The level of technical effort devoted to quality control in the industries in Nigeria is quite low, very few firms carryout two controls 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, this research project looked into the taste of a particular 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 goods of 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 Nigerian bottling company production manual value one and the data was analyzed using quality charts and analysis of variance.
1.1 BACKGROUND OF THE STUDY
The Nigerian bottling company plc (NBC) was incorporated in November 1951, as a subsidiary of the A.G. Leventis group with the franchise to bottle and sell Coca-Cola products in Nigeria. From a humble beginning as a family business, the company has grown to become a predominant bottler of non-alcoholic beverage in Nigeria, responsible for the manufacture and sale of over 33 different Coca-Cola brands. Other popular brands of beverage produced by the company are Eva water, Five-Alive fruit juice and the newly introduced Burn energy drink. The company presently has 13 bottling facilities and over 80 distribution warehouse located across the country. Since production started, NBC PLC has remained the largest bottler of nonalcoholic beverages in the country in terms of sales volume, with about 1.8 billion bottles sold per year, making it the second largest market in African today, the company is part of Coca-Cola company’s largest anchor bottlers worldwide. CCHBC operates in 28 countries, serving 540 million consumers and selling over 1.3 billion unit cases of beverage annually. The company recently embarked on a restricting exercise to expand further its market share and growth profit. It invested in a new state of the art can filling and packing linear the Apapa plant. The plant has since begun to produce the first soft drink can that is wholly packaged in Nigeria. This is in addition to new bottling plant in Abuja. Investment in the upgrade of other manufacturing infrastructure, distribution and delivery facilities.Te company is governed by a stable nine member board of director comprising of very prominent individual who have excelled in different fields of endeavor within and outside Nigeria. the board is headed by Ambassador olusegun Apata while the management team is led by Mr. Ronald Ebeit,an expatriate professional. the authorizes share capital of the company is N750 million made up of 1.5billion ordinary shares of 50k per share out of which 1.308 ordinary shares of 50k each or N654,367 million is issued and fully paid. The share capital of the company grew from N487 million in 2003 to the present amount in the FYE 2006 through several scrip issues. majority of the shares is held by foreign investors comprising of Molino sot Drinks S.A(55.81%)and CCHBC service ltd.62%).thus only 33.59% is available to the public. shareholders fund has increase from N19.31 BILLION IN 2003 to N22.81 billion in 2007.
ADMINISTRATION
DEPARTMENT
QUALITY CONTROL DEPARTMENT
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, carbondioxide and water are being proportional erectly.
Water testing: To ensure that the water treatment equipment is operating correctly.
Testing of ingredience: Modification of chemicals and packaging materials are received to confirm 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 and industrial work.
In Management: Scientific management is the basically management on the basis of precise numerical information without using statistical aid such interpretations to fail to use one of the major tool of efficient management. The complementariness of modern industrial production and management makes it compulsory that management be furnish with statistical data as raw materials labour sales etc.
1.2 STATEMENT OF THE PROBLEM
1.3 SIGNIFICANCE OF THE STUDY
1.4 AIMS AND OBJECTIVES
The purpose of the study is to determine and identify if there has been significant difference in taste of manufactured product and also to protect producer from having their products containing low number of detective.
1.5 SCOPE OF THE STUDY
This work hopes to cover the following areas:
1.6 LIMITATIONS OF THE STUDY
1.7 RESEARCH QUESTIONS
The research questions gathered in this work includes:
1.8 STATEMENT OF THE HYPOTHESIS
Ho: There is no significant difference in taste and mixing irrespective of different locations.
HI: There is significant difference in taste and mixing irrespective of different locations.
1.9 DEFINITION OF TERMS
From this work, I am to deduce the following terms:
BENEFITS OF STATISTICAL PROCESS IN INDUSTRY
ROLE OF STATISTICAL PROCESS CONTROL
PRODUCTION CONTROL: It is the act of observing different attributes of quality specification of a product with the aim of ensuring that the product conforms to specifications.
ACTION LIMIT: These are the limits that tell us that the product will soon be out of control. These are upper control limit or lower control limit. But the product in these limits is in control except if they passes the limit.
WARNING LIMITS: These are the limits that tell the controller that the product will soon enter action limit, the warning limits are upper warning limit and lower warning limit.
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