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Business rules

In this assignment, you are going to perform the entity-relationship data modelling based on the following application scenario

From time to time, the clients may feel unsatisfactory on a service job done and therefore they may complain about service quality, expensive cost and other possible problems. If so, the lodged complaint should be recorded and processed appropriately by an admin staff, with a response addressed the outcome of investigation. Finally, AAS also wishes to maintain contact details for each client who requests service, including their residential address, contact phone, email and whether they are a senior citizen, who may receive some discount in a service.

You are required to develop an ER model to represent the information requirements for the application scenario (AAS) as described on last page.

Your ER model must: 
•    show all necessary entities, attributes and relationships 
•    show unique identifiers 
•    show multi-valued attributes (also called repeating attributes), if any 
•    show participation and cardinality 
•    show associative entities, if appropriate 
•    use the notation described in the set text 
•    use consistent and appropriate naming for entities and attributes throughout 

Some business rules or other aspects of the case study may not be clear to you when you read the case study. If this is the case, then you should either approach your lecturer or tutor for clarification, or you may simply make an assumption and then develop your ER model accordingly. For example, the case study might not mention all relevant participation information (also called minimum cardinalities). If so, you may make an assumption about what the minimum cardinalities might reasonably be, and then show these in your ER model accordingly. You should justify each assumption in terms of the business, for example: it is assumed that each customer must have at least one order because it is assumed that the business does not record customer details until the customer places an order. 

To get yourself started, ask yourself, 'If I were running this business, what things I would need to keep a list of?' Write those things down. For each thing, what information would you need to record about it? 

Entity and attribute definitions 

You are required to write brief definitions for the entities and attributes in your model. For each entity and attribute in your model, write a sentence to describe the meaning of that entity or attribute. You should refer to the sections Naming and Defining Entity Types and Naming and Defining Attributes in the textbook. 

Business rules

Figure 1: ER-Model for Australasia Auto Services

(Source: Created by author)

The business rule is defining for a conditions which is depended on a particular object to complete or server a job. The Australasia Auto Services have a car maintenance facility for their client, therefore they need to store all car related issues, required parts, service details as well as their employees and client details. The identified business rules are followings:

  1. An employee of Australasia Auto Services may have one or more service job.
  2. An employee must have a service type.
  3. For every service job a car details must be store in the database.
  4. The purchase history for a car must be store in the database.
  5. A service may require one or more mechanics required.
  6. If a service required to replace one or more parts, then it also store into the database.
  7. A client details for every service is store into the database.
  8. A client can give one or more complains, which also store into the database.

The Australasia Auto Services is a prestigious deader of car, however their main business is to provide car service to their client in Queensland and Rock Hampton.  They have increasing their services in recent years, therefore they need to build a relational database for managing their business. The information system is totally based on their car service where they have nine main entities to provide a car service.

The car service information system requires to store the details of every service done by their company. A car service includes a car details, client details and service details. The car details also include a purchase details of that car if it is brought from Australasia Auto Services or anywhere else. After storing a car details of a particular job, they also need to store number of mechanic required to provide this service and other associative details. Therefore, here a car, employees, service or job card as well as mechanics are assumed as entities.

The employees have different job role on different sections therefore to separate this information a new entity is assumed as category of employees. A car service may require parts to replace or repair, therefore Australasia Auto Services must have an entity as parts to check the require parts are available or not. A client may have some complain against the job done previously, therefore it can be assumed that complain is an entity and its related to every client.

Table: Employee

The Australasia Auto Services have some workers to server their customers.

Name: The name of a worker of Australasia Auto Services.

Address: The location of that worker lives in.

Ph_number: phone number of that worker.

Email: Mail ID of that worker.

Cat_Type: it is an identification number for identify the type of that worker.

TTLevel: The technical trade level of that worker.

Expertise: Expertise level of mechanics that worker have.

Experience: years of sales experience or maintenance. 

Qualification: The educational skill of that worker.

Table: Category

The type of work done by the employees of AAS. 

Cat_ID: The identification number of every category.

Type_Name: The name of the category.

Table: Car

The car has come for servicing.

Registration_number:  The identification number of every car.

Manufacturer: The name of the company has produce that car.

Make: The name of the car.

Model: The model number of that car.

produced_year: the year of that car manufactured.

Color: the color of that car.

Table: Service_Job

A service job is an entity that associate car, employee, purchase, required machines as well as clients. However, it stores all service related information.

Service_ID: identification number for each service requested.

Date: date of the servicing attempted.

Car_ID: The car identification number that has come for servicing. 

Service_Description: Additional information for each servicing.

Purchased_ID: The car purchases identification number that has come for servicing. 

