WO2024134560 - DYNAMIC LOGISTICS ENVIRONMENT
National phase entry:
Publication Number
WO/2024/134560
Publication Date
27.06.2024
International Application No.
PCT/IB2023/063054
International Filing Date
20.12.2023
Title **
[English]
DYNAMIC LOGISTICS ENVIRONMENT
[French]
ENVIRONNEMENT LOGISTIQUE DYNAMIQUE
Applicants **
GRAND PERFORMANCE ONLINE PTY LTD
Inventors
PETROULAS, Peter
Priority Data
63/476,374
20.12.2022
US
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
| Number of Priorities | * |
| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
| Pages for Publication | * |
| Number of Pages with Drawings | * |
| Pages of Specification | * |
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| Number of Office Actions | * |
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International Searching Authority |
MOIP
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| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
* |
| Type of Assignment |
The Standard Agent's Assignment
* |
| Applicant's Legal Status |
Legal Entity
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| * | |
| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
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| Patent Delivery |
Send the Letters Patent by Courier
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| Translation |
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* The data is based on automatic recognition. Please verify and amend if necessary.
** IP-Coster compiles data from publicly available sources. If this data includes your personal information, you can contact us to request its removal.
Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 2433 | |
| EPO | Filing, Examination, Granting | 14909 | |
| Japan | Filing, Examination, Granting | 2336 | |
| South Korea | Filing, Examination, Granting | 1842 | |
| USA | Filing, Examination, Granting | 4740 |
Total:
26,260
The term for entry into the National Phase has expired. This quotation is for informational purposes only
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Abstract[English]
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.[French]
Un environnement logistique reconfigurable dynamique peut être combiné à des systèmes autonomes à l'aide d'une approche d'attribution de ressources basée sur le volume spatiotemporel qui permet de changer dynamiquement des trajets de déplacement. Cette approche peut permettre une approche plus flexible de la réattribution dynamique en temps réel de ressources inutilisées et déverrouillées chaque fois que de nouvelles demandes de ressources sont reçues, ce qui empêche le blocage de demandes plus difficiles à attribuer reçues ultérieurement par des demandes moins difficiles à attribuer reçues plus tôt de telle sorte que toutes les ressources ainsi que les trajets de déplacement restent modifiables et dynamiques. Des attributions de ressources peuvent être soumises à une vérification d'état de système autonome, qui peut déterminer si des systèmes autonomes peuvent effectuer des tâches associées aux ressources attribuées, étant donné la disposition spatiale de l'attribution de ressources et de trajets. Un composant d'exécution peut gérer la performance des tâches par les systèmes autonomes à l'intérieur de l'environnement à changement dynamique. Les tâches peuvent être priorisées, et les systèmes autonomes peuvent effectuer les tâches selon cette priorisation.