Implementation of decision tree for maintenance policy decision making- A case study in semiconductor industry

Advanced Materials Research

Volumn 591-593, Issue , 2012, Pages 704-707

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

^a SCHOOL OF PHYSICS   (Malaysia)

Author keywords

Decision making; Decision tree; Maintenance policy; Semiconductor industry

Indexed keywords

ANALYSIS OF VARIOUS; DECISION MAKING PROCESS; FAILURE MECHANISM; HARD WORK; MACHINE PERFORMANCE; MAINTENANCE CREW; MAINTENANCE POLICY; PRODUCT QUALITY; SEMICONDUCTOR INDUSTRY;

DECISION TREES; INDUSTRIAL ENGINEERING; MAINTENANCE; PLANNING; SEMICONDUCTOR DEVICE MANUFACTURE;

DECISION MAKING;

EID: 84871057685     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.591-593.704     Document Type: Conference Paper

References (4)

1. T. Rosqvist, K. Laakso, and M. Reunanen. Value Driven Maintenance Planning for a Production Plant. Reliability Engineering and System Reliability. Vol. 94 (2009), p. 97-110.
2. R.M.C. Ratnayake and T. Markeset. Technical integrity management: measuring HSE awareness using AHP in selecting a maintenance strategy. Journal of Quality in Maintenance Engineering. Vol. 16 (2010), p. 44-63.
3. Waeyenbergh, G. and Pintolen, L. CIBOCOF: A framework for industrial maintenance concept development. International Journal of Production Economics. Vol. 121 (2009), p. 633-640.
4. Navada, A., Ansari, A. N., Patil, S. and Sonkamble, B. A. Overview of use of decision tree algorithms in machine learning. IEEE Control and System Graduate Research Colloquium. (2011), p. 37-42.