Abstract
E-business, e-government and e-health care applications require cooperation and open standard-based information knowledge exchange between all the participants of the global information environment in realtime. As a result a new direction of knowledge logistics has emerged. Problems approached by logistic system are typically complex in particular the planning of a distributed logistic system which is a complex process implying several constraints. Among these constraints we can mention: cooperation between the different organizational entities of the system, the hold in consideration of the diversity of the nature of the product routed and the category of the client targeted. The paper describes a developed system addressing the knowledge logistics in hospital related problem. The needs in flows (medicines flow, clothes flow, foods flow...) are indicated by information system placed in every zone. We want to optimize the routing of these flows from one zone to another as well as to satisfy the needs in every zone, knowing that these needs are different according to several criteria. An ontology-driven methodology for knowledge sharing and reuse suggested by the approach is described first. The paper also describes a multi agent community implementation designed as a part of research of the knowledge logistics system. Results of the developed multi agent community application to coalition based operations support are presented via a portable hospital configuration case study.
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© 2009 Springer-Verlag Berlin Heidelberg
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Floroian, D., Moldoveanu, F., Floroian, L. (2009). Multi-Agent Model for a Mobile Hospital Logistic System. In: Vlad, S., Ciupa, R.V., Nicu, A.I. (eds) International Conference on Advancements of Medicine and Health Care through Technology. IFMBE Proceedings, vol 26. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04292-8_15
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DOI: https://doi.org/10.1007/978-3-642-04292-8_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04291-1
Online ISBN: 978-3-642-04292-8
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