Liming Xu , Stephen Mak , Stefan Schoepf , Michael Ostroumov , Alexandra Brintrup
{"title":"Multi-agent digital twinning for collaborative logistics: Framework and implementation","authors":"Liming Xu , Stephen Mak , Stefan Schoepf , Michael Ostroumov , Alexandra Brintrup","doi":"10.1016/j.jii.2025.100799","DOIUrl":null,"url":null,"abstract":"<div><div>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 absence of integrated systems. We, thus, in this paper addresses these barriers by investigating an integrated platform that facilitates collaboration through the integration of agents with digital twins. Specifically, we employ a multi-agent system approach to integrate stakeholders and physical 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 a prototypical testbed. The resulting testbed, comprising a physical environment and a digital replica, is a digital twin that integrates distributed entities involved in collaborative logistics. Its effectiveness on integrating both physical and digital, stationary and mobile objects is demonstrated through a carrier collaboration scenario. This paper is among the few earliest efforts to examine the integration of agents and digital twin concepts in logistics sector and goes beyond the conceptual discussion of existing studies to the technical implementation of such integration.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"45 ","pages":"Article 100799"},"PeriodicalIF":10.4000,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Industrial Information Integration","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452414X25000238","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
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 absence of integrated systems. We, thus, in this paper addresses these barriers by investigating an integrated platform that facilitates collaboration through the integration of agents with digital twins. Specifically, we employ a multi-agent system approach to integrate stakeholders and physical 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 a prototypical testbed. The resulting testbed, comprising a physical environment and a digital replica, is a digital twin that integrates distributed entities involved in collaborative logistics. Its effectiveness on integrating both physical and digital, stationary and mobile objects is demonstrated through a carrier collaboration scenario. This paper is among the few earliest efforts to examine the integration of agents and digital twin concepts in logistics sector and goes beyond the conceptual discussion of existing studies to the technical implementation of such integration.
期刊介绍:
The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers.
The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.