Dynamic Process Orchestration for Adaptable Workflow Execution
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Solution Overview
Problem
Conventional process orchestration approaches are rigid and lack adaptability and scalability, leading to potential process halts when environmental changes occur, affecting business outcomes and resource utilization in dynamic environments.
Innovation Solution
An outcome-driven process orchestration system that extracts and updates process information, including operational attributes, resources, and regulatory data, using data mining techniques to determine and adapt current models, ensuring efficient execution and resource optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If conventional predefined process orchestration is used, then process structure and control are maintained, but adaptability and scalability deteriorate
Solution Approach 1:
The patent applies dynamics by transforming the static, predefined process orchestration into a dynamic system that continuously adapts to changing conditions. The orchestration engine dynamically generates, modifies, and optimizes process models based on real-time data from event logs and process information, allowing the system to evolve its structure and behavior while maintaining operational stability through controlled adaptation mechanisms.
Solution Approach 2:
The patent implements parameter changes by modifying process model parameters based on extracted process information and performance outcomes. The system dynamically adjusts process parameters such as step sequences, resource allocations, and control logic to optimize process execution while maintaining structural integrity through systematic parameter evolution rather than rigid predefined configurations.
2Ease of manufacture
If rigid predefined process orchestration is used, then implementation simplicity is maintained, but productivity and responsiveness to anomalies deteriorate
Solution Approach 1:
The patent applies self-service by enabling the process orchestration system to automatically extract process information from event logs, generate process models, and optimize execution without requiring manual reconfiguration for each change scenario. The system autonomously adapts to anomalies and changing conditions by self-learning from process outcomes and self-adjusting orchestration parameters, thereby maintaining implementation simplicity while dramatically improving productivity.
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring process execution outcomes and using this information to dynamically adjust process orchestration. The system extracts feedback from event logs and performance metrics, then uses this feedback to optimize process models and improve execution efficiency, creating a closed-loop system that continuously enhances productivity while maintaining operational simplicity.
3Adaptability or versatility
If manual process management with individual discretion is used, then flexibility in decision-making is improved, but consistency and reliability of process outcomes deteriorate
Solution Approach 1:
The patent applies universality by creating a standardized process orchestration framework that applies consistent rules and logic across all process instances while still accommodating individual case variations. The system uses universal process models and decision logic that can be consistently applied to different scenarios, ensuring reliable and consistent outcomes while maintaining the flexibility to handle diverse process requirements through parameterized adaptations.
Data Source
AI summary
Systems and methods for orchestrating a process are disclosed. In an implementation, a system is configured to extract process information associated with the process. Based on the process information, the system is configured to determine a current model of performing the process based on the process information. The system is further configured to retrieve regulatory information associated with the process, wherein the regulatory information is indicative of at least one of a predefined policy, a predefined rule, and a predefined regulation associated with the process. Further, the system is configured to update the current model based on at least one of the process information and the regulatory information for obtaining a predefined outcome of the process.