Shuttle Sorter Dynamic Bin Assignment for Space-Efficient Sortation
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Solution Overview
Problem
Current sortation systems are inefficient and inflexible, requiring a large number of collection bins and manual labor, leading to high costs and limited throughput, as they struggle to handle a variety of object sizes and weights effectively.
Innovation Solution
An automated shuttle sorter system that includes a movable carriage for transporting objects between multiple destination stations, using robotic manipulators and learning algorithms to dynamically assign objects to collection bins based on real-time data and historical trends, reducing the need for manual intervention and optimizing space usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a large number of collection bins are used to handle diverse objects, then the system can accommodate more object types and destinations, but the physical space, capital costs, and operating costs increase significantly
Solution Approach 1:
The patent implements dynamic bin assignment where collection bins are not permanently dedicated to specific destinations but are temporarily assigned based on real-time sortation needs. The system controller dynamically reconfigures which bin receives objects for which destination, allowing the same physical bin to serve multiple destinations sequentially. This dynamic approach enables the system to handle diverse object types and destinations with fewer physical bins, directly resolving the contradiction between adaptability and space requirements
Solution Approach 2:
The patent introduces the time dimension to the sortation process by implementing multi-pass sortation. Instead of requiring all destinations to be simultaneously accessible (spatial dimension only), objects can be sorted in multiple passes where different destination sets are active at different times. This temporal dimension allows the system to accommodate more destinations than the number of physical bins by cycling through different destination configurations, effectively adding another dimension to resolve the space vs. versatility contradiction
2Adaptability or versatility
If human workers perform sortation manually, then the system is flexible in handling various objects, but the throughput is limited by worker speed
Solution Approach 1:
The patent implements automated object identification and routing where the system itself performs the sortation decision-making and execution. Scanners automatically identify objects and their destinations, the controller automatically determines optimal bin assignments, and mechanisms automatically transport and deposit objects into bins. This self-service automation eliminates human labor constraints while maintaining flexibility through programmable logic that can adapt to various object types and sorting criteria, thereby increasing throughput without sacrificing adaptability
Solution Approach 2:
The patent replaces manual human sortation with an integrated system combining optical scanning, computational control, and automated mechanical handling. Instead of human workers visually identifying and physically moving objects, the system uses scanners to detect objects, controllers to compute routing decisions, and automated mechanisms to execute sortation. This substitution of mechanical and cognitive human functions with automated systems dramatically increases throughput while preserving flexibility through programmable sortation logic
3Productivity
If recirculating conveyors with tilt trays are used for automation, then throughput increases, but the system complexity and cost per divert increase significantly
Solution Approach 1:
The patent extracts the tilting function from the conveyor structure itself, separating object transport from object diversion. Instead of each conveyor tray being a self-contained divert unit with its own actuator, the system uses a single conveyor for transport and separate, centralized tilting mechanisms positioned at divert locations. This extraction reduces the complexity and cost per divert by eliminating redundant actuators from each tray while maintaining automated sortation capability through the separated tilting stations
4Productivity
If the system uses fixed bin assignments for each destination, then the sortation process is simple and fast, but the system cannot efficiently handle varying object types and destinations
Solution Approach 1:
The patent implements dynamic bin assignment where collection bins are not permanently dedicated to specific destinations but are temporarily assigned based on real-time sortation needs. The system controller dynamically reconfigures which bin receives objects for which destination, allowing the same physical bin to serve multiple destinations sequentially. This dynamic approach enables the system to handle diverse object types and destinations with fewer physical bins, directly resolving the contradiction between adaptability and space requirements
Solution Approach 2:
The patent uses advance scanning and pre-processing of sortation data to determine optimal bin assignments before objects reach the divert point. By scanning and identifying objects early in the process and pre-computing their destination assignments, the system prepares the sortation plan in advance, allowing fast execution at the divert point without compromising adaptability. This preliminary action maintains sortation speed while enabling flexible handling of varying object types through pre-computed dynamic assignments
Data Source
AI summary
An automated shuttle sorter is disclosed that includes a carriage that is movable from a load position at which the carriage may be loaded, and at least two destination locations into which any contents of the carriage may be provided from the carriage.