DocumentCode
261077
Title
Multiagent based open source for supply chain management using JADE
Author
John, Rolls ; Balakrishnan, S.
fYear
2014
fDate
27-28 Feb. 2014
Firstpage
1
Lastpage
6
Abstract
Supply chain management (SCM) is a very challenging problem that us leveraging the e-commerce explosion. Today´s supply chains are essentially static, because they rely on long-term relationship among key trading partners. Dynamic practices are vital because they offer better matches between suppliers and customers as market conditions change. Multi-agent systems (MAS) offer new perspectives compared to conventional, centrally organized architectures in the scope of supply chain management (SCM). Their structure inherently meets the requirements of decentralized supply chains, whereas conventional SCM systems are often restricted in terms of dynamic behavior, handling severe disturbances at supplier sites as well as dealing with highly customized or complex products. Since necessary data are not available within the whole supply chain, an integrated approach to production planning and control taking into account all the partners involved is not feasible. In this paper a MAS architecture integrating various intelligent agent systems is presented to address the problem.
Keywords
middleware; multi-agent systems; production control; production engineering computing; production planning; public domain software; supply chain management; JADE; MAS architecture; SCM; centrally organized architectures; decentralized supply chains; dynamic behavior; intelligent agent systems; multiagent based open source; multiagent systems; production control; production planning; supply chain management; Companies; Manufacturing; Materials; Multi-agent systems; Supply chain management; Supply chains; Agent Technology; JADE; Multi-Agent System; Supply Chain Management;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Communication and Embedded Systems (ICICES), 2014 International Conference on
Conference_Location
Chennai
Print_ISBN
978-1-4799-3835-3
Type
conf
DOI
10.1109/ICICES.2014.7033963
Filename
7033963
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