Space-Time Logistics Allocation for Dynamic Autonomous Routing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional logistics systems fail to support efficient resource allocation and reconfiguration in dynamically changing environments, leading to inefficiencies and blocked requests.
Innovation Solution
A system that uses a spatial-temporal representation to dynamically allocate resources and generate route maps for autonomous systems, allowing real-time reconfiguration and prioritization of tasks based on resource requests and environmental constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional resource allocation methods are used in logistics systems, then system simplicity is maintained, but the ability to dynamically reconfigure and handle changing environment is lost
Solution Approach 1:
The patent introduces a temporal dimension to traditional spatial resource allocation by creating a spatial-temporal volume. This fourth dimension allows the system to visualize and manage resource allocation across both space and time simultaneously, enabling dynamic reconfiguration capabilities while maintaining a systematic approach to complexity management.
Solution Approach 2:
The system implements dynamic resource allocation volumes that can change position, size, and characteristics over time within the spatial-temporal volume. These allocation volumes are not static but adapt dynamically to changing logistics requirements, allowing the system to respond flexibly to environmental changes while maintaining organized resource management.
2Productivity
If resources are allocated based on first-come-first-served conventional methods, then allocation simplicity is maintained, but more difficult requests may be blocked by earlier ones
Solution Approach 1:
The system continuously monitors the state of resource allocation volumes and their intersections with time slices, using this feedback to dynamically adjust allocations. This feedback mechanism allows the system to evaluate whether difficult requests are blocked and reconfigure allocations accordingly, improving overall request fulfillment efficiency while maintaining manageable operation through automated decision-making.
Solution Approach 2:
The system performs preliminary analysis of resource requests by generating allocation volumes that consider both spatial requirements and temporal constraints before actual allocation occurs. This preliminary action allows difficult requests to be evaluated and positioned appropriately in the spatial-temporal volume before conflicts arise, preventing blocking issues before they impact productivity.
3Adaptability or versatility
If static route maps are used for autonomous systems, then navigation simplicity is maintained, but flexibility to adapt to reconfigured environments is lost
Solution Approach 1:
The route map generation system continuously receives feedback from the spatial-temporal volume configuration and autonomously adjusts navigation paths. This feedback loop ensures that route maps automatically adapt when resource allocations change, providing route flexibility while maintaining operational simplicity through automated route recalculation based on current environmental state.
Solution Approach 2:
Route maps are generated dynamically rather than statically, allowing them to change in response to reconfigured logistics environments. The system creates adaptive navigation paths that evolve with the spatial-temporal volume configurations, enabling autonomous systems to navigate flexibly through changing environments while the system manages the complexity of continuous route updates.
Data Source
AI summary
A dynamic reconfigurable logistics environment can be combined with autonomous systems using a space-time volume-based resource allocation approach that permits dynamically changing paths of travel. This approach can enable a more flexible approach to the dynamic real-time reallocation of unused, unlocked resources whenever new resource requests are received, preventing blocking of later-received, more-difficult-to-allocate requests by earlier-received, less-difficult-to-allocate requests such that all resources as well as the paths of travel remain changeable and dynamic. Resource allocations can be subject to an autonomous system condition check, which can determine whether autonomous systems can perform tasks associated with the allocated resources, given the spatial layout of the resource and pathway allocation. An execution component can management the performance of the tasks by the autonomous systems within the dynamically changing environment. The tasks can be prioritized, and the autonomous systems can perform the tasks according that prioritization.