Research Repository

Knowledge-based service system for supply chain management

Moynihan, Paul and Dai, Wei (2010) Knowledge-based service system for supply chain management. In: 2010, 7th international conference on services systems and services : proceedings of ICSSSM'10, June 28-30, 2010, Tokyo, Japan. Chen, Jian, ed. IEEE, Piscataway, N.J..

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Abstract

A perennial problem with running modern e-business systems is to manage supply chains cost-effectively. To get the maximum efficiency a higher degree of automation is required. This research intends a preliminary step towards automated supply chain integration and optimization through a research prototype that models supply chain management scenarios. It will show under such an approach potential cost and timesavings, as well as an optimization strategy that could be delivered in a real-time fashion. Additionally an empirical study using the prototype will be undertaken to show the difference between combinatorial and heuristically guided optimization rules in optimization of supply chains. The prototype will use Service Oriented Architecture (SOA) techniques to initialize, coordinate and monitor the supply chains.

Item Type: Book Section
ISBN: 9781424464869, 9781424464876
Uncontrolled Keywords: ResPubID20831, SOA, optimisation, services integration, supply chain management, application software, companies, costs, knowledge management, linear programming, monitoring, prototypes, service oriented architecture, supply chain management, supply chains, automated supply chain integration, automated supply chain optimization, combinatorial guided optimization rules, e-business systems, heuristically guided optimization rules, knowledge-based service system, service oriented architecture, supply chain management
Subjects: FOR Classification > 1503 Business and Management
FOR Classification > 1504 Services
Faculty/School/Research Centre/Department > School of Management and Information Systems
SEO Classification > 8902 Computer Software and Services
Depositing User: VUIR
Date Deposited: 09 May 2013 07:08
Last Modified: 09 May 2013 07:15
URI: http://vuir.vu.edu.au/id/eprint/9862
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Citations in Scopus: 5 - View on Scopus

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