Ontology-based Multi-Agent System for Supply Chain Management

다국어 초록 (Multilingual Abstract)

In the fast changing market environment, Supply Chain Management (SCM) has been considered as a powerful strategy to increase enterprise competency. This praceice enables enterprises to share of the information and cooperate even more closely.
This paper explores the issue of how ontology-based Multi-Agent System (MAS) help to facilitate the communication among companies. Mas is expected to enable relevant agents participating team members from different companies to coordinate and communicate based on the roles and rules specified in the ontology.
In this paper, Supply Chain Management System is composed of agent teams of different companies. Every agent team is able to cope with the ontology be used, when the members of Supply Chain is changed or some companie's system need to upgrade. The ontology in this paper is used to represent the service of agents and how to use these service..

목차 (Table of Contents)

• Introduction = 1
• 1.1 Background = 1
• 1.2 Issues = 2
• 1.3 Objectives = 3
• 1.4 Research Scope = 3
• Chapter 2 Literature Review = 5
• 2.1 Supply Chain Management = 5
• 2.1.1 Supply Chain Management Definition = 5
• 2.1.2 SCM Model = 6
• 2.2 Overview of Ontology = 8
• 2.2.1 Ontology Definition = 8
• 2.2.2 The Ontology Development = 10
• 2.2.3 Why Develop an Ontology? = 11
• 2.2.4 Ontology Mapping = 12
• 2.2.5 SCM Ontology = 13
• 2.3 Agent System = 13
• 2.3.1 Multi-Agent System (MAS) = 14
• 2.3.2 Agent Communication Languages (ACLs) = 16
• 2.3.3 Ontology for Agent = 19
• Chapter 3 System Requirement and Software Tool = 22
• 3.1 System Requirement = 22
• 3.2 Software Tool Introduction = 23
• 3.2.1 Java Agent Development Framework (JADE) = 23
• 3.2.2 Aglets = 24
• 3.3 Software Tool Selection = 25
• Chapter 4 Ontology-based Multi-Agent System for SCM = 27
• 4.1 System Framework Analysis = 27
• 4.1.1 Ontology-based MAS Framework = 27
• 4.1.2 Ontology Transform Module = 28
• 4.2 Ontology Mapping Setting = 35
• 4.2.1 Value Mapping = 37
• 4.2.2 Schema Mapping = 38
• 4.3 Message Conversion = 40
• 4.4 System Structure Construction = 41
• 4.4.1 Information Flow = 44
• 4.4.2 Result of test = 47
• Chapter 5 Conclusion and Future = 54
• 5.1 Conclusion = 54
• 5.2 Future Work = 55
• Reference = 56