Dynamic Hierarchical Process Flow Modeling
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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 dynamic processes, and provide assessments of their quality and feasibility.
Innovation Solution
A system architecture that includes a process model system, enterprise system device, and employee computing device connected by a communication network, utilizing a process model application to create dynamic process models and flows, allowing for hierarchical enterprise structures, event and activity management, and data-driven visualization of process interdependencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional process flow systems use static, linear layouts, then the system structure is simple and easy to operate, but the system cannot capture or visualize interdependent aspects of dynamic processes
Solution Approach 1:
The patent transitions from conventional two-dimensional linear process flow diagrams to a three-dimensional hierarchical structure with multiple levels (parent-child relationships). This dimensional expansion enables visualization of process interdependencies, context relationships, and nested activities that cannot be represented in traditional flat layouts, directly resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The patent implements nesting by allowing child events or activities to be contained within parent events, creating a hierarchical structure where detailed process elements are nested within broader contextual frameworks. This nesting mechanism enables the system to capture dynamic interdependencies while maintaining organizational structure, addressing the adaptability-complexity contradiction.
2Adaptability or versatility
If conventional systems provide only sequential process flow views, then the layout is simple and easy to operate, but the system does not provide opportunities for data-driven dynamic features or interdependent aspect visualization
Solution Approach 1:
The patent implements dynamics by enabling the process flow model to adapt and reconfigure based on selected filters, criteria, and contextual relationships. Users can dynamically adjust the hierarchical structure, expand or collapse levels, and filter events based on multiple dimensions (time, resource, context), transforming a static diagram into an interactive dynamic system that maintains ease of operation while providing sophisticated visualization capabilities.
Solution Approach 2:
The patent segments the process flow into hierarchical levels (parent events, child events, activities) that can be independently manipulated, filtered, and visualized. This segmentation allows users to interact with specific portions of the complex system without being overwhelmed by the entire model, maintaining ease of operation while enabling data-driven dynamic features through selective exploration of hierarchical segments.
3Measurement precision
If conventional process flow systems lack hierarchical structures, then the system is simple and easy to operate, but the system cannot provide comprehensive view of process quality and feasibility assessments
Solution Approach 1:
The patent adds a hierarchical dimension to process flow representation, organizing elements across multiple levels (parent-child relationships) that enable precise measurement and assessment of process quality attributes at different granularities. This dimensional structure allows comprehensive evaluation of feasibility and quality metrics while maintaining operational simplicity through structured organization.
Solution Approach 2:
The patent implements preliminary action by pre-defining assessment criteria, metrics, and evaluation frameworks that are established before process execution. This allows systematic measurement of process quality and feasibility at any hierarchical level without requiring complex real-time calculations, maintaining measurement precision while reducing operational complexity through pre-established evaluation frameworks.
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. The system provides further a dynamic creation of an activity description when an input activity description corresponds to description data established within the system; displaying one or more catalog elements based on the determined correspondence of the activity description to the description data established within the system for selection by a user, generating a suggested rewritten activity description based on the description data established within the system based on the selection by the user, and displaying the suggested rewritten activity description in a graphical user interface for selection by the user.