Hoosier Burger Case Part 5 Read The Hoosier Burger Scenario ✓ Solved
Hoosier Burger Case Part 5read The Hoosier Burger Scenario On Page 24
Hoosier Burger Case: Part 5 Read the Hoosier Burger scenario on page 242 in Chapter 7 of the text and address the following in a 1 to 3 page APA style paper: a. Based on the information provided in the case scenario, what entities will Hoosier Burger need to store information about? b. For the entities identified in part a, identify a set of attributes for each entity. c. Specify an identifier for each entity. What rules did you apply when selecting the identifier? d. Modify Figure 7-10 to reflect the addition of these new entities. Be sure to specify the cardinalities for each relationship.
Sample Paper For Above instruction
Introduction
The Hoosier Burger case provides a comprehensive scenario to analyze the data storage and relationship modeling required for a successful restaurant management system. This paper addresses the core components outlined in the case, including identifying key entities, determining relevant attributes, selecting unique identifiers, and modifying existing data models to incorporate new entities with appropriate cardinalities.
Entities Identified from the Hoosier Burger Case
Based on the scenario, several critical entities are necessary for an effective data management system. Primarily, these include:
- Customer: Represents individual patrons who place orders.
- Order: Records details of each purchase made.
- Menu Item: Contains information about the food items offered.
- Employee: Represents staff involved in operations.
- Supplier: Details of suppliers providing ingredients or products.
- Inventory: Tracks stock levels of various items and ingredients.
Attributes for Each Entity
Once entities were identified, relevant attributes pertinent to operations were outlined:
- Customer: CustomerID, Name, ContactInfo, LoyaltyStatus
- Order: OrderID, Date, TotalAmount, CustomerID
- Menu Item: ItemID, Name, Description, Price, Category
- Employee: EmployeeID, Name, Position, HireDate, ContactNumber
- Supplier: SupplierID, Name, ContactInfo, Address
- Inventory: InventoryID, ItemName, QuantityInStock, ReorderLevel, SupplierID
Selection of Unique Identifiers and Rules Applied
Unique identifiers were selected based on their uniqueness and stability:
- CustomerID: Unique across all customers, selected for its simplicity and stability.
- OrderID: Unique for each order, assigned at transaction time.
- ItemID: Unique for each menu item, derived from a cataloging system.
- EmployeeID: Unique for each staff member, possibly from HR records.
- SupplierID: Unique identifier for each supplier, assigned during onboarding.
- InventoryID: Unique per inventory record, facilitating stock tracking.
The rules for selecting identifiers included ensuring no duplication, simplicity for data entry, and consistency across datasets.
Modifying Figure 7-10 and Cardinalities
To incorporate the new entities, Figure 7-10 was modified to include the following relationships with specified cardinalities:
- Customer to Order: One-to-many (one customer can place multiple orders, but each order is linked to one customer).
- Order to Menu Item: Many-to-many (an order can contain multiple menu items, and each menu item can appear in multiple orders). This relationship may involve an associative entity like OrderDetails.
- Menu Item to Inventory: Many-to-one or many-to-many, depending on recipe complexity. Typically, multiple inventory items supply ingredients for one menu item.
- Inventory to Supplier: Many-to-one (each inventory item has a single supplier, but suppliers supply multiple inventory items).
- Employee to Order: One-to-many (each employee might handle multiple orders), depending on workflow design.
These relationships help ensure comprehensive and accurate data flow within the restaurant's management system.
Conclusion
By systematically identifying entities, attributes, and relationships, the restaurant management system can be designed for efficiency and scalability. The modifications to existing data models, particularly Figure 7-10, facilitate better data integrity and support operational requirements. Properly defining these components aligns with best practices in database design and ensures the system’s capacity to handle evolving business needs effectively.
References
- Elmasri, R., & Navathe, S. B. (2016). Fundamentals of Database Systems (7th ed.). Pearson.
- Database Systems, A Practical Approach to Design, Implementation, and Management (6th ed.). Pearson.
- Hernández, M. J., & Rivera, V. (2020). Best practices in database normalization and entity relationship modeling. Data & Knowledge Engineering, 121, 101-113.