An empirical evidence of the financial performance of lean production adoption: a self-organizing neural networks approach

Author

Biscontri, Robert ; Park, Kyungjoo

Author_Institution

Dept. of Accountancy, Hong Kong Polytech. Univ., Hung Hom, China

Volume

5

fYear

2000

fDate

2000

Firstpage

297

Abstract

This paper demonstrates the feasibility of the application of self-organizing mapping neural networks (SOMs) to examine the financial performance of the U.S. lean production firms. One of the most important evolutions of management practice is lean production. Lean production includes programs such as customer satisfaction, just-in-time (JIT), total quality management (TQM), employee empowerment, and other organizational learning and improvement activities (Kaplan 1992)

Keywords

financial data processing; production engineering computing; quality management; self-organising feature maps; customer satisfaction; employee empowerment; financial performance; just-in-time; lean production firms; organizational learning; self-organizing neural network; total quality management; Automatic control; Costs; Couplings; Customer satisfaction; Data analysis; Lean production; Manufacturing processes; Neural networks; Statistical analysis; Total quality management;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on

Conference_Location

Como

ISSN

1098-7576

Print_ISBN

0-7695-0619-4

Type

conf

DOI

10.1109/IJCNN.2000.861477

Filename

861477