Single-pegging Graph Conversion for Supply Chain Planning
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Solution Overview
Problem
Conventional supply chain management systems face complexity in establishing production planning due to multi-pegging graphs, making it difficult to identify failure stages and analyze production planning, especially when dealing with hundreds or thousands of parts and manufacturing processes.
Innovation Solution
A single-pegging-based product supply chain management system that converts multi-pegging processes into single-pegging graphs by dividing each stage into a single node, allowing for the extraction of single-pegging graphs and repeating the process to generate a group of single-pegging graphs, facilitating easier analysis and production planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multi-pegging graphs are used to represent production processes, then comprehensive supply chain management is achieved, but system complexity and difficulty in identifying failure stages increase
Solution Approach 1:
The patent segments the complex multi-pegging graph into multiple single-pegging graphs, each representing a specific production stage or product family. This division maintains the comprehensive supply chain management capability while reducing the complexity of individual graphs, making them easier to analyze and manage.
Solution Approach 2:
The patent introduces an intermediary conversion process that transforms multi-pegging graphs into single-pegging graphs. This intermediary step acts as a mediator that preserves the essential supply chain relationships while simplifying the graph structure for easier analysis and failure identification.
2Loss of information
If detailed multi-pegging graphs are used to track all products and processes, then complete production planning information is available, but time required for analysis and planning increases
Solution Approach 1:
By segmenting the production planning process into multiple single-pegging graphs representing different stages, the system maintains complete production planning information across all segments while reducing the time required to analyze each individual segment compared to analyzing one large complex graph.
Solution Approach 2:
The patent applies partial action by focusing analysis on individual single-pegging graphs rather than the entire multi-pegging system at once. This allows for faster analysis of specific production stages while maintaining the ability to integrate results for complete production planning.
3Loss of time
If single-pegging graphs are used to simplify production planning, then analysis time is reduced, but detail information about multi-product relationships may be lost
Solution Approach 1:
The patent merges multiple single-pegging graphs to represent the complete production system. Each single-pegging graph simplifies a specific stage, but the combination of multiple such graphs preserves the detailed multi-product relationships across the entire supply chain, preventing information loss.
Data Source
AI summary
Provided is a single-pegging-based product supply chain management system, which manages a supply chain of products with respect to the demand for end products in a continuous process of supplying products to produce other products, represents the supply chain of each product as a node, and converts a multi-pegging process comprising a plurality of nodes in each stage into single-pegging graphs each comprising a single node in each stage by division. The system extracts a certain single-pegging graph from a multi-pegging graph in each stage, excludes the supply amount of the single-pegging graph extracted from the multi-pegging graph, and repeats the process of extracting another single-pegging graph, thus generating a group of single-pegging graphs. According to the system, since the supply chain is represented through only one correlation, it is possible to intuitively show the supply planning to allow a user to easily establish production planning and increase its accuracy.


