Continual Improvement Management Platform with Interdependency Detection
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Solution Overview
Problem
Conventional approaches to continual improvement in enterprises are reactive, unstructured, and costly, often requiring consultants to identify improvement areas, and lack visibility into interdependencies between processes, leading to inefficient and disjointed improvement initiatives.
Innovation Solution
A cloud-based method for managing continual improvement initiatives, which includes creating records of improvement processes, setting monitored metrics, and tracking progress using real-time analytics, enabling users to identify and monitor tasks, and visualize progress towards goals, thereby aligning improvement processes with enterprise objectives and goals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional reactive approach to continual improvement is used, then improvement processes can be initiated, but the processes are unstructured and lack visibility into interdependencies between different improvement initiatives
Solution Approach 1:
The patent segments the continual improvement management into distinct functional modules including initiative submission, automated analysis, interdependency detection, task breakdown, and progress tracking. Each module handles specific aspects of the improvement process independently, allowing the system to manage complex multi-process improvements without overwhelming complexity.
Solution Approach 2:
The patent introduces an automated analysis engine as an intermediary between improvement initiative submissions and human reviewers. This engine pre-processes submissions, detects interdependencies between initiatives, and generates preliminary assessments, reducing the burden on human managers and providing structured visibility into process relationships.
2Ease of operation
If manual process is used for submitting and managing improvement processes, then users can initiate improvements, but the process is time-consuming and lacks real-time data insights
Solution Approach 1:
The patent implements self-service capabilities where the system automatically performs data collection, analysis, and progress tracking without requiring continuous manual intervention. Improvement initiatives are automatically registered, analyzed for interdependencies, and tracked through completion, freeing users from time-consuming manual management tasks.
Solution Approach 2:
The patent replaces manual mechanical processes with automated computational systems. Data collection, analysis, and progress monitoring are performed automatically using software algorithms rather than manual review and tracking, dramatically reducing the time required for improvement management while maintaining ease of initiation.
3Measurement precision
If consultants are hired to analyze services and processes for improvement, then improvement areas can be identified, but the approach becomes cost-intensive
Solution Approach 1:
The patent enables the enterprise system to perform self-analysis through automated data collection and analysis algorithms. The system automatically identifies improvement opportunities by analyzing operational data, eliminating or reducing the need for expensive external consultants while maintaining accurate identification of improvement areas.
Solution Approach 2:
The patent replaces the mechanical system of human consultant analysis with automated computational analysis. Software algorithms process enterprise data to identify improvement opportunities, providing comparable or superior accuracy to human consultants at a fraction of the cost.
4Productivity
If improvement processes are carried out in different silos by disjointed groups, then specific process improvements can be made, but interdependencies and regressions between processes are not detected
Solution Approach 1:
The patent creates a universal improvement management platform that handles all improvement initiatives across different departments and processes through a single integrated system. This multi-functional platform tracks interdependencies between initiatives and provides organization-wide visibility, preventing information loss while maintaining fast implementation through parallel processing of related improvements.
Solution Approach 2:
The patent implements feedback mechanisms that automatically detect interdependencies between improvement initiatives. When one improvement is implemented, the system monitors for potential regressions or interactions with other processes and provides feedback to stakeholders, ensuring informed decision-making while maintaining implementation momentum.
Data Source
AI summary
A method includes creating a record of a continual improvement process (CIP) on a hosted client instance based on detection of one or more optimizations to improve at least one of a plurality of actions associated with the hosted client instance; setting a monitored metric with a predetermined target corresponding to the record to measure progress of the CIP over time based on analytical data associated with the monitored metric; setting one or more identified tasks associated with the monitored metric and monitor completion of the one or more identified tasks; and presenting progress data indicating progress toward achieving the monitored metric over time and indicating whether the monitored metric was achieved based on whether the analytical data associated with the monitored metric indicates that the predetermined target was met.