Resources TRIZ Cases

Independently routed vehicles on a track create different products on demand, cutting line changeovers, manual handling, and downtime.

Tags, hubs, and gateways give each welding asset real-time identity, location, and usage data, reducing search time in crowded welding areas.

Optimized shuttle-table and cluster sequencing cuts SMT setup waiting time, throughput delays, and inventory cost on PCB assembly lines.

Remote control takes over lateral and longitudinal vehicle guidance when sensors struggle at intersections, hilltops, or crowded areas.

Scored work positions, paths, and product priority automate conveyance scheduling, cutting manual effort and unnecessary transport moves.

An overlay of Gantt and diagram charts reveals cross-resource links behind long production or waiting times in job shop, cell, and line production.

Virtual filling in a digital twin helps allocate buffer compartments, cut refilling actions, and keep flexible production running.

A dual front-subplatform IIoT architecture coordinates production-line capacity while reducing centralized data processing load and system complexity.

Sensor-fed ML inference models complex parameter interactions in food processing chains to improve yield, quality, safety, and CO2 footprint.

Reconfigured vehicle paths move exception containers to storage so other autonomous vehicles can finish item collection without slowing order flow.

Constraint profiles let multiple robots sequence candidate plan elements around resource, spatial, and continuity limits without rigid synchronization.

A graphical object-based setup links industrial devices, cloud services, and user terminals to cut PLC logic errors and enable remote access.

Structured facility data links documents, requirements, and equipment to speed access and improve reliable change tracking across the full life cycle.

Mobile shelves use control-center dispatching, path planning, and energy management to improve delivery accuracy, space use, and labor efficiency.

Automated event auditing, signed records, and action triggering help energy plants correct process deviations with legally secure traceability.

A shared remote database lets woodworking machines reuse proven machining parameters, cutting setup time while improving quality and reproducibility.

Dynamic transport priorities use buffer status, upstream influence, and cost to keep factory flows stable and avoid efficiency loss.

Reliability-weighted transport cost updates help prioritize factory logistics moves without hurting buffer balance or transport efficiency.

Machine time data and product tracking are used to locate abnormal display panels and withhold them automatically, reducing labor and escape errors.

A control server and carrying robots interchange storage and picking containers to cut transport time and labor in goods-to-person logistics.

Stored work histories and current tasks guide fast operator reassignment during anomalies, reducing unfulfilled operations and manufacturing errors.

Sensors and business rules tailor product data on line-side displays, replacing paper sheets to cut waste, cost, and handling of sensitive information.

Extender units augment module type packages to model pipe details and dynamic behavior without full control code programming.

Runtime equipment-state data is used to infer module transition conditions, helping replace undocumented control systems in modular plants.

Barcode or 2D code scanning links each wheel hub to the right CMM program, cutting search time, misidentification, and probe damage.

A dual-loop feedback algorithm matches receptacle supply to operator pace, reducing recirculation bottlenecks and keeping faster stations productive.

A cloud-based industrial hub connects assets and gateways for virtual development, cutting automation cycle time while protecting IP.

Holistic charts separate mixed-model step flows to expose retention, lead time, and facility issues in complex production lines.

Remote control signals guide a vehicle through intersections, hilltops, and crowded areas when onboard sensors cannot safely manage semi-automated driving.

Estimate production line throughput from bottleneck, upstream, and downstream sublines using minimal process and travel time input.

Graphical checklist marks matched to on-site tools help operators verify the right equipment, locations, and lockout steps at low cost.

Coordinated timing of setup and material delivery keeps substrate lines ready at production start, reducing standby time and in-process inventory.

Captured form marks let imagers and recognition units verify when a work object can move to the next process, reducing manual entry errors.

Real-time cost prediction and incentive matching guide building equipment maintenance and replacement decisions to lower total cost.

By prioritizing mounters closer to the automatic splicing unit, this case cuts operator travel and speeds splicing across board lines.

An organizational database guides when and where equipment is produced and placed to cut fulfillment traffic jams and wait times.

Low-energy tap handle and keg transmitters automate location and inventory tracking, cutting manual counts, keg loss, and distribution delays.

Classifying lots by production state reveals shared and non-shared good lots, helping identify quality variation factors across automated and manual steps.

Proximity signals guide vehicle transport assignments and route priorities to cut material movement time and distance.

Preplanned matching of LTL loads to trucks cuts deadhead miles and waiting time while improving delivery predictability.

Automated spatial tuning uses weighting matrices to suppress actuator-profile frequencies and cut steady-state variability in multi-array CD web control.