CDRL Deliverable Tracking Automation
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Solution Overview
Problem
Managing large numbers of contract data requirements list (CDRL) deliverables for long-term contracts is challenging due to the complexity of tracking deadlines, milestones, and recurrences, making it difficult to optimize resource allocation and delivery status monitoring.
Innovation Solution
A computer-implemented method and system that identifies CDRL deliverables associated with programs, determines delivery dates based on milestone and recurrence associations, and displays deliverable names, dates, statuses, and evaluations, enabling automated updates and efficient management of CDRL deliverables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual management methods are used for CDRL deliverables, then flexibility in handling individual deliverables is maintained, but the ability to track and manage large volumes of deliverables efficiently deteriorates
Solution Approach 1:
The system automatically determines delivery dates by self-evaluating milestone associations and recurrence patterns without requiring manual intervention. The controller autonomously calculates delivery dates based on stored milestone dates and recurrence rules, enabling the system to manage itself and eliminating the need for complex manual tracking processes
Solution Approach 2:
The system handles multiple types of deliverable associations (milestone-based, recurrence-based, and fixed-date) through a single unified controller that applies different determination rules based on the deliverable type. This multi-functional approach allows one system to manage diverse deliverable scenarios without requiring separate manual processes for each type
2Productivity
If automated systems are implemented to track deliverables, then tracking efficiency improves, but the complexity of the management system increases
Solution Approach 1:
The system segments deliverable management into distinct categories (milestone-associated, recurrence-associated, and fixed-date deliverables), each handled by specific determination rules. This segmentation allows the complex management task to be divided into manageable modules, reducing overall system complexity while maintaining high automation efficiency
Solution Approach 2:
The system performs preliminary actions by pre-storing milestone dates and recurrence rules in the controller memory before delivery date determination is needed. This advance preparation enables rapid automated calculation of delivery dates without requiring complex real-time computations, simplifying the system structure while maintaining high productivity
3Loss of time
If delivery dates are manually determined for each CDRL deliverable, then accuracy in individual date calculation is maintained, but the time required to manage large numbers of deliverables increases
Solution Approach 1:
The controller automatically determines delivery dates by self-evaluating the deliverable's association with milestones and recurrences, eliminating manual determination entirely. This self-service mechanism ensures both speed (reducing time loss) and accuracy (through consistent application of predetermined rules) for all deliverables simultaneously
Solution Approach 2:
The system uses feedback from stored milestone dates and recurrence rules to automatically calculate delivery dates. The controller continuously references these stored parameters to determine accurate delivery dates, ensuring precision while eliminating the time-consuming manual calculation process for each deliverable
4Measurement precision
If the system tracks detailed milestone and recurrence associations for each deliverable, then delivery status monitoring accuracy improves, but the complexity of data management increases
Solution Approach 1:
The system segments data management into distinct categories (milestone associations, recurrence associations, and fixed dates) with dedicated storage structures for each type. This segmentation allows detailed tracking information to be organized in manageable modules, improving tracking accuracy while reducing the complexity of managing all data together as a single undifferentiated structure
Data Source
AI summary
Computer implementations for managing contract data requirements list (CDRL) deliverables are disclosed. In some implementations, a controller identifies a CDRL deliverable associated with a program. The controller determines whether the CDRL deliverable is associated with a milestone of a plurality of milestones associated with the program and whether the CDRL is associated with a recurrence. In addition, the controller determines a delivery date for the CDRL deliverable based on whether the CDRL is associated with the milestone and whether the CDRL deliverable is associated with the recurrence. The controller displays, via a display, a CDRL deliverable name of the CDRL deliverable and at least one of: the delivery date, a delivery status corresponding to the delivery date, and a delivery evaluation corresponding to the delivery date.