On the measurement of enterprise agility

被引:127
作者
Tsourveloudis, NC [1 ]
Valavanis, KP [1 ]
机构
[1] Tech Univ Crete, Dept Prod Engn & Management, Lab Intelligent Syst & Technol, Khania 73100, Crete, Greece
关键词
agility metrics; enterprise agility; agile manufacturing; fuzzy logic;
D O I
10.1023/A:1015096909316
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Agility metrics are difficult to define in general, mainly due to the multidimensionality and vagueness of the concept of agility itself. In this paper, a knowledge-based framework is proposed and presented as a candidate solution for the measurement and assessment of manufacturing agility. Given an enterprise, in order to calculate its overall agility, a set of quantitatively defined agility parameters is proposed and grouped into production, market, people and information infrastructures. The combined, resulting, measure incorporates the individual and grouped infrastructure agility parameters and their variations into one calculated value of the overall agility. The necessary expertise used to quantitatively determine and measure individual agility parameters is represented via fuzzy logic terminology that allows for human-like knowledge representation and reasoning. An example demonstrates the feasibility and applicability of the proposed approach.
引用
收藏
页码:329 / 342
页数:14
相关论文
共 15 条
[1]  
[Anonymous], AGILE MANUFACTURING
[2]  
[Anonymous], 1991, FUZZY SET THEORY ITS
[3]  
COBB CK, 1996, CALS EXP 96
[4]  
DeVor R, 1997, IIE TRANS, V29, P813
[5]  
DEVOR R, 1995, DAMA1195 DEP EN
[6]  
Goldman S., AGILE COMPETITORS VI
[7]  
Goldman S.L., 1991, 21 CENTURY MANUFACTU
[8]  
GORANSON HT, 1992, ENTERPRISE INTEGRATI, P78
[9]   Design of assembly systems for modular products [J].
He, DW ;
Kusiak, A .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1997, 13 (05) :646-655
[10]  
Lefort L, 1998, IEEE INT CONF ROBOT, P266, DOI 10.1109/ROBOT.1998.676395