Adaptive Data-Flow Processing for Automatic Business Task Response
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Solution Overview
Problem
Traditional business process management systems struggle to effectively sense changes in business data and respond promptly, relying heavily on user decisions, which hinders efficient optimization of management behavior and knowledge encapsulation.
Innovation Solution
A business behavior management system and method that operates from a data-flow perspective, utilizing a storage unit and processing unit to execute modules for project, model, and task management, enabling automatic project initiation, data processing, and efficient task execution based on business data changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional business process management systems are used, then user decision-making is supported, but the system cannot effectively sense changes in business data and respond promptly
Solution Approach 1:
The system enables self-service through automated data sensing and response mechanisms. The business behavior management system automatically detects data changes, retrieves relevant information, and executes predefined actions without requiring manual user intervention, thus achieving prompt automatic response to business data changes
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring business data changes and automatically triggering appropriate responses. The system senses data state changes, retrieves relevant business information based on these changes, and executes corresponding actions, creating a closed-loop feedback system that responds promptly to business events
2Loss of information
If traditional business process management systems rely on user decisions, then flexibility in decision-making is maintained, but knowledge of decision-making behavior cannot be effectively encapsulated and passed on
Solution Approach 1:
The system applies copying by capturing and storing decision-making knowledge and business rules in a structured manner. The system copies decision logic into executable business behavior definitions that can be retrieved and applied consistently, preserving organizational knowledge without requiring manual user decision-making each time
Solution Approach 2:
The system implements preliminary action by pre-defining business behaviors, decision rules, and response actions before they are needed. When data changes occur, the system retrieves and executes pre-configured behaviors, eliminating the need for real-time human decision-making while maintaining consistent organizational knowledge
3Productivity
If traditional business process management systems are used, then existing processes can be managed, but optimization of management behavior and concepts is difficult
Solution Approach 1:
The system applies dynamics by enabling flexible configuration and optimization of business behaviors. The system allows dynamic adjustment of business logic, data retrieval rules, and response actions based on changing management requirements, making it adaptable to new management concepts while maintaining operational efficiency
Solution Approach 2:
The system implements universality by providing a comprehensive business behavior management framework that can handle multiple types of business processes, data changes, and response scenarios. The unified system architecture supports diverse management concepts and can be applied across different business contexts, enhancing both productivity and adaptability
Data Source
AI summary
A business behavior management system and method are provided. The business behavior management system includes a storage unit storing multiple modules, and a processing unit reading the storage unit to execute the modules. The processing unit executes a project management module to initiate a business project. The processing unit executes a model management module to obtain a business project definition and parses the business project to generate a business implementation model. The processing unit executes a task management module to run a corresponding first business task in the business implementation model to cause the first business task to generate a second business data. The project management module determines whether a second data state of the second business data is an end state to end the business project.