Resources TRIZ Cases

Digital twins of trucks, loaders, routes, and unloading points automate dispatching and speed response to abnormal mine transport events.

Cloud-mediated object configuration links user terminals to industrial automation devices, reducing PLC programming errors and enabling remote control.

Forecasted power-source tariffs and CO2 intensity are used to automate production plans that balance emissions, delivery dates, and cost.

Integrated sensor control, machine learning, and automated resource delivery enable modular growing units to manage crops from seed to harvest.

Constraint-based material selection ranks component options against product compatibility rules to improve reliability and reduce manual classification effort.

Transit-point-based control enables remote vehicle operation during shipping stops while disabling it elsewhere to balance security and handling.

Projects future product-spec end horizons into current upstream constraints so rundown blending can meet target volumes and specs efficiently.

Discrete production horizons let plantwide rundown blending meet product specs and volumes while improving refinery operating efficiency.

Physical environment factors and equipment-item mapping guide production order and placement to cut waiting time and fulfillment delays.

A cloud server tracks robot heartbeats and tasks so a leader robot can assign work efficiently and recover from leader failure.

Historical feed matching flags duplicate material verification data before suction starts, improving traceability and feeding accuracy.

Highlights the same factory device across layout, electrical, and network data so users can trace relations clearly across models.

Numerical models estimate unmeasurable production-line quantities, linking operating conditions to defects when direct sensing is impractical.

Combines machinery connection data with user-defined events to model unsensed causes and speed manufacturing line fault analysis.

A tag, hub, and gateway network tracks welding asset identity, location, and usage to cut search time in large welding areas.

A GUI-driven cleaning sequence manager lets users update chamber cleaning steps and trigger execution by criteria, cutting update delays and latency.

Authenticated scheduled collection from multiple controllers enables consistent production performance evaluation and summary reporting.

As connected assets grow, context delivery and indexing link artefacts to tenant and asset data for faster cloud-based facility access.

Production history and process-line data are used to track energy intensity per product, exposing unstable consumption and energy-saving targets.

By isolating bottleneck workstations and sublines, this case estimates production line throughput accurately with far less data and setup time.

Tokenized worker evaluations recorded on blockchain add transparent feedback and location-based scoring to improve behavior, productivity, and safety.

Staggered machine arrival times at a worksite loading area cut congestion, idling, and fuel waste by adapting dispatch thresholds over time.

Track welding assets by tag and positioning data, then trigger visible or audible outputs to quickly identify the right unit on site.

Nearby picker recommendation and assigned-state control cut warehouse travel distance and avoid duplicate picking for AGV-linked orders.

A five-platform Industrial IoT layout separates processing and transmission paths to coordinate production task plans across workshops and devices.

Closed-loop production facility management captures operator response data to refine operation instructions and improve quality cycles.

Stored and concatenated event sequences cut calculation time and energy use while helping adaptive control systems learn new state transitions.

Real-time plant and operator state analysis prioritizes tasks and schedules work to cut risk and maintain response during operator shortages.

Queue-based operator matching prioritizes autonomous vehicle help requests by skill, availability, and criticality to cut response delays.

A back-end server links machine operation requests to future risk offers, improving risk assessment accuracy and data integrity.

A GUI-managed chamber cleaning sequence triggers preset operations by criteria, cutting update time and improving manufacturing throughput.

Stored start-position data lets a movable object resume an operation plan from the correct order, avoiding manual repositioning after stoppage.

A centralized service platform and front sub-platforms coordinate real-time line capacity to cut idle time and avoid overload.

Weighted determination-ground combinations are sorted and matched to tables so multiple material requests can be reflected consistently.

Near-real-time audit workflows align mid-level mandates, activity plans, and AI feedback to improve well intervention execution.

By storing only key association data, this case links manufacturing site information across departments while reducing database capacity needs.

Retention increase and acceleration rates reveal production bottlenecks earlier than stock counts, helping manage facility availability and resource allocation.

Priority-based route setting lets unmanned conveying vehicles move urgent or large cargo first while reducing congestion on shared factory paths.

Predicted material levels and adaptive vehicle speed keep processing equipment fed without overfilling, cutting idle time and fuel use.