Supply Chain Risk Evaluation Using Dynamic Spatial Scales
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Solution Overview
Problem
Conventional supply chain risk evaluation systems fail to accurately assess risks on appropriate scales, leading to incorrect or unnecessarily detailed observations, which hinders effective risk management.
Innovation Solution
A supply chain managing device and method that includes a risk data obtaining section, a risk degree calculating section, a scale calculating section, and a risk estimating section to determine and adjust risk values based on appropriate spatial scales, incorporating user input and risk type considerations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If risk data is collected on different scales (country, municipality, latitude/longitude), then comprehensive risk coverage is achieved, but measurement precision deteriorates due to scale inconsistency
Solution Approach 1:
The patent changes the parameter of spatial scale from fixed to dynamic by introducing a scale calculation mechanism that determines the appropriate scale level based on risk degree. This allows the system to adapt the scale parameter according to the specific risk being evaluated, resolving the contradiction between comprehensive coverage and measurement precision.
Solution Approach 2:
The system makes the spatial scale dynamic rather than static by calculating the appropriate scale level based on the risk degree of the evaluated object. This dynamic adjustment allows the same risk evaluation system to work accurately across different spatial levels (country, municipality, latitude/longitude) without compromising measurement precision.
2Adaptability or versatility
If risks are observed on the largest scale, then broad risk coverage is achieved, but measurement precision deteriorates due to loss of detailed information
Solution Approach 1:
The patent applies local quality by assigning different scale levels to different risk evaluation targets based on their characteristics. High-level risks (affecting entire supply chains) are evaluated at country level, while localized risks are evaluated at municipality or latitude/longitude level, ensuring each risk is observed at the appropriate precision level.
Solution Approach 2:
The system changes the spatial scale parameter dynamically based on the risk degree calculation. When a risk affects a broad area, the scale is set to country level; when it affects a localized area, the scale is refined to municipality or coordinate level, thus maintaining measurement precision while achieving broad coverage.
3Measurement precision
If risks are observed on fine scale (latitude/longitude), then measurement precision is improved, but device complexity increases due to data processing requirements
Solution Approach 1:
The system applies partial action by calculating the appropriate scale level based on risk degree rather than always using the finest scale. This avoids the excessive data processing complexity of latitude/longitude level evaluation for all risks, while still achieving high precision when needed for significant risks.
Solution Approach 2:
The patent changes the spatial resolution parameter from maximum (latitude/longitude) to an optimized level based on risk degree. This parameter adjustment reduces data processing complexity by avoiding unnecessary fine-scale analysis for low-priority risks while maintaining high precision for critical risks.
Data Source
AI summary
Provided are a supply chain managing device, a supply chain managing method, and a supply chain management system that can evaluate a risk to a supply chain with higher accuracy by indicating the risk to the supply chain on the basis of a more appropriate scale.The supply chain managing device includes a risk data obtaining section configured to obtain risk data, a risk degree calculating section configured to obtain a risk degree corresponding to a type of the risk on the basis of the risk data, a scale calculating section configured to obtain a scale as a spatial position suitable for representing the risk, on the basis of the risk degree, and a risk estimating section configured to obtain the risk value at a specified spatial position, the risk value corresponding to the scale.