Nested Container Tracking with Dynamic Task Planning
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Solution Overview
Problem
Existing systems face challenges in efficiently tracking and automating tasks for items progressing through nested containers in transportation, logistics, and production systems, due to the complexity of nested structures and varying item characteristics.
Innovation Solution
A system that determines intermediate tasks and sub-processes for items as they move through different states and locations, using a rule-based approach and machine learning algorithms to manage workflows, control automated systems, and track item states and equipment usage, ensuring efficient delivery and assembly processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If nested containers are used for shipping efficiency, then shipping efficiency is improved, but tracking and identifying items becomes difficult
Solution Approach 1:
The patent implements a nested container system where items are placed in inner containers, which are then placed in outer containers for shipping. Each container maintains its identity in the tracking system, allowing the system to monitor the location and status of individual items even when physically nested within other containers. This resolves the contradiction by maintaining tracking capability while achieving shipping efficiency through nesting.
Solution Approach 2:
The patent introduces an intermediary tracking system that acts as a mediator between the physical nested containers and the monitoring infrastructure. Tags or identifiers on each container level communicate with the tracking system, enabling indirect observation of item locations without requiring direct physical access to nested items. This intermediary layer solves the tracking difficulty while preserving the nesting structure for efficient shipping.
2Productivity
If nested containers are used for shipping efficiency, then shipping efficiency is improved, but automating tasks becomes difficult
Solution Approach 1:
The patent applies preliminary action by pre-configuring each container with unique identifiers and task metadata before nesting occurs. The system pre-determines the sequence of tasks that need to be performed on each container level (unpacking, inspection, routing) and stores this information in advance. When containers arrive at a facility, automated systems can immediately execute the pre-planned tasks without manual intervention to determine the unpacking sequence, thus enabling automation despite the nested structure.
Solution Approach 2:
The patent segments the automated task execution into discrete, manageable steps for each container level. The system breaks down the complex task of unpacking nested containers into individual operations (identify outer container, open outer container, identify inner containers, process each inner container, etc.). This segmentation allows automated robotic systems to handle each step independently, making automation feasible despite the complexity of nested structures.
3Manufacturing precision
If intermediate tasks are determined for items, then task completion accuracy is improved, but system complexity increases
Solution Approach 1:
The patent implements dynamic task determination where the system adapts the sequence of intermediate tasks based on real-time conditions such as container type, item characteristics, destination requirements, and current location. Rather than using a fixed rigid workflow, the system dynamically generates or selects appropriate task sequences, allowing flexibility to handle diverse scenarios while maintaining high task completion accuracy. This dynamic approach manages system complexity by using adaptive logic rather than exhaustive pre-programming for every possible scenario.
Data Source
AI summary
A method and system for tracking and determining completion of sub-tasks to ensure completion of an overall task related to an item are described. The method and system receive item information describing a particular item to be acted upon and a task to complete with the item, such as assembly or shipping of the item. One or more intermediate states of the item are determined based on a process for transitioning to the final completed state. One or more intermediate tasks are determined to accomplish the transition to the completed state. The instructions for completing the tasks are then generated and conveyed for completion.