Hoosier Burger Case Part 4 Read The Hoosier Burger Scenario

Hoosier Burger Case Part 4read The Hoosier Burger Scenario On Page 19

Read the Hoosier Burger scenario on page 199 in Chapter 6 of the text and address the following (you only need to complete parts a through c) in a 1 to 3 page APA style paper: a. Modify the Hoosier Burger context-level data-flow diagram (Figure 6-4) to reflect the changes mentioned in the case. b. Modify Hoosier Burger’s level-0 diagram (Figure 6-5) to reflect the changes mentioned in the case. c. Prepare level-1 diagrams to reflect the changes mentioned in the case.

Hoosier Burger As one of Build a Better System’s lead analysts on the Hoosier Burger project, you have spent significant time discussing the current and future needs of the restaurant with Bob and Thelma Mellankamp.

In one of these conversations, Bob and Thelma mentioned that they were in the process of purchasing the empty lot next to Hoosier Burger. In the future, they would like to expand Hoosier Burger to include a drive-through, build a larger seating area in the restaurant, include more items on the Hoosier Burger menu, and provide delivery service to Hoosier Burger customers. After several discussions and much thought, the decision was made to implement the drive-through and delivery service and wait on the activities requiring physical expansion. Implementing the drive-through service will require only minor physical alterations to the west side of the Hoosier Burger building. Many of Hoosier Burger’s customers work in the downtown area, so Bob and Thelma think a noon delivery service will offer an additional convenience to their customers.

One day while having lunch at Hoosier Burger with Bob and Thelma, you discuss how the new delivery and drive-through services will work. Customer order-taking via the drive-through window will mirror in-house dining operations. Therefore, drive-through window operations will not require information system modifications. Until a new system is implemented, the delivery service will be operated manually; each night Bob will enter necessary inventory data into the current system. Bob envisions the delivery system operating as follows.

When a customer calls and places a delivery order, a Hoosier Burger employee records the order on a multiform order ticket. The employee captures such details as customer name, business or home address, phone number, order placement time, items ordered, and amount of sale. The multiform document is sent to the kitchen where it is separated when the order is ready for delivery. Two copies accompany the order; a third copy is placed in a reconciliation box. When the order is prepared, the delivery person delivers the order to the customer, removes one order ticket from the food bag, collects payment for the order, and returns to Hoosier Burger.

Upon arriving at Hoosier Burger, the delivery person gives the order ticket and the payment to Bob. Each evening Bob reconciles the order tickets stored in the reconciliation box with the delivery payments and matching order tickets returned by the delivery person. At the close of business each evening, Bob uses the data from the order tickets to update the goods sold and inventory files.

Paper For Above instruction

The scenario at Hoosier Burger presents a compelling case for analyzing and modifying existing system diagrams to accommodate planned service expansions, notably the deliver service and drive-through options. Based on the information provided, this paper will detail necessary modifications to the context-level data-flow diagram (DFD), the level-0 diagram, and the level-1 diagrams, aligning them with the new operational processes introduced in the case.

Modification of the Context-Level Data-Flow Diagram (DFD)

The context-level DFD offers an overarching view of the system boundaries, depicting core external entities and primary data interactions. In the original diagram, customers interact directly with the restaurant’s order-taking system, and the system interfaces with internal processes such as inventory management and sales recording.

Incorporating the new delivery and drive-through services necessitates updates to this diagram. The most significant change involves adding external entities for "Drive-Through Customers" and "Delivery Customers," distinct from walk-in customers, to clearly delineate the different customer interactions. For drive-through customers, the interaction is via a window, mirroring in-house ordering but without systemic modifications. Delivery customers, however, place orders remotely, likely via phone, and rely on manual entry until system upgrades occur.

Correspondingly, the diagram should depict data flows from these external entities to the system: order requests from drive-through and delivery customers, and payment information returning from both customer types at the point of order completion. Additionally, the system exchanges order details internally to the kitchen, delivery personnel, and inventory management, encapsulating the full scope of operations. The diagram emphasizes that during the initial phase, delivery orders are handled manually, with staff recording order data, which must be reflected as a data flow from external delivery entities to the system’s manual record-keeping point.

Modification of the Level-0 Diagram

The level-0 DFD refines the system by illustrating key processes, data stores, and data flows. Prior to the expansion, core processes likely included order entry, payment processing, inventory updating, and sales recording.

With the enhancements, the following modifications are requisite:

  • External Entities: Introduction of "Drive-Through Customers" and "Delivery Customers" as distinct external entities, reflecting their unique interactions.
  • Processes: The "Order Processing" process needs updates to handle in-person, drive-through, and manual delivery orders. For drive-through orders, the process remains similar to in-restaurant ordering, requiring minimal change. For delivery orders, an additional subprocess may be introduced to record delivery details manually until automated systems are implemented.
  • Data Stores: The existing sales, inventory, and reconciliation data stores are maintained, but manual input from delivery orders should be explicitly shown, including the process of updating inventory based on these orders.
  • Data Flows: These need to be expanded to include order requests, delivery order details, payment data, and reconciliation data, emphasizing manual entry and processing for delivery orders.

The diagram should visually depict the flow of data from "Delivery Customers" to "Order Processing," through manual recording, and to inventory updating, matching the described process.

Preparation of Level-1 Diagrams

Level-1 diagrams decompose the higher-level process into more detailed subprocesses. For the scope of modifications, the primary focus is on the new or adjusted subprocesses relevant to delivery and drive-through services.

In particular, the Level-1 diagram should include:

  • Order Handling Subsystem: Separate subprocesses for handling in-person, drive-through, and manual delivery orders. For drive-through, the subprocess involves order-taking at the window, which segments into order entry and kitchen preparation.
  • Delivery Subsystem: A subprocess dedicated to processing delivery orders, which includes manual recording, dispatching of delivery personnel, and reconciliation of orders and payments.
  • Payment Processing: An integrated subprocess for in-house, drive-through, and delivery payments, emphasizing the modes of collection—cash, card, or digital payments—especially noting manual procedures during initial implementation phases.

The diagrams should reflect that delivery orders entered manually are subsequently recorded into inventory and sales data, with feedback loops for reconciliation and error handling.

In conclusion, these modifications ensure that Hoosier Burger’s system diagrams accurately depict the expanded operational scope, facilitating a clearer understanding for future system implementation and enhancement.

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