Logistics TRIZ Cases

See how a kitchen appliance detects food data, builds user profiles, and generates personalized

See how pusher assemblies with sensor strips automatically detect product removal, reduce manua

A hierarchical tangential layout helps shoppers narrow complex wine choices by flavor, occasion, or pairing without relying on sales staff.

RFID antennas built into insulated tray partitions enable orientation-independent meal tray identification, localization, and heating control.

By detecting nearby external cameras and stopping within their view, the vehicle reduces blind spots and theft risk during package receipt.

A closed-loop flexible sheet rotates to align a cargo opening, reducing door weight and complexity while keeping enclosures secure.

A controller keeps mobile objects usable by transporting stored units for maintenance, cutting downtime and improving fleet utilization.

Coordinating shared facility use across multiple movable apparatuses cuts standby time and energy loss by selecting lower-loss control sequences.

Replacing RFID, photoelectric switches, and dusty QR codes with barcode recognition improves shuttle positioning accuracy and warehouse uptime.

Correspondence data links each article, carriage, and storage position to reduce doorway obstruction and streamline delivery loading.

Autonomous aerial and ground vehicles capture and process inventory data to cut delays, find missing items, and improve yard visibility.

Continuous abnormality detection reroutes unmanned factory vehicles to repair locations before they disrupt the next production step.

Remote control stations let warehouse vehicles move assets without onboard drivers, reducing operator exposure and shift burden.

Preassigned shipment priority guides autonomous vehicles through merging routes to cut collisions, waiting, and transport delays.

Estimated delivery times based on queued packages and robot capacity help users plan receipt and ease logistics robot load.

Mobile ground robots update area maps in real time, enabling safer automated vehicle routing with fewer fixed sensors.

By fixing relative positions and calculating center of gravity, multiple movable bodies can be transported together with fewer carriers and better stability.

A self-driving transporter with interchangeable carriers automates material movement and tracking across construction sites through server-linked control.

Machine-readable floor lines let warehouse cameras decode location IDs, enabling precise indoor positioning where GPS cannot work.

Multiple management servers coordinate AGV pickup and delivery choices across e-commerce transactions to balance user convenience and transport efficiency.

Priority-based multi-agent pathfinding cuts routing runtime by resolving bot conflicts with precedence constraints in automated storage systems.

Order scoring and box selection balance picking and transport workloads to shorten warehouse order completion time.

GPS location and product data drive autonomous UAV mission planning and delivery, reducing human intervention in resupply operations.

A single RFID-tagged housing carries manufacturer data for bulk electronic components, improving tracking and inventory control across assembly.

Mobile robots replace fixed conveyors in subarea picking, freeing warehouse space and improving picker allocation for volatile e-commerce orders.

Partitioning a warehouse into event-aware zones enables safer human access while reducing unplanned downtime and preserving throughput.

Dynamic travel area sizing lets AGVs match warehouse and station status, reducing idle transport capacity and route congestion.

A ground vehicle guides a flying scanner to read warehouse codes from known positions, cutting manual inventory work while improving accuracy.

External ID markers let a delivery drone distinguish similar dwelling units and place packages at the correct receiving position.

Environmental sensor data guides robot group selection to match floor and space conditions, improving stable operation in the target workspace.

While a cargo vehicle stays in motion, onboard handling positions units for UAV pickup, cutting last-mile time and route cost.

Grouped call missions let logistics robots share paths with less congestion while improving supply distribution across busy workstations.

Topological key-point maps and capability models let warehouse transport robots adapt routes with less re-planning and infrastructure.

Uses environmental and capability models to let warehouse transport robots adapt routes without costly redesign or specialist setup.

Real-time adjustment of vehicle speed, acceleration, and spacing helps clear worksite congestion while maintaining stable autonomous workflows.

Real-time adjustment of vehicle speed and related parameters helps clear worksite congestion and maintain autonomous fleet productivity.

Standardized data models let cooperating factories keep independent systems while sharing plans and production results for faster coordinated manufacturing.

Computer-controlled tote vehicles decouple baggage flow from passenger screening, cutting checkpoint congestion and scanner idle time.

Automatic bin retrieval and shaking improve warehouse sortation speed, reduce labor, and settle contents to use storage space better.

Relative position and center-of-gravity calculation stabilizes grouped moving bodies, allowing fewer carriers to transport more units.

Calculates component availability from parts inventory, demand, and priority so critical assemblies avoid stockouts during production planning.

Computer-controlled tote vehicles decouple intake lanes from scanners, cutting checkpoint congestion and traveler wait times.

An interface unit converts identifiers into tracking-readable data, improving traceability in high-mix, low-volume manufacturing.

A transmission line tethers the UAV to the AMR for continuous power and wired data transfer, improving warehouse inventory checking accuracy.

Queue-based port priorities reset AGV work orders in real time, sending vehicles first to ports with the most waiting shelves.

Branch and Bound waypoint sequencing and dual-graph routing cut travel, turning, and waiting time in autonomous material delivery fleets.

Segmented IoT sub-platforms process accessory inventory data locally to enable timely replenishment and prevent production disruptions.

Centralized dispatch, monitoring, and certificate tracking help hotel robot fleets cut resource waste and verify mission completion.

Ranks UAV component damage risk during flight failures, then adjusts movement factors and countermeasures to protect valuable payloads.

Separate controllers and dynamic location allocation let ASRS improve throughput and storage density without a monolithic control structure.

Real-time context models unify truck, robot, and infrastructure data to optimize warehouse routing and reduce sensor and interface complexity.

Using SNS work requests and office presence data, the robot reaches the user directly without dedicated request hardware or standby pickup.

Hierarchical outbound sequences and groups let warehouse robots handle complex container retrieval in parallel with adaptive task execution.

An ANN uses sensor, weather, and delivery history data to choose reachable drop-off spots and improve delivery success in changing environments.

Queueing spaces for occupied AMR work and utility locations make robot availability visible and help prevent downtime and traffic jams.

A server selects the best docked UAV for each task, removing manual transport limits and extending access to hard-to-reach areas.