An Agent-Based Collaborative Negotiation System for Global Manufacturing Supply Chain Management

2006 ◽  
pp. 243-271 ◽  
Author(s):  
Jianxin Jiao ◽  
Xiao You ◽  
Arun Kumar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Broad Class ◽  
Chain Management ◽  
Agent Based ◽  
Global Manufacturing ◽  
Manufacturing Supply Chain ◽  
Collaborative Negotiation ◽  
Multi Agent

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.

An Agent-Based Collaborative Negotiation System for Global Manufacturing Supply Chain Management

2008 ◽  
pp. 2598-2617
Author(s):  
Jianxin Jiao ◽  
Xiao You ◽  
Arun Kumar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Broad Class ◽  
Chain Management ◽  
Agent Based ◽  
Global Manufacturing ◽  
Manufacturing Supply Chain ◽  
Collaborative Negotiation ◽  
Multi Agent

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.

A-TEAM BASED SUPPLY CHAIN MANAGEMENT AGENT ARCHITECTURE

2009 ◽  
Vol 18 (06) ◽  
pp. 801-823 ◽  
Author(s):  
YUJUN ZHENG ◽  
JINQUAN WANG ◽  
JINYUN XUE
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Problem Solving ◽  
Supply Chains ◽  
Agent Architecture ◽  
Chain Management ◽  
Agent Based ◽  
Multi Agent ◽  
Communication And Coordination

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.

The Use of Multi-Agent Systems in Managing Sustainable Supply Chain

2013 ◽  
Vol 315 ◽  
pp. 108-112
Author(s):  
Majid Aarabi ◽  
Muhamad Zameri Mat Saman ◽  
Kuan Yew Wong
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Sustainable Supply Chain ◽  
Multi Agent Systems ◽  
Chain Management ◽  
Agent Based ◽  
Goods And Services ◽  
Proposed Model ◽  
Multi Agent

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.

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