Resource Usage Management System Item-by-Item Tracking
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Solution Overview
Problem
Current resource usage management systems fail to accurately and efficiently track and aggregate resource usage amounts, particularly in complex production environments like mixed flow production, leading to difficulties in identifying and managing resource usage per item type.
Innovation Solution
A resource usage amount management system that stores process management data including task, element, and environment information, allowing for item-by-item calculation and aggregation of resource usage, using a process management model that identifies and aggregates resource usage amounts across multiple 4M elements (Man, Machine, Method, Material) and suppliers, enabling detailed tracking and visualization of CO2 emissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If resource usage management systems use traditional aggregation methods, then overall resource usage can be tracked, but detailed item-by-item resource usage cannot be accurately identified
Solution Approach 1:
The patent segments resource usage tracking into hierarchical levels: facility-level aggregation, production line-level details, and item-by-item tracking. This segmentation allows the system to provide both overall resource usage summaries and detailed item-specific data without requiring a single complex system to handle all granularities simultaneously, thus improving measurement precision while managing system complexity.
Solution Approach 2:
The patent introduces a new dimensional approach by creating a multi-level hierarchical structure for resource usage data. Instead of flat aggregation, the system organizes data across multiple dimensions (facility → production line → item), enabling precise item-by-item tracking while maintaining overall system visibility through the hierarchical aggregation framework.
2Measurement precision
If the system tracks resource usage in detail for each item, then accurate resource management is achieved, but data processing complexity and time increase
Solution Approach 1:
The patent implements preliminary action by pre-calculating and storing resource usage coefficients and conversion factors during system setup and calibration phases. This preliminary preparation allows the runtime system to quickly retrieve and apply pre-defined parameters when tracking resource usage, significantly reducing real-time data processing time while maintaining detailed item-by-item tracking accuracy.
3Ease of operation
If traditional resource management systems aggregate data at high level, then processing is simpler, but detailed analysis per item type becomes impossible
Solution Approach 1:
The patent applies the nested doll principle by creating a nested hierarchical data structure where item-specific resource usage data is nested within production line data, which is nested within facility-level aggregation. This nested structure allows the system to easily process and display aggregated high-level data while preserving and enabling access to detailed item-specific information when needed, thus maintaining ease of operation without losing critical item-level details.
Data Source
AI summary
A resource usage amount management system stores process management data representing a flow of a plurality of tasks related to production or provision of an item. For each of the tasks, the process management data includes: task information that includes information related to the task with respect to each item related to the task; element information that includes information related to each of a plurality of elements associated with the task, and is associated with the task information on the task; and environment information that includes information related to the resource usage amount for each of the plurality of elements, and is associated with the element information on the element. The resource usage amount management system calculates the resource usage amount in an item-by-item basis, according to information represented by the process management data, and association of information.