Car Maintenance Company Relational Database System Report

Exclusively available on Available only on IvyPanda® Made by Human No AI

Executive Summary

This report is on a proposed relational database system for a car maintenance company. The proposed relational database system is designed to track employee, customer, car and payment records of the company. The system is to be built using Microsoft Access relational database management system (RDBMS).

Therefore, the report highlights the need for a database system and includes the proposed design for a Microsoft Access database, which comprises organization processes, details on data inputs and information outputs, an Entity Relationship Diagram, a Data Dictionary, and possible report designs.

Introduction

As mentioned in the executive summary the relational database system is to be built using Microsoft Access. Relational database management systems (RDBMS) like Microsoft Access make information management for low and high volumes of data easy, safe and less costly compared to traditional book-keeping methods that are characterized by a lot of manual involvement and that take up a significant portion of office space.

Therefore, functional requirements (benefits) presented by the relational database system to the car maintenance company are that information management is going to be easy, the information will be safe and in effect the company is going to enjoy a reduced cost of operation.

The relational database for the car maintenance company comprises of four main tables namely Worker, Customer, Car and Payment. The Worker table tracks the company’s employee details, the Customers table tracks the company’s customer details, the Car table tracks the details of the cars serviced by the company and the Payment table tracks the payments made by customers to the company.

Input, process and output

The relational database is to be maintained by a database administrator who will be responsible for entering data into the database and querying the database for information.

The main input data is

  1. Employee details
  2. Customer details
  3. Car details
  4. Payment details

The main processes include:

  1. Tracking employee details
  2. Tracking customer details
  3. Tracking car details
  4. Determining the amount of work done in a given period
  5. Tracking payment details
  6. Tracking the earnings of the company
  7. Computing the company’s earnings for a given period
  8. Report generation

The main output and outcomes are:

  1. Reports on the amount of work done in a given period and the subsequent earnings accrued
  2. Reports on the amount of work to be done and its value.
  3. Customized reports that serve as invoices for customers
  4. Customized reports that serve as receipts for customers
  5. Contact lists for workers
  6. Contact list for customers

The first and second reports are generated from a query that extracts its data from the Car and Payment table. The third and fourth reports are based on a query that extracts data from the Customer, Car and Payment tables. The fifth report is based on a query extracting its data from the Worker table and the sixth report is based on a query extracting its data from the Customer table.

Entity-relationship diagram

The relational database for the car maintenance company comprises of four main entities, namely, Worker, Customer, Car and Payment. The following is the schema of the relational database:

Worker (Worker ID, Worker name, Contact NO, Expertness, Worker fare, Qualification)

Customer (Customer ID, FirstName, LastName, Street Address, Suburb, Post Code, Contact NO)

Car (Plate number, Make, Model, Colour, Year, Check-in time, Check-in date, Check-out time, Check-out date)

Payment (Invoice Number, Customer Name, payment Method, amount, Time of payment, Date of Payment)

Car_Worker ( Record ID, Plate Number, Worker ID)

The relation Car_Worker is a junction-table, which breaks down the many to many-to-many relationship that exists between the car and Worker relations.

The following is the entity relationship diagram for the proposed relational database system.

the entity relationship diagram for the proposed relational database system

Relationships and business rules

The main relationships between the entities can be shown in the following rules:

  1. One customer can bring in multiple cars to be serviced.
  2. One customer can make multiple payments.
  3. One worker can work on multiple cars
  4. One car can be worked on by multiple workers

These are the main business rules that will influence directly on the database design:

  1. The database administrator is in charge of the whole database. The database administrator is the only one mandated to make changes to the structure of the database and the data therein.
  2. For each worker in the company, the following details should be available: the workers name, contact number, expertness, fare and academic qualification. Additionally, the worker should be assigned an identification that is unique to him or her.
  3. For each customer the following details should be available: the customer’s first name, last name, street address, Suburb, postal code and contact number. Additionally, the customer should be assigned an identification that is unique to him or her.
  4. For each car being serviced in the company, the following details should be available: The car’s plate number, make, model, colour, year it was manufactured, and time and date it was brought in and collected. By default, no two cars can have the same number plate.
  5. For each payment made by a customer to the company, the following details should be supplied: an invoice number, name of customer who made the payment, the payment method, amount that was paid, the time and date the payment was made.
  6. Payment method can be either cash or credit.
  7. Contact numbers should be telephone numbers only.
  8. A customer can bring in as many cars as he or she wishes to be serviced.
  9. Multiple workers can work on a single car.
  10. A single worker can work on multiple cars.
  11. Cars dropped in the company for servicing cannot be picked on the same date they were brought in.

Data dictionary

Worker
AttributesDataTypeFormatRuleDescriptionSample
Value
Worker ID|NumberAuto
Numbering
Start from
1 and increment by 1
This is the unique
identification for the worker. This the PrimaryKey
1
Worker NameTextn/aStarts with
Capital letter
Description for the nameBedoor fahad
Contact NOText(999) 9999-
9999
n/aTEL No(061) 9733-
3222
Expertness sText50 CharactersLetterNO of work’s year
Worker fareCurrency$9999.99$3500.00
QualificationText50 cCharactersLetterStudyBach
Customer
AttributesDataTypeFormatRuleDescriptionSample
Value
customerID|NumberAuto
Numbering
Start from
1 and increment by 1
This is the unique
identification for the customer. This the PrimaryKey
1
FirstNameTextStarts with
Capital
Field size maximum of
20 characters
First name of the
Customer
Bedoor
LastNameTextStarts with
Capital
Field size maximum of
20 characters
Surname of the customerFahad
GenderTextValue List –
Defaults with
n/aGender for the customerMale
Street AddressTextn/a50 CharactersStreet Address of
customer
1011
Sydney
Road
SuburbTextSelect from a
combo list
Able to add new suburb
to list
Suburb of customerMelbourne
Coburg
PostCodeNumber4 NumbersWithin in the 3000
range
Postcode of customer3000
Contact NO
Contact NO
Text(999) 9999-
9999
n/aTEL No(061) 9733-

