Dynamic Project Benchmarking via Multi-Dimensional Computational Models

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Solution Overview

Problem

Conventional project management computational models are limited in their ability to analyze and compare multiple project dimensions dynamically, leading to inadequate benchmarking and reporting in project management.

Innovation Solution

The system uses computational models to compute scores, classify projects, and provide multi-dimensional reports on project attributes, enabling comparison and benchmarking across multiple project dimensions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional project management computational models are used, then they are limited to predefined or single subjects such as scheduling, risk management, or defect management, but they fail to provide insights to support dynamic project environments and themes

Engineering Contradiction:

Improveadaptability to dynamic project environmentsVSAvoidcomplexity of computational models

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent applies universality by creating a benchmarking system that can analyze multiple project dimensions (schedule, cost, scope, quality, resources) through a single integrated platform. The system uses configurable benchmarking templates and dynamic dimension selection to handle diverse project types and environments, allowing one system to serve multiple functions across different project management needs.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system implements dynamics through its ability to dynamically configure and adjust project dimensions for benchmarking analysis. Users can dynamically select which project attributes to compare, adjust weighting factors, and modify benchmarking criteria based on specific project needs. The system adapts to changing project environments by allowing real-time reconfiguration of analysis parameters without requiring fixed predefined models.

Inventive Principle:

Principle #15Dynamics

2Loss of information

If benchmarking systems analyze individual project dimensions, then they provide focused analysis, but they fail to provide intelligence by identifying comparable projects using multiple dimensions

Engineering Contradiction:

Improveloss of multi-dimensional project intelligenceVSAvoidcomplexity of multi-dimensional analysis

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The patent merges multiple project dimension analyses into a unified benchmarking framework. The system combines schedule, cost, scope, quality, and resource dimensions into a single comparative analysis platform that identifies comparable projects across all these dimensions simultaneously. This integration preserves multi-dimensional project intelligence while providing comprehensive insights that single-dimension analyses cannot deliver.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system transitions from single-dimension to multi-dimensional analysis by introducing additional analytical dimensions. It compares projects across multiple concurrent dimensions (time, cost, scope, quality, resources) and uses weighted scoring to synthesize these dimensions into overall project performance ratings. This dimensional expansion enables identification of truly comparable projects that share similarities across multiple criteria rather than just one.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

3Loss of information

If project reports aggregate multiple project attributes, then they provide comprehensive visualization, but they fail to provide dynamic comparative and benchmark data in a coherent, multi-dimensional fashion

Engineering Contradiction:

Improveloss of dynamic comparative dataVSAvoidease of accessing dynamic benchmark data

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The benchmarking system implements feedback mechanisms that dynamically update project comparisons as new data becomes available. The system continuously monitors project attributes and automatically recalculates benchmark rankings, providing real-time feedback on project performance relative to comparable projects. This dynamic feedback loop ensures that comparative data remains current and actionable throughout the project lifecycle.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system provides dynamic access to benchmark data through interactive reports that allow users to drill down into specific dimensions, filter by project attributes, and adjust comparison criteria on the fly. The reports dynamically reconfigure based on user selections, enabling easy access to specific comparative data views without requiring complex manual analysis or multiple static reports.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20250165883A1Method for dynamic model-based project benchmarking, planning, and forecasting

Publication Date: 2025.05.22 MILLER GLORIA J

AI summary

A method for comparing and benchmarking projects utilizing computational models for scoring and classifying projects and utilizing historical or reference data for producing multifaceted, scalable vector graphics reports. The system is dynamic for loading project scoring models that follow a given structural specification, for being configured to report on project histories or reference data, and for reporting on multiple project aspects using customizable graphic reports.