Project Management Device Using Data Filtering for Sequential Child Tasks
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Solution Overview
Problem
Existing project management methods struggle with efficiently processing complex projects involving multiple tasks, leading to increased project duration and resource inefficiencies.
Innovation Solution
A project management method and device that utilize data filtering to classify projects into minimum unit tasks, allowing for sequential processing of child projects, where source data from one project is filtered and used as source data for the next project.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If projects are processed as single complex units, then project structure is simple, but project duration increases and productivity decreases
Solution Approach 1:
The patent divides a complex project into multiple child projects, each representing a minimum unit task. This segmentation allows parallel processing of independent tasks while maintaining overall project coordination, thereby improving productivity without requiring complex manual management of task dependencies
2Productivity
If manual data copying is used between tasks, then data processing is straightforward, but time consumption increases and productivity decreases
Solution Approach 1:
The patent implements automatic data copying mechanisms where result data from one child project is automatically transferred and used as source data for subsequent child projects. This eliminates manual data copying operations and associated time losses while maintaining data integrity through systematic data flow management
3Productivity
If sequential processing is used for all tasks, then task execution is simple, but project duration increases and productivity decreases
Solution Approach 1:
The patent implements a dynamic processing flow where the system automatically determines whether child projects can be processed in parallel or must be executed sequentially based on data dependencies. This dynamic adaptation allows maximum parallelization of independent tasks while maintaining correct sequential execution when data flow requirements demand it, thereby improving overall project execution speed
Data Source
AI summary
Disclosed are a method and device for managing a project by using data filtering. A project is efficiently operated by dividing a project based on a minimum unit task and designing a plurality of child projects connected in sequential order such that a plurality of child projects proceed in order.