Project Execution Method for Stakeholder Contract Analysis
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Solution Overview
Problem
Complex projects involving multiple stakeholders often suffer from deficiencies such as duplication of efforts, unassigned tasks, and contradictory requirements due to complex contract documents, leading to unnecessary delays and increased costs.
Innovation Solution
A method that involves collecting and analyzing contract documents to extract project steps, responsible stakeholders, and links, identifying problem-opportunity pairs, assigning consequence and implementation values, and modifying contract data to address issues, thereby visualizing and prioritizing project steps to ensure compliance with predetermined criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple contract documents are used to define relationships between stakeholders, then comprehensive coverage of project requirements is achieved, but duplication of efforts, unassigned tasks, and contradictory requirements arise
Solution Approach 1:
The patent merges multiple contract documents into a single integrated digital model that consolidates all stakeholder relationships, project steps, and requirements into one unified structure. This integration eliminates duplication and contradictions while maintaining comprehensive coverage of all project requirements.
Solution Approach 2:
The digital project execution environment serves multiple functions simultaneously: it stores contract data, visualizes project steps, identifies problems, tracks responsibilities, and monitors compliance. This multi-functional system replaces the need for separate contract documents while achieving comprehensive requirement coverage.
2Reliability
If comprehensive contract analysis is performed to identify all project steps and responsibilities, then complete task assignment is achieved, but time-consuming analysis and processing occur
Solution Approach 1:
The system performs preliminary extraction and structuring of contract data into a standardized digital format during the setup phase. This preliminary organization of information enables rapid identification of project steps and responsibilities during execution without requiring time-consuming analysis later.
Solution Approach 2:
The patent replaces manual contract analysis with automated computational processing. Software algorithms automatically extract, parse, and analyze contract documents to identify project steps, assign responsibilities, and detect inconsistencies, dramatically reducing the time required compared to manual review.
3Measurement precision
If manual review of contract documents is conducted to identify problems, then detailed problem detection is achieved, but productivity and efficiency decrease
Solution Approach 1:
The system replaces manual problem review with automated computational analysis that scans the digital project model to identify inconsistencies, missing tasks, and compliance issues. This automated detection maintains high accuracy while dramatically increasing productivity by processing large volumes of contract data instantly.
Solution Approach 2:
The digital project execution environment continuously monitors project steps and automatically provides feedback on compliance status, identifying problems as they occur rather than through periodic manual reviews. This real-time feedback mechanism maintains high detection accuracy while enabling continuous project execution without productivity loss.
Data Source
AI summary
A method of executing a project has the steps of collecting contract documents between a plurality of stakeholders involved in executing the project, the contract documents defining more than one relationship between subsets of the plurality of stakeholders, analyzing the contract documents to extract contract data, visualizing the plurality of project steps and the links relative to the plurality of stakeholders, identifying a plurality of problem-opportunity pairs (“POPs”), assigning a consequence value and an implementation value to each of the POPs, creating a plot of the POPs based on the consequence values and the implementation values, identifying a subset of the POPs to be implemented, modifying the contract data associated with a subset of the POPs to satisfy the predetermined criteria, and completing the project according to the modified contract data.