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Presentation: Dynamic E-Supply Chain Integration – A Knowledge-Based Decision and Coordination Framework

TitleDynamic E-Supply Chain Integration – A Knowledge-Based Decision and Coordination Framework
Authors
Issue Date2007
Citation
CITE Seminar: Dynamic E-Supply Chain Integration – A Knowledge-Based Decision and Coordination Framework, Hong Kong, China, 9 March, 2007. How to Cite?
DescriptionWith e-business emerging as a key enabler to drive supply chains, the focus of supply chain management has been shifted from production efficiency to customer-driven and partnership synchronization approaches. Such approaches depend on the match between the requirements and offerings that deliver the services. It can be ensured by separating requirements from the means of realization as well as dynamically assigning available resources to requests. To achieve this, we need coordinate the flow of information among the services and link their business processes under various constraints. The problem is complicated as a result of undetermined requirements of individual services and unpredictable solutions contributed by individual service providers. This paper examines an agent-mediated and knowledge-based decision and coordination approach to dynamic supply chain integration in a web-based environment. Each agent works as a broker for each service, exploring individual service decisions as well as interacting with each other by knowledge creating and sharing for achieving compatibility and coherence among the decisions of all services. Based on the approach, a prototype is implemented with simulated experiments highlighting the effectiveness of the approach.
Assistant Professor, Division of Information & Technology Studies, The University of Hong Kong - Dr. Maggie Minhong Wang is a newly appointed Assistant Professor in the Division of Information & Technology Studies, the University of Hong Kong. She received her PhD in information systems from City University of Hong Kong in 2005. Her research interests bridge the business and academic communities in information technologies and their applications in information and knowledge management, business intelligence systems and technology-mediated learning. Her research is a synergy of multi-disciplinary background, teaching and industrial working experience in information management and computer engineering. She has published papers in Information & Management, Knowledge-based Systems, Expert Systems with Applications, International Journal of Technology and Human Interaction, and in international conferences, including BPM, CAiSE, HICSS, AMCIS, PRICAI, CEC/EEE among others.
Persistent Identifierhttp://hdl.handle.net/10722/43696

 

DC FieldValueLanguage
dc.contributor.authorWang, MM-
dc.date.accessioned2007-05-09T02:01:21Z-
dc.date.available2007-05-09T02:01:21Z-
dc.date.issued2007-
dc.identifier.citationCITE Seminar: Dynamic E-Supply Chain Integration – A Knowledge-Based Decision and Coordination Framework, Hong Kong, China, 9 March, 2007.en
dc.identifier.urihttp://hdl.handle.net/10722/43696-
dc.descriptionWith e-business emerging as a key enabler to drive supply chains, the focus of supply chain management has been shifted from production efficiency to customer-driven and partnership synchronization approaches. Such approaches depend on the match between the requirements and offerings that deliver the services. It can be ensured by separating requirements from the means of realization as well as dynamically assigning available resources to requests. To achieve this, we need coordinate the flow of information among the services and link their business processes under various constraints. The problem is complicated as a result of undetermined requirements of individual services and unpredictable solutions contributed by individual service providers. This paper examines an agent-mediated and knowledge-based decision and coordination approach to dynamic supply chain integration in a web-based environment. Each agent works as a broker for each service, exploring individual service decisions as well as interacting with each other by knowledge creating and sharing for achieving compatibility and coherence among the decisions of all services. Based on the approach, a prototype is implemented with simulated experiments highlighting the effectiveness of the approach.en
dc.descriptionAssistant Professor, Division of Information & Technology Studies, The University of Hong Kong - Dr. Maggie Minhong Wang is a newly appointed Assistant Professor in the Division of Information & Technology Studies, the University of Hong Kong. She received her PhD in information systems from City University of Hong Kong in 2005. Her research interests bridge the business and academic communities in information technologies and their applications in information and knowledge management, business intelligence systems and technology-mediated learning. Her research is a synergy of multi-disciplinary background, teaching and industrial working experience in information management and computer engineering. She has published papers in Information & Management, Knowledge-based Systems, Expert Systems with Applications, International Journal of Technology and Human Interaction, and in international conferences, including BPM, CAiSE, HICSS, AMCIS, PRICAI, CEC/EEE among others.en
dc.description.sponsorshipCentre for Information Technology in Education, University of Hong Kongen
dc.format.extent632425 bytes-
dc.format.mimetypeapplication/pdf-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleDynamic E-Supply Chain Integration – A Knowledge-Based Decision and Coordination Frameworken
dc.typePresentationen
dc.description.naturepublished_or_final_versionen_HK

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