@inproceedings{65822c2f8f3d4169b0de82b8132c7e38,
title = "Simulation studies on model selection in pm planning optimization",
abstract = "In semiconductor manufacturing, preventive maintenance (PM) is complicated and essential. Since tool down time contributes significantly to manufacturing flow variability and thus mean cycle time, effective PM planning is important. Here we extend existing PM planning methods to allow for four categories of PM models. We study the quality of these PM models and the resulting optimized PM plans via simulation. We observe that the approximate mean cycle time formulae for these models are generally of good accuracy. Our studies show that good PM plans suggested from the use of these approximate formulae remain good plans in the true system. Finally, we study the implications of using optimized PM plans generated from one type of model in another type of model. The results suggest that good PM plans are relatively insensitive to which of the four PM models are selected.",
author = "Minho Lee and Morrison, {James R.} and Kalir, {Adar A.}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Winter Simulation Conference, WSC 2015 ; Conference date: 06-12-2015 Through 09-12-2015",
year = "2016",
month = feb,
day = "16",
doi = "10.1109/WSC.2015.7408396",
language = "English",
series = "Proceedings - Winter Simulation Conference",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "2929--2940",
booktitle = "2015 Winter Simulation Conference, WSC 2015",
address = "United States",
}