Resources TRIZ Cases

Probabilistic models analyze maintenance data to determine relative readiness states, enabling accurate selection of operational systems for mission tasks.

A job procedure display apparatus uses a touch panel to present digital manuals on a portable terminal device.

Computer system creates optimized marketing models using statistical estimation methods and predefined logical schemas.

A dual storage architecture manages infrastructure component data using a private database and a distributed ledger.

Computer system detects natural experiments in historical data to identify test and control groups.

A provenance graph visualizes enterprise data lineage, resolving manual tracking inefficiencies and reducing reengineering costs.

Server system generates temporal risk predictions to create optimized work schedules, maintaining cumulative workplace risk below a defined threshold.

A document management system tags content elements with workflow stages to enable precise access control and real-time updates.

Locking and balancing mechanisms resolve congestion in clustered issue tracking systems.

A data analysis system segments customers by weighted RFM scores to compute churn values and predict lifetime value.

A recommendation system determines suitable data items from multiple storage devices using application type criteria.

Centralized remote device aggregates multi-location commercial data to resolve latency bottlenecks in anomaly detection.

Segmented observer agents track hardware, software, and networking metrics to reduce monitoring time while maintaining measurement precision.

Fusing sensory and historical data into a time-based model optimizes officer resource allocation and reduces wasted patrol time.

A computing system segments equipment tasks into core, pre-processing, and post-processing phases to estimate total duration accurately.

An information analysis device filters displayed data based on user-selected facility status to focus relevant detection results.

A design management device omits part design data when unit design data was previously transmitted to the production system.

A job search organizer aggregates listings and manages tasks across platforms.

A system evaluates condition nodes in directed graphs to fire business rule triggers for customer support tickets.

Activity store merges device data to resolve the trade-off between information quantity and retrieval complexity.

A carbon quota allocation model calculates decoupling and policy factors to assign emission limits.

Automated sensors detect process events and verify data accuracy to eliminate manual recording contamination risks.

Harvester program collects inventory data into a global data warehouse to quantify realized and potential cost savings.

A bi-level optimization model selects road sections and allocates resources using Elastic User Equilibrium to measure transportation system resilience.

A remote employment management system logs employee work hours via mobile device geo-location verification.

A multipartite system uses an API to run scoring functions in their original domain-specific language without reimplementation.

Hierarchical security data segmentation preserves entity privacy while verifying trustworthiness across complex multi-tier manufacturing networks.

A system detects time variables and calculates respective intervals to generate metadata for intermittent data.

Integrates manufacturing cost models into topology optimization to reduce production expenses while maintaining structural performance and development speed.

An automated change audit system monitors heterogeneous nodes to detect unauthorized modifications and reconcile them against authorized requests.

Segmenting service models into distinct layers resolves storage complexity while maintaining historical data completeness for accurate drift detection.

Recovery workflow automates subscription order cancellations by tracking provisioning states, reducing manual labor and processing time.

Graph-based data model maps AI technical metrics to enterprise performance indicators for automated remediation.

Dynamic MPC models estimate future KPI trajectories using unconstrained dependent variables to identify root causes of performance issues.

A processing system determines combination take rates for product options by estimating initial values and iteratively adjusting them based on target rates.

An operation support apparatus generates virtual screen image data from user terminal environment information to enable remote assistance.

A resource accommodation device segments scheduling into independent local units to present candidate resources based on availability and cost criteria.

Automated system translates legacy business rules into standardized formats using cognitive parsing and semantic extraction.

A task responsibility system directs work items to computer-implemented folders for dynamic worker assignment.

Virtual relationships link Work Breakdown Structure levels, reducing computation time when evaluating constraint changes in complex project schedules.

Event monitoring triggers automated evaluation workflows to resolve manual tracking bottlenecks and improve assessment accuracy.

A flexible fare bus framework adjusts fares dynamically based on real-time headway data to manage passenger distribution.

A cohort time analysis system segments populations by start time to calculate eligibility scores for resource allocation.

An event type generator extracts entities from documents to build training sets for supervised machine learning classification.

A computer system generates disassembly procedures by inserting new work elements into existing assembly sequences.

Shadow system and bridge schema enable parallel database operations, reducing persistent data upgrade downtime to bridge time.