Multi-Agent Digital Twinning for Collaborative Logistics: Framework and Implementation

Fuente: arXiv
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Autori principali: Xu, Liming, Mak, Stephen, Schoepf, Stefan, Ostroumov, Michael, Brintrup, Alexandra
Natura: Preprint
Pubblicazione: 2023
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_version_ 1866916609074921472
author Xu, Liming
Mak, Stephen
Schoepf, Stefan
Ostroumov, Michael
Brintrup, Alexandra
author_facet Xu, Liming
Mak, Stephen
Schoepf, Stefan
Ostroumov, Michael
Brintrup, Alexandra
contents Collaborative logistics has been widely recognised as an effective avenue to reduce carbon emissions by enhanced truck utilisation and reduced travel distance. However, stakeholders' participation in collaborations is hindered by information-sharing barriers and the absence of integrated systems. We, thus, in this paper addresses these barriers by investigating an integrated platform that foster collaboration through the integration of agents with digital twins. Specifically, we employ a multi-agent system approach to integrate stakeholders and physical mobile assets in collaborative logistics, representing them as agents. We introduce a loosely-coupled system architecture that facilitates the connection between physical and digital systems, enabling the integration of agents with digital twins. Using this architecture, we implement the platform (or testbed). The resulting testbed, comprising a physical environment and a digital replica, is a digital twin that integrates distributed entities involved in collaborative logistics. The effectiveness of the testbed is demonstrated through a carrier collaboration scenario. This paper is among the earliest few efforts to investigate the integration of agents and digital twin concepts and goes beyond the conceptual discussion of existing studies to the technical implementation of such integration.
format Preprint
id arxiv_https___arxiv_org_abs_2309_12781
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Multi-Agent Digital Twinning for Collaborative Logistics: Framework and Implementation
Xu, Liming
Mak, Stephen
Schoepf, Stefan
Ostroumov, Michael
Brintrup, Alexandra
Multiagent Systems
Collaborative logistics has been widely recognised as an effective avenue to reduce carbon emissions by enhanced truck utilisation and reduced travel distance. However, stakeholders' participation in collaborations is hindered by information-sharing barriers and the absence of integrated systems. We, thus, in this paper addresses these barriers by investigating an integrated platform that foster collaboration through the integration of agents with digital twins. Specifically, we employ a multi-agent system approach to integrate stakeholders and physical mobile assets in collaborative logistics, representing them as agents. We introduce a loosely-coupled system architecture that facilitates the connection between physical and digital systems, enabling the integration of agents with digital twins. Using this architecture, we implement the platform (or testbed). The resulting testbed, comprising a physical environment and a digital replica, is a digital twin that integrates distributed entities involved in collaborative logistics. The effectiveness of the testbed is demonstrated through a carrier collaboration scenario. This paper is among the earliest few efforts to investigate the integration of agents and digital twin concepts and goes beyond the conceptual discussion of existing studies to the technical implementation of such integration.
title Multi-Agent Digital Twinning for Collaborative Logistics: Framework and Implementation
topic Multiagent Systems
url https://arxiv.org/abs/2309.12781