AbSTRACT
This research work is based on the construction of
control chart for quality characteristics of Coke liquid (Sodium content, Sugar
content and Volume) which may be used for control of future products of the
Coca-Cola Company. Secondary data collected from Coca- Cola Company, Idokpa,
Benin City Plant was analysed using Control Chart for process variability and
process average. Through the application of statistical Quality Control
technique, the product quality was examined and process control was established.
The results of the analysis show that both the process variability (that is
Standard deviation and Range) and the process mean () are under Statistical Control in all the three Quality
characteristics considered. The Statistical Quality Control (SPC) technique is
a very useful tool for checking the quality and standard of a production
process. Thus, it is used to confirm the quality level of the production
process in the Coca-Cola Company.
TABLE OF CONTENTS
Title page
Certification
Dedication Acknowledgement Abstract
Table of Contents
CHAPTER ONE
INTRODUCTION
1.1
Background of Study 1
1.2
Statement of Problem
1.3
Justification for the Study
1.4
Scope of the Study
1.5
Aim and Objectives
1.6
Limitation of the Study
1.7 Definition
of terms
CHAPTER TWO
2.1 LITERATURE REVIEW
CHAPTER THREE
RESEARCH METHODOLOGY
3.1 Data Sources and Limitations
3.2 Method of analysis 3.2.1 S-Chart 3.2.2 R-Chart 3.2.3 - Chart 3.3 Basic Assumptions of Control Chart
CHAPTER FOUR
DATA ANALYSIS AND ANALYSIS
4.1 Introduction
4.2 Construction of Control Chart for Coke Liquid Volume.
4.2.1
Construction for control chart for process variability
4.2.1a The Process Standard Deviation
4.2.1b The Process Range.
4.2.2 Construction Of Control Chart for Process Average.
4.3 Construction of Control Chart for Sugar Content.
4.3.1 Construction of Control Chart for Process Variability
4.3.1a Process Standard deviation
4.3.1b
The process Range
4.3.2 Construction of Control Chart For Process Average
4.4
Construction of Control Chart for Sodium Content
4.4.1 Construction of Control Chart for process variability
4.4.1a
The Process Standard Deviation
4.4.1b
The Process Range
4.4.2
Construction of Control Chart for Process Average
4.5
Normality test
4.6
Constant Variance Test
4.6.1
Computation of Constant Variance Test for the Coke Liquid Volume
4.6.2
Computation of Constant Variance Test for the Coke Liquid Sugar
4.6.3
Computation of Constant Variance Test for the Coke Liquid Sodium
CHAPTER FIVE
5.1 Summary
5.2 Conclusion
5.3 Recommendation
