Hierarchical eSIM Profiles for In-Transit Assembly Tracking
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Solution Overview
Problem
Existing supply chain management systems struggle to effectively track the assembly process of complex products, leading to inefficiencies and potential supply chain volatility due to the inability to monitor the assembly status of individual components.
Innovation Solution
A system and method utilizing intelligent eSIM profile management to validate and dynamically update the assembly sequence of product components, enabling tracking of assembly progress through blockchain-enabled systems and digital twin simulations, with eSIM profiles reflecting component status and hierarchical relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional supply chain management systems are used, then system simplicity is maintained, but the ability to track assembly progress and monitor component status is insufficient
Solution Approach 1:
The system segments the supply chain into hierarchical levels (e.g., component level, assembly level, product level) and tracks each segment independently through dedicated eSIM profiles. This allows detailed tracking of assembly progress for individual components while organizing the overall complex system into manageable segments that can be monitored separately yet interconnectedly.
Solution Approach 2:
eSIM profiles serve as intermediaries between physical components and the digital tracking system. Each component or assembly level has a corresponding eSIM profile that mediates the connection between physical assembly operations and digital information storage, enabling tracking without requiring direct complex integration of all system components.
2Productivity
If real-time tracking of assembly status is implemented, then supply chain efficiency is improved, but system complexity increases
Solution Approach 1:
The system uses autonomous vehicles equipped with sensors to automatically detect and report assembly status without requiring manual intervention or complex centralized control systems. The vehicles self-monitor their cargo and communicate status updates directly to the blockchain, enabling real-time tracking through distributed self-service monitoring rather than complex centralized tracking.
Solution Approach 2:
The patent replaces complex mechanical tracking systems with digital eSIM profiles and blockchain technology. Instead of using complex physical tracking mechanisms, the system uses digital identifiers stored on blockchain to represent assembly status, substituting mechanical complexity with information technology that is easier to implement and scale.
3Manufacturing precision
If detailed monitoring of component assembly is implemented, then assembly validation accuracy is improved, but the cost and complexity of the system increases
Solution Approach 1:
The system creates digital copies of physical assembly states through eSIM profiles that store information about component status and assembly progression. Instead of directly monitoring every physical detail with complex sensors, the system uses digital representations (copies) of assembly state stored on blockchain, achieving validation accuracy through information copying rather than direct physical measurement.
Solution Approach 2:
The system performs preliminary actions by pre-configuring eSIM profiles with expected assembly sequences and validation criteria before the assembly process begins. This allows the system to validate assembly accuracy by comparing actual assembly progress against pre-established digital templates, reducing the need for complex real-time monitoring during assembly operations.
Data Source
AI summary
In an approach for validating a sequence of assembly of a product and dynamically updating an eSIM profile associated with each component part of the product so that a user can track a degree of progress of the sequence of assembly, a processor receives a delivery request from a user to assemble and to deliver a product. A processor coordinates a sequence of assembly of one or more component parts to assemble the product while in transit via an autonomous vehicle. A processor tracks a degree of progress of the sequence of assembly using a blockchain enabled system. Responsive to determining the product is assembled, a processor performs a digital twin simulation of an assembly to determine whether the assembly was completed as per the sequence of assembly. A processor dynamically updates an eSIM profile of each component part of the product with a status of assembly.