Implementation of Decision Tree for Maintenance Policy Decision Making - A Case Study in Semiconductor Industry

Siew Hong Ding; Teing Tien Goh; Pei Sze Tan; Siew Ching Wee; Shahrul Kamaruddin

doi:10.4028/www.scientific.net/AMR.591-593.704

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 591-593Implementation of Decision Tree for Maintenance...

Implementation of Decision Tree for Maintenance Policy Decision Making - A Case Study in Semiconductor Industry

Abstract:

Suitable maintenance policy implemented in particular machine able to improve the machine performance as well as the product quality. However, selecting a suitable maintenance policy is a vital and hard work because it has to be decided from analysis of various criteria including failure mechanism and resources limitation. Thus, decision tree is suggested in this paper to provide assistance for maintenance crew in conducting a systematic and efficient decision making process in determining the suitable maintenance policy. In the end of the paper, a case study in semiconductor industry is conducted to illustrate the practicability of developed decision tree.

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Periodical:

Advanced Materials Research (Volumes 591-593)

Pages:

704-707

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.591-593.704

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Online since:

November 2012

Authors:

Siew Hong Ding, Teing Tien Goh, Pei Sze Tan, Siew Ching Wee, Shahrul Kamaruddin

Keywords:

Decision Tree, Decision-Making, Maintenance Policy, Semi Conductor Industry

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References

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