Distribution Analysis in Manufacturing 2.0 Using Agent Based Modeling and Simulation

被引:0
作者
Choi, Bodeum [1 ]
Kim, Yun Bae [1 ]
Park, Jinsoo [1 ]
Song, Kiburm [1 ]
Jung, Chul Woo [1 ]
机构
[1] Sungkyunkwan Univ, Dept Syst Management Engn, Suwon, South Korea
来源
ADVANCED METHODS, TECHNIQUES, AND APPLICATIONS IN MODELING AND SIMULATION | 2012年 / 4卷
关键词
SYSTEMS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The mechanism of past manufacturing system (manufacturing 1.0) causes long period of development, cost increment and risks, which cannot manage the rapid change of current business environment such as diversified customer needs. The manufacturing 2.0 companies which applied the long tail intend to create values through planning, development, production and marketing for satisfying the customers' specialized needs. Companies can secure the superiority in the market by analysis of distribution channel. Focusing accuracy of distribution channel analysis in manufacturing 1.0 causes it to take long to analyze. However, for the case of manufacturing 2.0, companies sacrifice accuracy for fast analysis of distribution channel. In this paper, we suggest a method to establish and evaluate alternatives with a single model using agent based modeling. Then, we provide the classical simulation results to verify our method.
引用
收藏
页码:95 / 104
页数:10
相关论文
共 8 条
[1]  
[Anonymous], 2006, LONG TAIL WHY FUTURE
[2]  
[Anonymous], 1997, COMPLEXITY COOPERATI
[3]   Agent-based modeling: Methods and techniques for simulating human systems [J].
Bonabeau, E .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 :7280-7287
[4]  
Borshchev A., 2004, P 22 INT C SYSTEM DY
[5]  
DeVol R., 2009, MANUFACTURING 2 0 MO
[6]  
Jacobson S.F., 2010, MANUFACTURING 2 0 FR
[7]   An agent-based approach for building complex software systems - Why agent-oriented approaches are well suited for developing complex, distributed systems. [J].
Jennings, NR .
COMMUNICATIONS OF THE ACM, 2001, 44 (04) :35-41
[8]  
Mainzer K, 2007, THINKING COMPLEXITY