Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/40726
Title: Application of data mining in performance measures
Authors: Chan, MFS
Chung, WWC
Wong, TS
Keywords: Data mining
Manufacturing
Issue Date: 2001
Publisher: SPIE-International Society for Optical Engineering
Source: Proceedings of SPIE : the International Society for Optical Engineering, 2001, v. 4565, 54 How to cite?
Journal: Proceedings of SPIE : the International Society for Optical Engineering 
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.
Description: Conference on Intelligent Systems in Design and Manufacturing IV, Boston, MA, 2001
URI: http://hdl.handle.net/10397/40726
ISSN: 0277-786X
EISSN: 1996-756X
DOI: 10.1117/12.443115
Appears in Collections:Conference Paper

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