Pizza Delivered Quickly (PDQ) is a domestic and remote chain comprising of 40 stores of eat-in and residence delivery pizza places. In recent times, PDQ has lost approximately 30 percent of sales income because of a drop in its residence delivery business. This assignment seeks to analyze the situation of PDQ by assessing RBS for the Inventory Management sub-system using appropriate model. The paper selects appropriate agile model to address the situation in PDQ situation. There is a need to develop the RBS for the factory location software application and the logistics sub-system development project using INSPIRE approach.

The RBS for the Inventory Management Sub-system Project

The RBS is a hierarchical illustration that depicts what the solution has to solve in order to meet clients needs. In PDQ scenario, home delivery productivity reduced and prompted a loss to the company as a result of competition. To counter the effects of competition, the management has proposed development of subsystems to assist in boosting customers (Project Management Institute, 2013). The subsystem to be used by PDQ will be as the figure below.

Fig 1: RBS for inventory management system

On the basis of subsystem process flow is possible to generate the RBS.

The ranking of models from best fit to worst fit will be from: extreme, adaptive, iterative, incremental and to linear in that order. The rationale for choosing the ranking is based on the client involvement level, in which extreme provides the best while linear provides the worst result.

The subsystem to develop with agile model is Logistics Subsystem, since it involves a lot of uncertainties. The precise agile model is adaptive because it handles a high level of improbabilities in the solutions potential to attain the projected objectives for the project. The advantage of the model is that there must be a process of accountability for the customer to make appropriate decisions to handle requests.

RBS for Factory Location Software Application

1st Subsystem: Pizza Factory Locator

The subsystem involves the existing PDQ delivery and production facilities. It also caters for tertiary, secondary, and primary markets to establish fresh sites for pizza factories. The process has to take into account the influence of a fresh site on the accomplishment criteria.

Function 1.1: Collective sales information and order access to order implementation time using census block

Function 1.2: Compute market infiltration by census block

Function 1.3: Assess home base market region through survey

Function 1.4: Identify prospective pizza-factory sites

Function 1.5: Recognize survey blocks that are not underused

Function 1.6: Evaluate influence on accomplishment criteria of each possible pizza-factory location

Function 1.7: Document pizza factory sites

2nd Subsystem: Order Entry

This subsystem manages customer requests. A client places an order into the system. It is possible through the use of mobile or telephone, online, or store visit.

Function 2.1: Recognize client

Function 2.1.1: Name, address, etc.

Feature 2.1.2: Customer history

Function 2.2: Acquire order

Feature 2.2.1: Requested products

Feature 2.2.2: Options selected

Feature 2.2.3: Quantity ordered

Feature 2.2.4: Condition either baked or unbaked

Feature 2.2.5: Document order history

Function 2.3: Obtain delivery instructions

Feature 2.3.1: Delivery residence

Feature 2.3.2: Delivery options

Feature 2.3.2: Delivery timeframe

Function 2.4: Cost (Price) order

Feature 2.4.1: Use promotions

Feature 2.4.2: Compute price

Feature 2.4.3: Sustain pricing chart

Function 2.5: Verify order

Feature 2.5.1: Payment mode

Feature 2.5.2: Exhibit order

Feature 2.5.3: Option: Accept, Cancel or Change

Function 2.6: Submit order information to subsequent subsystem (Logistics Subsystem)

Feature 2.6.1: Order submission

Feature 2.6.2: Verify order receipt

3rd Subsystem: Logistics

The subsystem constantly checks workloads across the entire preparation sites and all delivery options. Based on existing portfolio, the system makes a decision where to organize the pizza and which van will transport the order.

Function 3.1: Select preparation site

Feature 3.1.1: Obtain preparation-site workload

Feature 3.1.2: Obtain next-order information

Feature 3.1.3: Approximate production and delivery time

Feature 3.1.4: Allocate preparation site

Function 3.2: Move order to preparation site

Feature 3.2.1: Submit order

Feature 3.2.2: Document preparation site portfolio

Function 3.3: Select delivery van

Feature 3.3.1: Approximate distance

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Feature 3.3.2: Estimate time for pick-up and delivery

4th Subsystem: Order Submission

Regarding output obtainable from the Logistics Subsystem, the preparation site gets the order for scheduling.

Function 4.1: Accept order feature from Logistics Subsystem

Function 4.2: Arrange order for preparation

Feature 4.2.1; Prioritize fresh order

Feature 4.2.2: Access preparation queue

Function 4.3: Verify order condition

Feature 4.3.1: Assess the time the order will be ready

Feature 4.3.2: Assess the time the order will be delivered

Feature 4.3.3: Advice the driver of delivery van concerning pick-up time

Feature 4.3.4: Notify the driver when the order is complete

Feature 4.3.5: Document Inventory Management Subsystem appropriately

Function 4.4: Calendar order delivery and pick-up

Feature 4.4.1: Get confirmation from the delivery van driver concerning pick-up time

Feature 4.4.2: Acquire route of location from Routing Subsystem

Feature 4.4.3: Verify order delivery

Feature 4.4.4: Verify payment receipt

Feature 4.4.5: Record delivery-van destination and time

5th Subsystem: Routing

The subsystem provides the driver with destination from the preparation site to the client location. It is accompanied by a COTS submission for this subsystem.

Function 5.1: Update delivery-van destination

Function 5.2: Upload client delivery contact details

Function 5.3: Download driving instructions

Function 5.4: Verify order delivery

6th Subsystem: Inventory Management

The subsystem checks real-time inventory stages at all preparation sites, automatically provides refill directives to the trucks to refill preparation-site inventories, and automatically re-orders record from the seller.

Function 6.1: Obtain inventory-use information

Feature 6.1.1: Gather inventory-reduction data by preparation site

Feature 6.1.2: Keep posted on-hand inventory by commodity

Function 6.2: Recognize reorder requirements

Feature 6.2.1: Send reorder routinely to seller

Feature 6.2.2: Notify each preparation site of reorder amount and time for every product

Function 6.3: Obtain reorder

Feature 6.3.1: Examine and accept reorder consignment

Feature 6.3.2: Parcel orders for every preparation site

Feature 6.3.3: Transport orders to each preparation site

Logistics Subsystem Development Project

This subsystem will use INSPIRE to execute project mandates. INSPIRE is an interactive approach that iterates an unspecified number of stages in search of the goal. The question to ask here is whether there is a clear delineation of roles between the client and the team and whether there is a well defined process calendar with responsibility timelines (Carroll, 2012).

Revised Project Overview Statement (POS): It is essential for a project manager to have a clear understanding of the setting or organization methodology required prior to commencing the project. There are external and internal factors concerning each project that may assist to clarify what PMLC model would be best appropriate for the planned project.

The paper has provided a clear project process for PDQ to implement and gain market share. The RBS generated are hierarchical procedures that give a breakdown of what the project entails and solutions relevant. PMLC models are assessed and extreme found to be best fit since it is the most clients involving model. The project is to attract more home delivery clients and it entails more interactive approach to the clients to know their decisions. The INSPIRE usage in logistics subsystem prompts the management question that leads to reassessment of POS perception. It leads to revision of POS to reflect the revised POS.

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