A multi-agent architecture for outsourcing SMEs manufacturing supply chain

2015 ◽  
Vol 36 ◽  
pp. 36-44 ◽  
Author(s):  
Sushma Kumari ◽  
Akshit Singh ◽  
Nishikant Mishra ◽  
Jose Arturo Garza-Reyes
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.


2004 ◽  
Vol 15 (8) ◽  
pp. 745-755 ◽  
Author(s):  
Daniel Roy ◽  
Didier Anciaux ◽  
Thibaud Monteiro ◽  
Latifa Ouzizi

2016 ◽  
Vol 49 (12) ◽  
pp. 1245-1250 ◽  
Author(s):  
Nataliya N. Bakhtadze ◽  
Oleg V. Karsaev ◽  
Gulnara S. Smirnova ◽  
Rustem A. Sabitov ◽  
Boris M. Morozov ◽  
...  

2009 ◽  
Vol 18 (06) ◽  
pp. 801-823 ◽  
Author(s):  
YUJUN ZHENG ◽  
JINQUAN WANG ◽  
JINYUN XUE

Today's supply chains increasingly involve complex sets of processes, objectives and constraints, and therefore agent-based architectures for supply chain management (SCM) become much more difficult to implement and maintain. The paper presents a multi-agent architecture for specifying, analyzing and developing SCM systems, in which asynchronous teams (A-Team) of problem solving agents exchange results within populations that provide effective management of information flows in supply chains, and cooperate to produce sets of non-dominated solutions that show the tradeoffs between objectives. Our approach distinguishes itself by improving problem-solving efficiency based on a diverse set of algorithms without complicated synthesis efforts, removing the focus from agent communication and coordination details, and improving reusability, flexibility and extensibility by supporting object-oriented and component-based programming style. We examine the effectiveness of the architecture through a real-world case study and experimental results.


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