Dynamic Sustainability Search Engine Ranking
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Solution Overview
Problem
Current approaches to assessing and communicating the sustainability of products are vague and ambiguous, often ignoring important factors and making it difficult for consumers and manufacturers to locate reliable information on environmental and socio-environmental impacts.
Innovation Solution
A dynamic sustainability search engine that analyzes data elements based on predetermined sustainability scores or user-defined weights, ranking results according to sustainability factors such as environmental, human, and financial impact, facilitating informed decision-making and efficient information retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional sustainability seals and certifications are used, then products can be marked as environmentally friendly, but the information provided remains vague and ambiguous without clear details on actual environmental impact
Solution Approach 1:
The patent segments sustainability assessment into multiple discrete factors (environmental, social, economic) that can be independently evaluated and weighted. Each factor is broken down into specific measurable criteria, allowing detailed information to be organized in a structured manner rather than presented as a single vague certification label.
Solution Approach 2:
The system transforms qualitative sustainability claims into quantitative parameters by assigning numerical weights to different sustainability factors. This allows the sustainability information to be expressed in measurable terms that can be compared, ranked, and analyzed objectively, converting ambiguous marketing claims into precise data-driven assessments.
2Measurement precision
If comprehensive sustainability factors are evaluated, then accurate sustainability assessment is achieved, but the complexity of analyzing and ranking multiple factors increases
Solution Approach 1:
The patent manages complexity by transforming multiple sustainability factors into a unified numerical scoring system. By converting diverse qualitative factors into quantifiable parameters with assigned weights, the system can process complex sustainability assessments through standardized mathematical operations rather than requiring complex qualitative analysis for each factor.
Solution Approach 2:
The system creates a simplified digital representation (copy) of the complex sustainability assessment process. Instead of requiring users to directly analyze multiple complex sustainability factors, the search engine generates a simplified ranked list based on pre-computed sustainability scores, copying the essential information in an easily consumable format.
3Adaptability or versatility
If user-defined weights are allowed for sustainability factors, then adaptability to different user preferences is improved, but the difficulty of determining and comparing sustainability scores increases
Solution Approach 1:
The patent implements dynamic weighting where users can adjust the importance of different sustainability factors based on their preferences. The system adapts the sustainability ranking in real-time based on user-defined weights, allowing the same search to produce different results based on individual user priorities for environmental, social, or economic factors.
Solution Approach 2:
The system manages the complexity of user-defined weights by treating them as adjustable parameters in a mathematical formula. Users can modify weight parameters for different sustainability factors, and the system automatically recalculates sustainability scores using these parameter changes, transforming a complex multi-criteria decision problem into a manageable parameter adjustment interface.
Data Source
AI summary
The innovation relates to systems and/or methodologies for facilitating dynamic sustainability searches. A sustainability search component executes a query, and returns one or more results that satisfy a set of search criteria and a set of sustainability factors. The search criteria can include keywords, such as product types, process types, and additional features related to the keywords, such as price, location, brand, and so forth. The sustainability factors are alternative cost measures for a given process, product, or plant element. The sustainability search component can analyze the returned results, and rank the results based on sustainability.