ABSTRACT
The level of technical effort devoted to quality control in the industries in Nigeria is quite low, very few firms carry out two control measures in production that is, measurement by which risk international specification of ensuring that the product conforms to the specification . It was done by taking a sample rejecting the null hypothesis. Today, this is beginning to change in some industry like bottling companies, the research project looked into the taste of a particular 7up bottling company product to find out if there is significant different in taste and sugar mixing irrespective of different location . The related work done on this project provided some vivid point that can determine impressive bottling company performance, good quality control lab and protection of workers to avoid hazard in the industry. Among the major findings were the uses of statistical quality control in the industry. The statistical control in industry whether there is significant difference in taste and brix (sugar) mixing. The data was obtained from the quality control department and 7up bottling company production -manual volume one and the data was analyzed using quality control charts.
TABLE OF CONTENT
Title page
Approval page- – – – – – – – ii
Dedication- – – – – – – – iii
Acknowledgement- – – – – – – iv
Abstract- – – — – – – – – v
Table of content- – – – – – – vi
CHAPTER ONE
- Introduction- – – – – – – 1
- Historical background- – – – – 1
- Statement of problem- – – – – 4
- The significant if study – – – – – 5
- Aims and objective- – – – – – 6
- The scope of study and limitation- – – 6
- Limitation of study – – – – – 7
- Research questions – – – – – 7
- Statement of hypothesis- – – – – 8
- Definition of terms- – – – – — 8
CHAPTER TWO
2.0 Introduction- – – – – – – 11
2.1 Literature Review- – – – – – 11
CHAPTER THREE
- Methodology- – – – – – – 14
- data presentation – – – – – – 14
- method of data collection- — – – 15
- scope and limitation of the study- – – 16
- Method of data analysis- – – – – 16
CHAPTER FOUR
- Data analysis and interpretation- – – 17
4.1 Analysis 1 or Appendix 1- – – – 17
4.2 Analysis – – – – – – – 23
CHAPTER FIVE
5.0 Summary, Findings, Conclusion and recommendation- – – – – – – – – 32
5.1 Summary findings- – – – – – 32
5.2 Conclusions- – – – – – – 33
5.3 Recommendations- – – – – – 34
Reference- – – – – – – – 35
CHAPTER ONE
- INTRODUCTION
1.1 HISTORICAL BACKGORUND OF 7UP BOTTLING COMPANY
The company started bottling beverage in 1926. At about 1948, Mr. Abraham I; a Muslim met with some Hebrews who has franchise or right to bottle 7up, there after the chance to produce the product was bottled in Nigeria on 1st October 1960 (Independence day). It is a Multiplan entity comprising of Nine plant in Nigeria located at Ikeja, Abuja with it’s administrative head quarters located at IJORA Lagos.
However, the Abuja plant was founded in 1989. brand of product: 7up bottling company bottle has following drinks.
7up
Soda
Team
Mirinda orange
Pepsi
Mirinda soda
Mountain dew e.t.c.
ADMINISTRATION
i the General Manager
ii Departmental head
iii production manager
DEPARTMENT
i account department
ii Inventory
iii marketing department
iv sales Manager
v sales officers
iv sales supervisors
vii sales men and sales assistance.
QUALITY CONTROL DEPARTMENT
i water treatment sector
ii carbon dioxide
iii syrup room
iv Boiler room
v Laboratory
vi Line (production hall)
The seven up bottling company have quality control programmes focused on four view areas of plant operation.
PRODUCTION LINE TESTING: to ensure that the Individual limits such as the bottle washer, Mix processor, carbonator, fullers, cooling system are working efficiently and that the syrups, carbon dioxide and water are being proportional erectly.
WATER TESTING: To ensure that the water treatment equipment is operating correctly.
TESTING OF INGREDIENCE: Modification of chemical and packaging materials are received to conform Quality.
THE USES OF STATISTICS IN INDUSTRY
DECISION MAKING: the science of statistics deals with making decision based on observed data in the face of uncertainties, the scientific study and industrial work.
IN MANAGEMENT: scientific management is basically management on the basis of precise numerical Information without using statistical aid, such Interpretative fail to use one of the major tool for efficient management the complementariness of modern Industrial production and management makes it compulsory that management will be furnished with statistical data as raw material labour sales e.t.c.
