of production and statistical
inferences are taken about the variability of the product quality.
PROCESS CAPABILITY: This
is the mini9mum spread of specific measurement variation which will include
about 99.73% of all measurements from the process.
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