Sustainable IP Portfolio Management via Multi-Objective Optimization

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Solution Overview

Problem

Managing intellectual property portfolios for enterprises is challenging due to uncertainties in valuation, legal risks, and the need for strategic alignment with business strategies, as existing models fail to create value-adding IP in a focused and structured manner, leading to suboptimal returns on investment and increased risks.

Innovation Solution

A system and method for managing sustainable intellectual property (IP) portfolios using sustainability differentiators such as strength, spread, and duplicity parameters, which involve decomposing IP landscapes into fragments, optimizing IP portfolios through multiple objective portfolio optimization functions, and employing genetic algorithms for decision support, ensuring long-term sustenance and technological advancement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional IP portfolio management models are used, then enterprises can maintain existing IP assets, but they fail to create value-adding IP in a focused and structured manner, leading to suboptimal returns on investment

Engineering Contradiction:

ImproveIP portfolio value creationVSAvoidIP portfolio management complexity

Core Design Contradiction:

ProductivityVSEase of manufacture

Solution Approach 1:

The patent segments the IP portfolio into multiple clusters based on technology domains, business units, and strategic objectives. Each cluster is managed independently with specific optimization goals, allowing focused value creation while reducing overall management complexity through modular organization.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces multiple objective functions with adjustable parameters (e.g., risk tolerance, innovation focus, commercialization priority) that can be customized according to enterprise strategy. This enables dynamic optimization of IP portfolios to maximize value creation while adapting to changing business requirements.

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If enterprises expand their IP portfolio to increase coverage and diversity, then they gain scale and synergy advantages, but they simultaneously increase valuation uncertainty and litigation risk

Engineering Contradiction:

ImproveIP portfolio diversityVSAvoidIP portfolio risk

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent employs multiple objective functions that simultaneously optimize for diversity (through clustering variables) and risk control (through constraint parameters). By adjusting weight parameters in the optimization model, enterprises can balance portfolio expansion against risk exposure, achieving diverse portfolios with controlled valuation and litigation risks.

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If enterprises focus on optimizing individual patent valuation, then they can assess standalone IP worth, but they fail to capture synergy and business strategy alignment benefits of the overall portfolio

Engineering Contradiction:

ImproveIP valuation accuracyVSAvoidportfolio optimization complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent merges individual patent valuation with portfolio-level synergy analysis and business strategy alignment through a unified multi-objective optimization framework. The model combines micro-level patent metrics with macro-level portfolio performance, capturing both standalone value and synergistic effects simultaneously.

Inventive Principle:

Principle #5Merging (Combining)

4Reliability

If enterprises manually manage IP portfolios with detailed analysis, then they can make informed decisions, but the process becomes time-consuming and difficult to scale across large portfolios

Engineering Contradiction:

Improvedecision qualityVSAvoidportfolio management time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces manual analytical processes with automated computational optimization algorithms. The multi-objective optimization model automatically processes large volumes of IP data, performs cluster analysis, and generates optimization recommendations, maintaining high decision quality while dramatically reducing management time and enabling scaling to large portfolios.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS9633403B2Managing sustainable intellectual property portfolio of an enterprise

Publication Date: 2017.04.25 TATA CONSULTANCY SERVICES LTD

AI summary

The present subject matter describes a method and a system for managing sustainable intellectual property (SIP) portfolio of an Enterprise, which comprises generating, by a processor, a sustainable intellectual property (IP) in atomicity of the Enterprise based on a set of sustainability differentiators. The sustainability differentiator is obtained, based on at least one of a strength parameter, a spread parameter, a duplicity parameter, and a difference parameter Further, a plurality of decomposed fragments of intellectual property landscapes are obtained by analyzing the sustainable IP in atomicity based on a plurality of intermediate datasets and data structures. The method further comprises creating a sustainable and optimized IP portfolio for the Enterprise by processing at least one of the sustainable IP in atomicity and the plurality of decomposed fragments based on optimization parameters and at least one multiple objective portfolio optimization function. An integrated system is developed that enables the method in totality.