Supply chain management for virtual enterprises with adaptive multi-agent mechanism

被引：3

作者：

Kaihara, Toshiya ^{[1
,2
,3
,4
,5
,6
]}

Fujii, Susumu ^{[1
,2
,7
,8
,9
,10
,11
,12
]}

机构：

[1] Department of Computer and Systems Engineering, Kobe University, Kobe, Hyogo 657-8501, Japan

[2] Department of Computer and Systems Engineering, Kobe University, Kobe, Japan

[3] Institute of Systems, Control and Information Engineers

[4] Japan Society for Precision Engineering

[5] IEEE

[6] IFIP

[7] JSPE

[8] JSME

[9] ORSJ

[10] ISCIE

[11] SICE

[12] INFORMS

来源：

International Journal of Manufacturing Technology and Management | 2008年 / 14卷 / 3-4期

关键词：

Adaptive systems - Computer simulation - Game theory - Mathematical models - Multi agent systems - Reinforcement learning - Virtual reality;

D O I：

10.1504/IJMTM.2008.017729

中图分类号：

学科分类号：

摘要：

Although cooperation is the fundamental characteristic of Virtual Enterprise (VE) concept, due to its distributed environment and the autonomous and heterogeneous nature of the VE members, cooperation can only be succeed if a proper management of dependencies between activities is in place. In this paper, we focus on negotiation process in VE formulation to clarify the effective VE management. Each enterprise in VE is defined as agent with multi-utilities and a framework of multi-agent paradigm is newly proposed. We develop a computer simulation model, and clarify the supply chain formulation dynamism on the negotiation process with adaptive behaviour. Copyright © 2008 Inderscience Enterprises Ltd.

引用

页码：299 / 310

共 50 条

[31] A Holonic Multi-agent Model for Oil Industry Supply Chain Management
Marcellino, Fernando J. M.
Sichman, Jaime S.
ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2010, 2010, 6433 : 244 - 253
[32] A multi-agent system for chemical supply chain simulation and management support
García-Flores R.
Wang X.Z.
OR Spectrum, 2002, 24 (3) : 343 - 370
[33] A multi-agent approach for task allocation and execution for supply chain management
Ta, L
Chai, YT
Liu, Y
2005 IEEE Networking, Sensing and Control Proceedings, 2005, : 65 - 70
[34] ECA rule and multi-agent based agile supply chain management
Wang, Liang-Zhu
Fu, Qian
Liu, Jian-Xun
Zhang, Shen-Sheng
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2001, 7 (11): : 11 - 15
[35] A multi-agent system for chemical supply chain simulation and management support
García-Flores, R
Wang, XZ
OR SPECTRUM, 2002, 24 (03) : 343 - 370
[36] An adaptive multi-agent system for cost collaborative management in supply chains
Fu, Jianxi
Fu, Yuanlue
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2015, 44 : 91 - 100
[37] The potential of multi-agent systems in virtual manufacturing enterprises
Roche, C
Fitouri, S
Glardon, R
Pouly, M
NINTH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 1998, : 913 - 918
[38] Knowledge representation for multi-agent negotiations in virtual enterprises
Wang, X. H.
Wong, T. N.
Wang, G.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2011, 49 (14) : 4275 - 4297
[39] Multi-agent learning mechanism design and simulation of multi-echelon supply chain
Sun, Jun-Yan
Tang, Jian-Ming
Chen, Zhi-Rui
COMPUTERS & INDUSTRIAL ENGINEERING, 2022, 168
[40] A multi-agent architecture for lamb supply chain
Mishra, Nishikant
Morris, Wyn
Singh, Akshit
McGuire, Steve
INTERNATIONAL JOURNAL OF INTELLIGENT ENGINEERING INFORMATICS, 2014, 2 (2-3) : 195 - 214

← 1 2 3 4 5 →