Traceability Data Standardization in Supply Chain Platforms
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Solution Overview
Problem
In supply chain systems, ensuring the accuracy and appropriateness of traceability information, such as carbon footprint calculations, across multiple companies is challenging due to differences in methods and data units, leading to potential unfavorable results for the entire supply chain.
Innovation Solution
An information processing device and method that acquires traceability-related information from target products, sets a reference value based on data from similar products within the supply chain, and outputs the appropriateness of this information using this reference value, excluding anonymous or non-participating companies to ensure authenticity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traceability information is collected from multiple companies in the supply chain, then the quantity of traceability data increases, but the accuracy and appropriateness of the information deteriorates due to differences in methods and data units
Solution Approach 1:
The patent applies parameter changes by establishing standardized reference values for traceability parameters (such as carbon footprint calculation methods and data units). The system transforms diverse company-specific parameters into standardized parameters by comparing them against reference values from reference products, thereby resolving the contradiction between collecting data from multiple companies and maintaining data accuracy.
2Adaptability or versatility
If companies use different methods and data units for traceability calculations, then the adaptability of the system increases, but the reliability of the aggregated information deteriorates
Solution Approach 1:
The patent introduces reference products as intermediaries between companies with different calculation methods. The reference products serve as a mediator that translates diverse company-specific traceability data into comparable standardized data, allowing the system to maintain adaptability to different methods while ensuring reliability through the intermediary reference framework.
3Quantity of substance
If all companies in the supply chain participate in the platform, then the completeness of traceability data improves, but the difficulty of ensuring data authenticity worsens due to anonymous and non-participating companies
Solution Approach 1:
The patent segments the supply chain companies into two categories: participating companies that provide data through the platform and non-participating companies whose data is obtained through other means. This segmentation allows the system to maintain completeness of traceability data while managing authenticity verification differently for each segment, reducing the overall difficulty of ensuring data authenticity.
Data Source
AI summary
In an information processing device that executes information processing related to a platform used to collect product information of a company included in a supply chain, a control unit acquires traceability-related information included in product information of a target product that is a product of a target company. The control unit sets a reference value according to traceability-related information included in product information of one or more reference products that are products of one or more companies included in the supply chain. The control unit outputs appropriateness of the traceability-related information of the target product using the set reference value.