Optimize e-commerce supply chain. based on the fuzzy clustering analysis

被引：2

作者：

Meng, Wanhua ^{[1
]}

机构：

[1] Shaoxing Arts & Sci Coll, Econ & Management Dept, Shaoxing, Zhejiang, Peoples R China

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6 | 2007年

关键词：

e-commerce; supply chain; performance evaluation; clustering analysis; fuzzy;

D O I：

10.1109/ICAL.2007.4339006

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Performance evaluation of supply chain is a newly sprung up research field, and especially the performance evaluation of the e-commerce supply chain is sure to be a new trend in this field. The paper, based on the fuzzy theory, establishes a model of performance evaluation of fuzzy unity, which makes full use of fuzzy clustering analysis to classify and evaluate multiple e-commerce supply chains. And then the paper shows how to apply the evaluation method by giving a sample of analysis. The paper tries to put forward an evaluation method combining the quantitative and qualitative analysis to optimize e-commerce supply chains.

引用

页码：2535 / 2539

页数：5

共 8 条

[1]

HUO JZ, 2005, COMMERCIAL RES, V5, P1

[2]

LIN LH, 2005, J JIANGSU U SOCIAL S, V7, P84

[3]

PENG Z, 2002, FUZZY MATH APPL

[4] Supply chain coordination with demand disruptions [J].

Qi, XT ;

Bard, JF ;

Yu, G .

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2004, 32 (04) :301-312

[5]

[文先明 WEN Xianming], 2005, [系统工程, Systems Engineering], V23, P63

[6]

YU H, 2005, SYSTEMS ENG THEORY P, P9

[7]

ZHANG GH, 2006, J NE U, V17, P706

[8]

ZHAO TZ, 2001, J TSINGHUA U, V41, P123

← 1 →