Title: Intelligent quality planning for quality deployment based on the balanced score card: application to the mobile communication industry

Authors: Ui Tak Yun, Sang Chan Park

Addresses: Dept of Industrial Engineering, KAIST, 373-1 Kusong-dong, Yusong-gu, Taejon 305-701, Korea. Dept of Industrial Engineering, KAIST, 373-1 Kusong-dong, Yusong-gu, Taejon 305-701, Korea

Abstract: In this paper, we suggest an intelligent quality measures method for the quality deployment based on BSC (Balanced Score Card). More specifically, we unfold them by selecting critical elements from Service Survey data in the mobile communication industry using Factor Analysis and Partial Correlation. Then, we find potential customers who fit into the demographic features of the target customer group identified as a result of applying machine learning modules such as Self Organising Map and Classifiers to the abovementioned data. Finally, we perform loyalty analysis that distinguishes the loyalty group from the potentially profitable one by using the same machine learning modules. The first step relates to the internal perspective of BSC, the second step relates to BSC|s customer perspective and the third step relates to the financial perspective of BSC.

Keywords: balanced score card; service survey; machine learning; loyalty analysis; mobile communication industry.

DOI: 10.1504/IJMTM.2003.002530

International Journal of Manufacturing Technology and Management, 2003 Vol.5 No.1/2, pp.52-61

Published online: 23 Jul 2003 *

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