Chemical Precursor Ranking for Low-Impact Supply Chain Selection
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Solution Overview
Problem
Existing systems lack reliable methods for selecting chemical precursors that optimize environmental impact reduction and economic benefit, as supplier data is unreliable and incomplete, hindering effective supply chain management.
Innovation Solution
A computer-implemented method and platform that receive material and environmental impact data, apply an environmental impact calculation model, and rank chemical precursors based on predefined minimum values to select optimal precursors for production, ensuring reliable data and economic incentives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If supplier data is used for environmental impact calculations, then data availability is improved, but data reliability deteriorates
Solution Approach 1:
The patent introduces an intermediary verification system that acts as a mediator between suppliers and the environmental impact calculation model. This system validates supplier-provided data through multiple checks including data completeness verification, consistency validation against industry standards, and cross-referencing with historical data, thereby maintaining data availability while improving reliability
Solution Approach 2:
The patent implements feedback mechanisms where the environmental impact calculation model provides validation results back to suppliers. When supplier data fails verification, specific feedback is provided indicating what corrections are needed, allowing suppliers to improve their data quality while maintaining continuous data submission
2Measurement precision
If environmental impact metrics are calculated with multiple dimensions, then measurement precision is improved, but calculation complexity deteriorates
Solution Approach 1:
The patent segments the environmental impact calculation into multiple independent dimensions (carbon footprint, water usage, energy consumption, waste generation, etc.). Each dimension is calculated separately using dedicated sub-models and then aggregated to provide comprehensive environmental impact assessment, improving measurement precision while managing complexity through modular architecture
Solution Approach 2:
The patent allows dynamic adjustment of calculation parameters including the selection of relevant environmental dimensions based on product type, industry sector, and regulatory requirements. This enables the system to include only necessary dimensions for each specific case, improving measurement precision where needed while reducing unnecessary complexity
3Object-affected harmful factors
If chemical precursors are selected based on environmental optimization, then environmental impact reduction is improved, but economic benefit deteriorates
Solution Approach 1:
The patent enables dynamic adjustment of optimization parameters including environmental weight factors, cost thresholds, and sustainability targets. This allows organizations to balance environmental impact reduction with economic benefits according to their specific priorities, regulatory requirements, and market conditions, preventing extreme trade-offs
Data Source
AI summary
A computer-implemented method for producing a product by selection of one or more chemical precursors, the method comprising: (a) receiving, from an interface, at least two data sets comprising (i) material data related to chemical or physical properties of the one or more chemical precursors and (ii) environmental impact metrics data related to environmental impact metrics for the one or more chemical precursors necessary for manufacturing the product; (b) providing an environmental impact calculation model describing a functional relationship between the material data and the environmental impact metrics data; (c) optionally retrieving, from a database, historical environmental impact metrics data for the one or more chemical precursors, the historical environmental impact metrics data comprising historic environmental impact metrics corresponding to the one or more chemical precursors; (d) ranking the at least two data sets by a distance from predefined minimum values in multiple dimensions of the environmental impact calculation model and generating thereon based ranking results; and (e) optionally obtaining a degree of matching between the ranking results of the environmental impact calculation model and the historical environmental impact metrics data and generating thereon based matching results; and (f) selecting one or more chemical precursors out of a plurality of chemical precursors based on the ranking results and/or the matching results and adding the selected one or more chemical precursors to a production process of the product.