Multi agent systems in logistics

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dc.contributor.author Lang, Niels
dc.contributor.author Moonen, Hans M.
dc.contributor.author Srour, F. Jordan
dc.contributor.author Zuidwijk, Rob A.
dc.date.accessioned 2018-01-04T14:23:14Z
dc.date.available 2018-01-04T14:23:14Z
dc.date.issued 2018-01-04
dc.identifier.uri http://hdl.handle.net/10725/6873 en_US
dc.description.abstract Based on a literature survey, we aim to answer our main question: “How should we plan and execute logistics in supply chains that aim to meet today’s requirements, and how can we support such planning and execution using IT?” Today’s requirements in supply chains include inter-organizational collaboration and more responsive and tailored supply to meet specific demand. Enterprise systems fall short in meeting these requirements The focus of planning and execution systems should move towards an inter-enterprise and event-driven mode. Inter-organizational systems may support planning going from supporting information exchange and henceforth enable synchronized planning within the organizations towards the capability to do network planning based on available information throughout the network. We provide a framework for planning systems, constituting a rich landscape of possible configurations, where the centralized and fully decentralized approaches are two extremes. We define and discuss agent based systems and in particular multi agent systems (MAS). We emphasize the issue of the role of MAS coordination architectures, and then explain that transportation is, next to production, an important domain in which MAS can and actually are applied. However, implementation is not widespread and some implementation issues are explored. In this manner, we conclude that planning problems in transportation have characteristics that comply with the specific capabilities of agent systems. In particular, these systems are capable to deal with inter-organizational and event-driven planning settings, hence meeting today’s requirements in supply chain planning and execution. en_US
dc.language.iso en en_US
dc.publisher Erasmus Research Institute of Management, Erasmus University en_US
dc.subject Multiagent systems en_US
dc.title Multi agent systems in logistics en_US
dc.type Conference Paper / Proceeding en_US
dc.title.subtitle a literature and state-of-the-art review en_US
dc.author.school SOB en_US
dc.author.idnumber 201204645 en_US
dc.author.department Department of Information Technology and Operations Management (ITOM) en_US
dc.description.embargo N/A en_US
dc.description.physdesc 69 p. : ill. en_US
dc.publication.place Rotterdam en_US
dc.keywords Supply chain en_US
dc.keywords Multi agent systems en_US
dc.keywords MAS en_US
dc.description.bibliographiccitations Includes bibliographical references en_US
dc.identifier.ctation Lang, N., Moonen, H., Srour, F. J., & Zuidwijk, R. A. (2008). Multi agent systems in logistics: a literature and state-of-the-art review. en_US
dc.author.email jordan.srour@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1290929 en_US
dc.orcid.id https://orcid.org/0000-0001-7623-723X en_US
dc.publication.date 2008 en_US
dc.author.affiliation Lebanese American University en_US

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