Dynamic Hierarchical Process Flow Modeling System
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Solution Overview
Problem
Conventional process flow modeling systems are static, linear, and lack multi-dimensional, collaborative, and interconnected features, failing to capture and visualize the interdependent aspects of process flows effectively.
Innovation Solution
The development of a system that uses rule-based logic to create dynamic process models and process flows, allowing for hierarchical enterprise structures, traceable catalog elements, and smart signals to enhance data-driven and dynamic features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional process flow modeling systems are used, then the system structure is simple and easy to operate, but the system cannot capture and visualize interdependent process aspects effectively
Solution Approach 1:
The patent transitions from conventional linear, sequential process flow representations to multi-dimensional hierarchical models that capture interdependent aspects across multiple levels (enterprise, business process, process, activity). This dimensional expansion enables visualization of relationships between processes, data, materials, and resources that would be invisible in traditional single-line flowcharts.
Solution Approach 2:
The system segments process flows into hierarchical levels (enterprise level, business process level, process level, activity level) with traceable catalog elements. Each level can be independently analyzed and connected through standardized relationships, allowing complex interdependencies to be broken down into manageable segments while maintaining overall system context.
2Adaptability or versatility
If static process flow layouts are used, then the layout is simple and easy to understand, but the system cannot provide dynamic and collaborative features
Solution Approach 1:
The system enables dynamic process flow modeling where elements can be added, modified, or removed based on real-time data and user collaboration. The hierarchical structure allows dynamic exploration at different levels, and the system adapts to changing process requirements while maintaining traceability of changes across all levels.
Solution Approach 2:
The system incorporates feedback mechanisms that provide real-time information about process status, data flows, and material movements. Users receive feedback about the impact of changes at any hierarchical level on other parts of the process, enabling informed collaborative decision-making while maintaining system coherence.
3Measurement precision
If linear sequential process flows are used, then the flow representation is simple, but the system cannot measure interdependent aspects and process quality
Solution Approach 1:
The hierarchical process flow model serves multiple functions simultaneously: it represents process sequences, tracks data and material flows, measures process quality metrics, and enables collaborative editing. The same structural framework supports both simple linear representations at the activity level and complex interdependent analyses at the enterprise level, eliminating the need for separate measurement and representation systems.
Data Source
AI summary
A network system that provides logic-based parameters for dynamic digital construction of hierarchical process flows. The hierarchical arrangement organizes a process flow into enterprise hierarchy structures. The system will automatically capture rules and objectives configured in a rules database and apply the rules and objectives across the process flows. When conflicts are detected based on the rules and the parameters of the process flows, the system provides a smart signal to notify a user of the nature of the conflict.