Supply Chain Traceability Integration for Accurate Carbon Footprints
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Solution Overview
Problem
Current systems for tracking product traceability in supply chains face challenges in accurately calculating carbon footprints and other traceability information due to variations in units and time intervals between product shipments, leading to potential inaccuracies in greenhouse gas emissions and recycling rates.
Innovation Solution
An information processing device and method that acquire traceability information by integrating identification information of products and traceability-related data across multiple sections of a supply chain, using conversion factors and weighted averages to ensure accurate unit conversion and usage ratios, thereby enhancing the accuracy of carbon footprint and recycling rate calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traceability information is integrated across multiple sections with different units and time intervals, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary component that receives traceability information from multiple sections, performs unit conversions using conversion factors, integrates data with different time intervals, and distributes the integrated information back to sections. This mediator approach resolves the contradiction by centralizing the complex integration logic, thereby improving measurement precision while managing system complexity through a dedicated coordination hub rather than requiring complex peer-to-peer interactions between all sections.
Solution Approach 2:
The patent applies parameter changes by introducing conversion factors that transform traceability information between different units and time intervals. Each section can operate with its own local parameters and units, while the server dynamically adjusts parameters through conversion calculations to enable accurate integration. This allows the system to maintain simplicity at the section level while achieving high precision in the integrated traceability information through parameter transformation.
2Measurement precision
If unit conversion using conversion factors is implemented, then measurement precision is improved, but loss of information increases
Solution Approach 1:
The patent implements feedback mechanisms where the server receives traceability information, performs unit conversions using conversion factors, and returns the converted information to the originating sections. This feedback loop allows sections to verify and validate the converted data, ensuring that information loss is minimized. The feedback mechanism enables continuous refinement of conversion factors and verification of data integrity, thereby maintaining measurement precision while reducing information loss through iterative validation.
3Measurement precision
If integration of traceability information from multiple first lots is performed, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent applies preliminary action by having sections pre-calculate and store traceability information in standardized formats with associated conversion factors before integration is needed. When integration is required, the server can quickly retrieve pre-processed data and perform conversions without needing to gather and process raw data from multiple sources in real-time. This preliminary preparation significantly reduces processing time while maintaining high measurement precision through pre-validated data.
Solution Approach 2:
The patent segments the traceability information integration process into distinct operations: data collection from individual sections, unit conversion using conversion factors, integration calculation, and result distribution. By dividing the integration task into manageable segments that can be processed independently and in parallel, the system reduces overall processing time while maintaining accuracy through systematic handling of each segment with appropriate conversion and validation steps.
Data Source
AI summary
The server device executes first, second, and third processing. In the first processing, an association between identification information of a first lot of a first product and identification information of a second lot of a second product manufactured using the first product of the first lot is acquired. In the second processing, an association between identification information of the second lot of the second product and identification information of traceability-related information measured in manufacturing processing of the second product of the second lot is acquired. In the third processing, second traceability information obtained by tracing a process to the second product of the second lot is acquired by integrating first traceability information obtained by tracing a process to the first product of the first lot and traceability-related information on the second product of the second lot.