Table: Purchased_Details

A car purchased from where need to store here.

Purchased_ID: The purchase identification number of a car.

salesperson_name: The name of the perform who have sold that to a particular client.

price: The total cost to buy that car

warranty_due_date: The last date of warranty period.

Table: ServiceEmployee

Associate the number of parts and machine required for any particular job.

SE_Code: An identification code for associate required service details and employees.

Employee_ID: An identification number to identify an employee.

Service_ID: An identification number to identify a service.

mechanics_ID: An identification number to identify a mechanics.

Required_parts_ID: An identification number to identify required parts.

Table: Mechanics_perform

Store the machine information.

mechanics_ID: identification number.

service_ job: details of service.

labor_cost: total labor cost.

part_cost: total part cost.

Date: date of used machines.

start_time: the time to start servicing.

finish_time: the time to end servicing.

Table: Replace_Parts

Store the requited parts for a service.

Required_parts_ID: identification number.

parts_ID: parts identification number.

Table: parts

Store the parts in inventory.

parts_ID: parts identification number.

Description: details of a parts.

Manufacturer: the name of the company builds that parts.

Price: Cost of each unit.

available_quantity: the number of parts in inventory.

Table: Client

Store the all client’s information.

Client_ID: Identification number.

Name: Name of the client.

Address: location of that client lives in.

Ph_number: Contact number of that person

Email: mail ID of that person.

senior_citizen_Evidence: supportive document for senior citizen facility.

Service_ID: Identification number for a service.

Table: complaint_register

Associate all client’s information with complain message.

CR_ID: Identification number. 

complain_ID: unique identification number for each complain.

Client_ID: Identification number.

Table: complaint

The complaint entity store all customer review.

complaint_ID: unique identification number.

service_quality: The quality review of a service job.

expensive_cost: note any cost related issue.

other_possible_problems: note any other issues.

The 3NF relations are identified from the presence of transitive dependency in between two relations. Here three entities are identified that has contained transitive dependencies. Therefore, to eliminates this problem a new relation is derived from the both relation. The below figures (2, 3, 4) shows how it could be decomposed into 3rd NF.

Figure 2: Showing decomposition of two table into 3rd NF

(Source: Created by author)

Figure 3: Showing decomposition of three table into 3rd NF, by introducing a new relation

(Source: Created by author)

Chen, J., Yang, M.H. and Koo, T.L., 2014. A control-data-mapping entity-relationship model for internal controls construction in database design. International Journal of Knowledge-Based Organizations (IJKBO), 4(2), pp.20-36.

Chougule, S., Kurmi, A.K., Vin, H.M., Kelkar, R.R., Kulkarni, S.P., Pathak, A.S., Palshikar, G.K., Pawar, S. and Ramrakhiyani, N.V., Tata Consultancy Serivces Limited, 2016. Automatic Entity Relationship (ER) Model Generation for Services as Software. U.S. Patent Application 15/224,931.

Dedhia, R., Jain, A. and Deulkar, K., 2015. Techniques to automatically generate Entity Relationship Diagram.

El?Assady, M., Sevastjanova, R., Gipp, B., Keim, D. and Collins, C., 2017, June. NEREx: Named?Entity Relationship Exploration in Multi?Party Conversations. In Computer Graphics Forum (Vol. 36, No. 3, pp. 213-225).

Fuchs, A.P., Allen, M.R., Berman, M.A., Laniyonu, A.D., Park, J.J., Travaglini, J.P., Vines, J.W. and Wheeler, B.L., Sqrrl Data, Inc., 2015. Entity-relationship modeling with provenance linking for enhancing visual navigation of datasets. U.S. Patent Application 14/801,950.

Hsiao, D.K., Neuhold, E.J. and Sacks-Davis, R., 2014, May. Translation of extended entity-relationship database model into object-oriented database model. In Interoperable Database Systems (DS-5): Proceedings of the IFIP WG2. 6 Database Semantics Conference on Interoperable Database Systems (DS-5) Lorne, Victoria, Australia, 16-20 November, 1992 (Vol. 25, p. 87). Elsevier.

Nhung, N.T., Song, S. and Lee, S., 2013. Transforming extended entity-relationship model into object-relational database using triple graph grammars. Korea in the ICT R&D Program, (13-912), pp.03-003.

Thalheim, B., 2013. Entity-relationship modeling: foundations of database technology. Springer Science & Business Media.

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[Accessed 15 November 2024].

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My Assignment Help. Entity-relationship Data Modelling For Australasia Auto Services Essay. [Internet]. My Assignment Help. 2021 [cited 15 November 2024]. Available from: https://myassignmenthelp.com/free-samples/coit20247-database-design-and-development/associative-details.html.

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