Self-Optimizing Business Process Applications

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Solution Overview

Problem

Current business process applications lack the ability to dynamically adapt and optimize based on user interactions and historical data, limiting their effectiveness in improving workflow efficiency and process improvements within content management systems.

Innovation Solution

The development of configurable and self-optimizing business process applications that detect user interactions, generate guidance, allow for exceptions, and monitor performance metrics, using case data to refine and improve business processes by analyzing usage patterns and user inputs, and storing this data for future iterations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Stability of the object's composition

If business process applications use fixed predefined workflows, then process standardization is improved, but adaptability to user needs and actual business scenarios deteriorates

Engineering Contradiction:

Improveprocess standardizationVSAvoidadaptability to user needs

Core Design Contradiction:

Stability of the object's compositionVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic business process applications that automatically adjust workflows based on real-time performance metrics and user interactions. The system transitions from static predefined processes to dynamic adaptive processes that learn from usage patterns and continuously optimize themselves, resolving the contradiction between standardization and adaptability.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates continuous feedback loops where performance metrics from workflow executions are collected, analyzed, and used to generate recommendations for process improvements. This feedback mechanism enables the system to maintain standardization while adapting to actual business needs through data-driven optimizations.

Inventive Principle:

Principle #23Feedback

2Reliability

If business process applications implement rigid predefined actions, then process control is improved, but workflow efficiency and user satisfaction deteriorate

Engineering Contradiction:

Improveprocess controlVSAvoidworkflow efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system dynamically adjusts process control based on runtime conditions and performance data. Rather than enforcing rigid predefined actions, the system adapts workflows in real-time to optimize efficiency while maintaining necessary controls, thereby improving productivity without sacrificing reliability.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes process parameters dynamically based on performance metrics and user behavior patterns. By adjusting workflow parameters in real-time rather than maintaining fixed parameters, the system achieves both effective control and improved workflow efficiency.

Inventive Principle:

Principle #35Parameter changes

3Device complexity

If business process applications lack self-optimization capabilities, then system simplicity is improved, but continuous process improvement and performance optimization deteriorate

Engineering Contradiction:

Improvesystem simplicityVSAvoidcontinuous process improvement

Core Design Contradiction:

Device complexityVSProductivity

Solution Approach 1:

The patent implements self-service automation where the system automatically monitors its own performance, identifies optimization opportunities, and executes improvements without requiring external intervention. This self-optimizing capability enables continuous process improvement while maintaining relative system simplicity through automated rather than manual optimization processes.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system uses automated feedback loops to continuously monitor performance metrics and trigger optimization actions. This self-contained feedback mechanism enables continuous improvement while keeping the system relatively simple by automating the optimization process rather than requiring complex manual management.

Inventive Principle:

Principle #23Feedback

4Loss of energy

If business process applications do not track user interactions, then data collection overhead is reduced, but ability to generate insights and recommendations for process improvement deteriorates

Engineering Contradiction:

Improvedata collection overheadVSAvoiduser interaction insights

Core Design Contradiction:

Loss of energyVSLoss of information

Solution Approach 1:

The system automatically collects and analyzes user interaction data as part of its self-optimization process. By making data collection an automated self-service function rather than a manual process, the system minimizes overhead while maximizing the value of collected information for generating improvement recommendations.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS10476971B2Configurable and self-optimizing business process applications

Publication Date: 2019.11.12 HYLAND UK OPERATIONS LTD

AI summary

Configurable and self-optimizing business process applications can be used in conjunction with features of a content management system, for example including generating and providing guidance relating to a decision or action point within a workflow instance, allowing a user to invoke an exception that includes a deviation from a set of actions defined by the business process application, saving a modified version of the business process application in the content management repository, and monitoring performance metrics of the business process application and the modified business process application when used by additional users in additional workflow instances. Methods, systems, and articles of manufacture are described.