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Proceedings Paper

Application of data mining in performance measures
Author(s): Michael Fook Siu Chan; Walter Wing-Cheung Chung; Tai Sun Wong
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Paper Abstract

This paper proposes a structured framework for exploiting data mining application for performance measures. The context is set in an airline company is illustrated for the use of such framework. The framework takes in consideration of how a knowledge worker interacts with performance information at the enterprise level to support them to make informed decision in managing the effectiveness of operations. A case study of applying data mining technology for performance data in an airline company is illustrated. The use of performance measures is specifically applied to assist in the aircraft delay management process. The increasingly dispersed and complex operations of airline operation put much strain on the part of knowledge worker in using search, acquiring and analyzing information to manage performance. One major problem faced with knowledge workers is the identification of root causes of performance deficiency. The large amount of factors involved in the analyze the root causes can be time consuming and the objective of applying data mining technology is to reduce the time and resources needed for such process. The increasing market competition for better performance management in various industries gives rises to need of the intelligent use of data. Because of this, the framework proposed here is very much generalizable to industries such as manufacturing. It could assist knowledge workers who are constantly looking for ways to improve operation effectiveness through new initiatives and the effort is required to be quickly done to gain competitive advantage in the marketplace.

Paper Details

Date Published: 3 October 2001
PDF: 8 pages
Proc. SPIE 4565, Intelligent Systems in Design and Manufacturing IV, (3 October 2001); doi: 10.1117/12.443115
Show Author Affiliations
Michael Fook Siu Chan, Hong Kong Polytechnic Univ. (Hong Kong)
Walter Wing-Cheung Chung, Hong Kong Polytechnic Univ. (Hong Kong)
Tai Sun Wong, Hong Kong Polytechnic Univ. (Hong Kong)

Published in SPIE Proceedings Vol. 4565:
Intelligent Systems in Design and Manufacturing IV
Angappa Gunasekaran; Bhaskaran Gopalakrishnan, Editor(s)

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