Supply Chain Traceability Data Collection System
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Solution Overview
Problem
Conventional systems face challenges in efficiently collecting traceability information across a supply chain, as they require time-consuming information exchange between multiple companies, making it difficult to gather the latest data on greenhouse gas emissions and other traceability metrics.
Innovation Solution
An information processing device and method that access first information on product traceability and second information on product relationships, allowing the system to specify accounts with update authority and notify them of deadlines to update traceability information, streamlining the collection process without relying on inter-company information relaying.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional inter-company data communication systems are used to collect traceability information, then information can be exchanged between companies, but the process is time-consuming and inefficient
Solution Approach 1:
The system performs preliminary actions by pre-establishing a supply chain management database that stores traceability information from multiple companies before the actual data collection process. The database is pre-configured with data structures and access protocols, allowing rapid retrieval and processing of traceability information without time-consuming on-site information exchange during audits or inspections.
Solution Approach 2:
The invention introduces a centralized supply chain management database as an intermediary between multiple companies in the supply chain. This database acts as a mediator that collects, stores, and manages traceability information from all companies, eliminating the need for direct time-consuming information exchange between each company and the auditing party. The database intermediary enables efficient data access while maintaining data integrity across the supply chain.
2Quantity of substance
If traceability information is collected through traditional information exchange methods, then data can be gathered from multiple companies, but the process becomes complex and cumbersome
Solution Approach 1:
The invention merges the traceability information collection functions of multiple companies into a single centralized database system. Instead of managing separate information exchange processes between each company, the system combines all traceability data into one unified database structure, simplifying the collection process while maintaining comprehensive data coverage across the entire supply chain.
Solution Approach 2:
The supply chain management database is designed with universal functionality to handle traceability information from diverse companies and product types. The database uses standardized data structures and protocols that can accommodate various companies' traceability requirements, eliminating the need for complex company-specific data collection processes while still gathering comprehensive traceability information.
3Measurement precision
If traditional data collection methods are used, then information can be obtained from supply chain companies, but the latest traceability data cannot be efficiently gathered
Solution Approach 1:
The centralized database system enables continuous collection and updating of traceability information from all supply chain companies. Instead of periodic or one-time data collection, the system maintains continuous data streams and updates, ensuring that the latest traceability information is always available. This continuous action eliminates time delays while maintaining data accuracy and freshness.
Solution Approach 2:
The system implements feedback mechanisms where companies can update their traceability data in the centralized database, and the system provides feedback by immediately reflecting these updates across all queries and reports. This real-time feedback loop ensures that the latest traceability information is captured and processed without time delays, maintaining both accuracy and timeliness of the data.
Data Source
AI summary
The information processing device is a device that can access first information regarding the traceability of the products of each company included in the supply chain and second information indicating the relationship between the products of each company included in the target product. The control unit of the information processing device obtains the update deadline of the first information. The control unit of the information processing device references the second information to specify a plurality of included products included in the target product and a plurality of first accounts each having an authority to update the first information for each of the plurality of included products. The control unit then notifies each identified first account of a request for updating the first information by the update deadline.