Project Management via Child Project Segmentation and Data Merging
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Solution Overview
Problem
Conventional project management methods are inefficient in handling complex projects with multiple task types, leading to longer project completion times due to sequential processing of tasks, where bottlenecks in one task type cause delays in others.
Innovation Solution
The method involves dividing a project into smaller child projects based on minimum unit tasks, allowing each to be processed independently by different task processing terminals, and using data merging and filtering to manage and combine results into a final format template.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a conventional single-task project structure is used, then the project management is simple, but the project completion time is extended due to sequential processing of multiple task types
Solution Approach 1:
The patent divides a complex project into multiple child projects, each corresponding to a specific task type. This segmentation allows independent parallel processing of different task types while maintaining overall project coordination, thereby reducing total completion time without overwhelming management complexity.
Solution Approach 2:
The patent introduces a hierarchical dimension to project management by creating parent-child project relationships. This dimensional change enables simultaneous management of multiple task types at different levels, transforming sequential processing into a parallel hierarchical structure that reduces overall project duration.
2Ease of operation
If multiple task types are processed sequentially in a single project, then the management structure remains simple, but bottlenecks in one task type cause delays in other tasks
Solution Approach 1:
By segmenting the project into child projects for different task types, the system enables independent parallel execution of tasks. This eliminates bottlenecks where one task type would delay others, while the parent-child relationship structure maintains manageable operational complexity through automated coordination.
Solution Approach 2:
The patent merges multiple child projects under a single parent project umbrella, combining their results into a unified final output. This merging approach maintains operational simplicity at the parent level while enabling parallel processing efficiency at the child project level, resolving the contradiction between ease of operation and productivity.
3Loss of time
If a project is divided into multiple child projects for parallel processing, then the total project time is reduced, but the data management and result merging complexity increases
Solution Approach 1:
The patent implements a universal data merging mechanism that automatically integrates results from diverse child projects into a standardized final format. This multi-functional merging system handles different task types and data formats uniformly, reducing data management complexity despite the increased number of child projects enabling parallel processing.
Solution Approach 2:
The parent project acts as an intermediary that coordinates between multiple child projects and the final result aggregation. This intermediary structure manages the complexity of data merging from parallel child projects while maintaining simple interfaces for overall project control and result collection, thereby enabling time reduction without proportional increases in management complexity.
4Ease of manufacture
If tasks are processed in a conventional single-project structure, then resource allocation is straightforward, but resource utilization is suboptimal due to sequential processing
Solution Approach 1:
The patent segments the project into child projects that can be assigned to different workers or processing terminals simultaneously. This segmentation enables optimal resource utilization through parallel processing while maintaining straightforward resource allocation at the parent project level, as each child project independently manages its own resource assignments.
Solution Approach 2:
The patent introduces dynamic resource allocation where workers can be assigned to different child projects based on their expertise and availability. This dynamic approach optimizes resource utilization by matching workers to appropriate task types in parallel, while the hierarchical structure maintains allocation simplicity through the parent project's coordination role.
Data Source
AI summary
Disclosed are a method and device for managing a project by using data merging. 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.