Study on multi-agent-based agile supply chain management

2004 ◽  
Vol 23 (3-4) ◽  
pp. 197-203 ◽  
Author(s):  
Ping Lou ◽  
Zu-de Zhou ◽  
You-Ping Chen ◽  
Wu Ai
2008 ◽  
pp. 2598-2617
Author(s):  
Jianxin Jiao ◽  
Xiao You ◽  
Arun Kumar

This chapter applies the multi-agent system paradigm to collaborative negotiation in a global manufacturing supply chain network. Multi-agent computational environments are suitable for dealing with a broad class of coordination and negotiation issues involving multiple autonomous or semi-autonomous problem-solving agents. An agent-based multi-contract negotiation system is proposed for global manufacturingsupply chain coordination. Also reported is a case study of mobile phone global manufacturing supply chain management.


Author(s):  
Jianxin Jiao ◽  
Xiao You ◽  
Arun Kumar

This chapter applies the multi-agent system paradigm to collaborative negotiation in a global manufacturing supply chain network. Multi-agent computational environments are suitable for dealing with a broad class of coordination and negotiation issues involving multiple autonomous or semi-autonomous problem-solving agents. An agent-based multi-contract negotiation system is proposed for global manufacturingsupply chain coordination. Also reported is a case study of mobile phone global manufacturing supply chain management.


2013 ◽  
Vol 315 ◽  
pp. 108-112
Author(s):  
Majid Aarabi ◽  
Muhamad Zameri Mat Saman ◽  
Kuan Yew Wong

The main purposes and challenges in supply chain management are reducing cost and time. Significantly, factors such as the competition of markets in the globe, limitation of energy, raw and virgin materials, environmental protection crisis and increasing of global population dramatically are causing unprecedented issues for the worldwide supply chains for providing goods and services to customers efficiently and effectively. The sustainability approach for Supply Chain Management (SCM) considers the 6Rs principles in four main stages of the supply chains: Pre-manufacture, Manufacture, Use and Post-use. The use of Multi-Agent System (MAS) prepares the most important requirements of an effective sustainable supply chain. At the same time, this agent-based approach provides reliable and agile systems, which will enable enterprises to accommodate ever changing needs of their customers in the future. In this article, the use of MAS for optimal Sustainable Supply Chain Management (SSCM) is reviewed and the integrated functioning of certain agents resulting in information sharing is also demonstrated. With this idea, an attempt is made to provide a MAS model for the SSCM. In the proposed model, each agent performs a specific function of the organization and shares information with other agents. In order to describe this multi-agent based approach, a simple case study is given to illustrate the sustainable supply chain operations.


2013 ◽  
Vol 706-708 ◽  
pp. 2017-2020
Author(s):  
Yi Xian Chai ◽  
Yan Li Xu ◽  
Dan Liu

The bottlenecks of supply chain management need to be solved. The development of internet promotes the Agent technology. Internet makes the Agent technology become a powerful tool that breaks through the bottlenecks of the supply chain management skills. With the guidance of system engineering and methods, an agile supply chain management system with Agent technology of artificial intelligence is presented in this paper. The application of Multi-Agent technology in the ASCM model is discussed also. Results indicate that the application of Multi-Agent skill in the ASCM model is a feasible way of thinking and appropriate approach.


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