Dynamic logistics environment

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The spatiotemporal volume-based resource allocation method with autonomous systems dynamically adjusts transportation routes and prioritizes tasks, addressing inefficiencies in logistics environments by ensuring flexible and efficient real-time resource allocation.

HK40135193APending Publication Date: 2026-07-17GRAND PERFORMANCE ONLINE PTY LTD

Patent Information

Authority / Receiving Office: HK · HK
Patent Type: Applications
Current Assignee / Owner: GRAND PERFORMANCE ONLINE PTY LTD
Filing Date: 2026-06-05
Publication Date: 2026-07-17

AI Technical Summary

Technical Problem

Existing logistics environments lack flexibility and real-time adaptability in resource allocation, leading to inefficiencies when new requests are integrated, particularly causing earlier, easier-to-allocate requests to block later, more difficult ones.

Method used

A spatiotemporal volume-based resource allocation method integrated with autonomous systems that dynamically reconfigure transportation routes and prioritize task execution based on spatial layout and system status, allowing for real-time adjustments.

Benefits of technology

Ensures flexible and efficient reallocation of resources by avoiding blocking of later requests, maintaining dynamic and variable routes, and optimizing task execution in changing environments.

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Abstract

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.

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Description

Abstract: Dynamically reconfigurable logistics environments can be integrated with autonomous systems, employing a spatiotemporal volume-based resource allocation method to dynamically change transportation routes. This method enables more flexible and real-time reallocation of unused resources. When new resource requests are received, it avoids earlier, easier-to-allocate requests blocking later, more difficult-to-allocate requests, thus ensuring that all resources and transportation routes remain variable and dynamic. Resource allocation can include autonomous system status checks to determine whether the autonomous system can execute tasks related to allocated resources given the spatial layout of resource and route allocations. Execution elements can manage the autonomous system's task execution in a dynamically changing environment. Tasks can be prioritized, and the autonomous system can execute tasks according to priority.