ABSTRACT

Surely, there is no production which is so good that batches of products made at the same time and at different time will he alike. As sucli, variations arc inevitable. These variations in the products could be traced to random (chance) causes and assignable causes. Hence producers are iiccd with the challenges of controlling these variations during jroduction. This study is aimed at construction of control cilari:s to check and control the quality characteristics of Kit X soap which will lead to improvement of the product. The data for this work is a secondary data. The assumptions underlying the construction of control chart were tested for. These assumptions include normality, constant variance and randomness. Chi Square test for nonnality was used for normality while median test and hiartlett test were used to test for randomness and constant variance respectively. In justification of assumptions, it was discovered that data for the entire quality characteristic were not normally distributed. Test showed that the data were randomly distributed and has a constant variance. Using the Statistical Quality Control Technique, the process variability and process average were checked using R chart and X bar chart respectively. On the average it was i iscovcrccl that thlC company s operatlng under control.

TABLE OF CONTENTS

Title page 1

Declaration

Certification ifi

Dedication iv

Acknowledgement V

Table of cc)rltent.s vi

List of Tables vii

Abstract

CHAPTER ONE

1.0 Introduction 1

1.1 Historical Background of 3. Udeagbala Holding Nig. Ltd: 2

1.2 Statement of the Problem 3

1.3 Objectivesofthe Study 4

1.4 Statement of 1-lypothesis 5

1.5 Significance of the Study 6

CHAPTER TWO

2.0 Literature Review 7

2.1 Introduction 7

2.2 Importance of Statistical Quality Control (SQC) 12

CHAPTER THREE

3.0 Research MethodoloT 15

3.1 Sources of Data 15

3.2 Sampling Procedure 15

3.3 Method of Datn Analysis 15

3.4 Test of Assumptions 18

3.4. iThe Normality Assumption 18

3.4.2 The Randomness Assumption 19

3.4.3 Constant Variance Assumption 20

CHAPTER FOUR

4.0 Data Analysis and Interpretations 22

4.1 Justification of Assumptions 22

4.1.1 Normality Test 22

4.1.2 Randomness Assumption 26

4.1.3 Constant Variance Assumption 28

4.2 Process Charts (XChart and RChart) 31

4.2.1 Control Chart, for Weight. 31

CHAPTER FIVE

5.1 Summary

5.2 Recommendation

5.3 Conclusion

Appendix

References