Production Management Work Orders for Time and Cost Analysis
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Solution Overview
Problem
Existing work order management systems fail to provide comprehensive time and cost analysis for data governance processes, leading to inefficient manpower allocation and delays in digital transformation due to the inability to evaluate completion time and cost effectively.
Innovation Solution
A production management analysis method and system that generates and modifies work orders, tracks order statuses, and creates visual charts to analyze process durations and idle percentages, enabling better manpower allocation and project management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If work order management system is used to track data governance processes, then task completion can be confirmed and traced, but time and cost analysis information cannot be obtained
Solution Approach 1:
The patent segments the work order information into multiple dimensions: basic work order data, status change records with timestamps, and aggregated statistical data. By dividing the information structure, the system can track completion status while simultaneously capturing time and cost parameters for analysis.
Solution Approach 2:
The patent adds temporal and cost dimensions to the traditional work order management system. By recording status change timestamps and calculating duration, cost, and idle time metrics, the system transforms from simple task tracking to comprehensive project analysis that includes time and cost information.
2Productivity
If traditional work order system is used, then task execution can be monitored, but overall time cost of project cannot be understood
Solution Approach 1:
The patent implements feedback mechanisms by automatically calculating and presenting time cost metrics (duration, idle time, efficiency) based on status change records. This feedback loop provides managers with real-time insights into overall project time costs without disrupting task execution monitoring.
Solution Approach 2:
The patent performs preliminary calculations of time and cost metrics by recording status change timestamps as they occur. Rather than requiring manual time tracking, the system proactively captures timing data throughout the workflow and pre-computes analytical metrics for immediate availability.
3Ease of operation
If no time and cost analysis is performed, then data governance progress cannot be effectively managed, but additional costs occur due to improper manpower allocation
Solution Approach 1:
The patent enables self-service management by automatically generating time and cost analysis reports from work order status changes. The system serves itself by computing duration, idle time, and efficiency metrics without requiring external manual intervention, allowing managers to easily monitor and manage data governance progress while optimizing resource allocation.
4Device complexity
If work order information is used only for completion confirmation, then simple tracking is achieved, but evaluation of completion time and cost is impossible
Solution Approach 1:
The patent performs preliminary data capture by recording status change timestamps as they occur during work order execution. This preliminary action ensures that all necessary timing data is captured in real-time, enabling precise completion time and cost evaluation without adding complexity to the tracking process.
Solution Approach 2:
The patent enhances the work order information structure by adding temporal dimensions (status change timestamps, duration calculations) and cost dimensions (idle time, efficiency metrics). This dimensional expansion enables precise measurement of completion time and cost while maintaining the simplicity of the underlying tracking mechanism.
Data Source
AI summary
A production management analysis method is provided. The production management analysis method includes obtaining a plurality of work orders every a predetermined time interval, each work order corresponding to a process, and each work order including information of an order status of the work order, wherein the plurality of work orders are generated by a work order processing device; determining order statuses and corresponding candidate status time of the plurality of work orders when obtaining the plurality of work orders each time, so as to generate a work order change table; determining processing time of the process corresponding to the plurality of work orders according to the work order change table to generate a process duration table; and creating a production management visual chart according to the work order change table, the process duration table and a process reference table.