3222

Car
AttributesDataTypeFormatRuleDescriptionSample
Value
Plate numberTextn/a10 CharacterPlate number of car
This the PrimaryKey
RRR 343
MakeTextn/a10 CharactersKind of carFord
ModelTextn/a10 CharactersKind of carFalcon
colourTextn/a10 CharactersColour of carBlack
yearNumber4 numberYear of car2003
Check-in timeTextn/a50 CharactersTime entering of car05:10 pm
Check- in dateDateDd/mm/yyyyCannot be current dateThis is the date entering of car14/08/1995
Check-out timeTextn/a50 CharactersTime out of car05:10 am
Check-out dateDateDd/mm/yyyyCannot be current dateThis is the date out of car14/08/2000
Payment
AttributesDataTypeFormatRuleDescriptionSample
Value
Invoice NumberNumber10 numberNumber of payment invoice This the PrimaryKey123456
Customer NameTextn/aStarts with
Capital letter
Description for the nameBedoor fahad
Payment MethodTextn/a10 CharactersPayment by credit card or cashCach or VISA
amountCurrency$9999.99$350.00
Time of paymentTextn/a50 CharactersTime of payment05:10 am
Date of paymentDateDd/mm/yyyyCannot be current dateThis is the date of payment14/08/1995
Car_Worker
AttributesDatatypeFormatRuleDescriptionSample value
Record IDNumberAuto NumberingStart from 1 and increases by 1Uniquely identifies each record. This is the primary key1
Plate numberTextn/a10 CharactersPlate number of car
This a foreign Key
RRR 343
Worker IDNumberAuto NumberingStart from 1 and increases by 1This is the unique
identification for the worker. This a foreign Key
1

Current Implications and Future Expansion to Database

The proposed relational database system will make information management for the company easy. Reports and lists generated from the system capture the information needs of the company at any level of specification desired by the company.

Even with these benefits, the system’s full potential has not yet been realized. The following paragraph captures additional information that can be extracted from the database in its future. This information is useful in the management of the company.

With sufficient data in the system and by running appropriate queries against the database, the company can determine the effectiveness of its employees as well as determine its customers’ loyalty.

Additionally, the system can enable the company rate its services by expanding it to accommodate details relating to customer satisfaction with the job done on his or her car. The system can be expanded to accommodate data on car problems. With this data, the company can determine which problem it encounters frequently enabling it to tell which kind of experts it needs.

More related papers Related Essay Examples
Cite This paper
You're welcome to use this sample in your assignment. Be sure to cite it correctly

Reference

IvyPanda. (2019, May 22). Car Maintenance Company Relational Database System. https://ivypanda.com/essays/report-for-database-of-maintenance-car-report/

Work Cited

"Car Maintenance Company Relational Database System." IvyPanda, 22 May 2019, ivypanda.com/essays/report-for-database-of-maintenance-car-report/.

References

IvyPanda. (2019) 'Car Maintenance Company Relational Database System'. 22 May.

References

IvyPanda. 2019. "Car Maintenance Company Relational Database System." May 22, 2019. https://ivypanda.com/essays/report-for-database-of-maintenance-car-report/.

1. IvyPanda. "Car Maintenance Company Relational Database System." May 22, 2019. https://ivypanda.com/essays/report-for-database-of-maintenance-car-report/.


Bibliography


IvyPanda. "Car Maintenance Company Relational Database System." May 22, 2019. https://ivypanda.com/essays/report-for-database-of-maintenance-car-report/.

If, for any reason, you believe that this content should not be published on our website, please request its removal.
Updated:
This academic paper example has been carefully picked, checked and refined by our editorial team.
No AI was involved: only quilified experts contributed.
You are free to use it for the following purposes:
  • To find inspiration for your paper and overcome writer’s block
  • As a source of information (ensure proper referencing)
  • As a template for you assignment
Privacy Settings

IvyPanda uses cookies and similar technologies to enhance your experience, enabling functionalities such as:

  • Basic site functions
  • Ensuring secure, safe transactions
  • Secure account login
  • Remembering account, browser, and regional preferences
  • Remembering privacy and security settings
  • Analyzing site traffic and usage
  • Personalized search, content, and recommendations
  • Displaying relevant, targeted ads on and off IvyPanda

Please refer to IvyPanda's Cookies Policy and Privacy Policy for detailed information.

Required Cookies & Technologies
Always active

Certain technologies we use are essential for critical functions such as security and site integrity, account authentication, security and privacy preferences, internal site usage and maintenance data, and ensuring the site operates correctly for browsing and transactions.

Site Customization

Cookies and similar technologies are used to enhance your experience by:

  • Remembering general and regional preferences
  • Personalizing content, search, recommendations, and offers

Some functions, such as personalized recommendations, account preferences, or localization, may not work correctly without these technologies. For more details, please refer to IvyPanda's Cookies Policy.

Personalized Advertising

To enable personalized advertising (such as interest-based ads), we may share your data with our marketing and advertising partners using cookies and other technologies. These partners may have their own information collected about you. Turning off the personalized advertising setting won't stop you from seeing IvyPanda ads, but it may make the ads you see less relevant or more repetitive.

Personalized advertising may be considered a "sale" or "sharing" of the information under California and other state privacy laws, and you may have the right to opt out. Turning off personalized advertising allows you to exercise your right to opt out. Learn more in IvyPanda's Cookies Policy and Privacy Policy.

1 / 1