A rough set approach on supply chain dynamic performance measurement

被引:0
|
作者
Zheng, Pei [1 ]
Lai, Kin Keung [1 ]
机构
[1] Hunan Univ, Coll Business Adm, Changsha 410082, Peoples R China
来源
AGENT AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS, PROCEEDINGS | 2008年 / 4953卷
关键词
Agile Virtual Enterprise (AVE); performance measurement; dynamic balanced scorecard; Rough Set (RS); attribute reduct;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Most of the times, traditional supply chain performance measurement is a static method. However, in the real world, the supply chain is a dynamic system, which needs dynamic performance measurement methods. For the sake of integrative performance measurement of agile virtual enterprise, the traditional Balanced Scorecard is extended into 5 dimensions. According to it, incorporated with the Rough Set theory, the decision table of dynamic performance measurement is constructed. The decision rule set of performance measurement prediction is obtained by attribute reduct and value reduct of decision table. Finally, a calculation example of performance measurement is provided, which shows that the suggested evaluation method is feasible and efficient for dynamic performance measurement and forecasts. Thus, it supplies reasonable analysis and policy making tools for supply chain management.
引用
收藏
页码:312 / 322
页数:11
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