@inproceedings{41722edc5f3a49a58a15cd9810c28e29,
title = "Mean cycle time optimization in semiconductor tool sets via pm planning with different cycles: A G/G/m queueing and nonlinear programming approach",
abstract = "In semiconductor manufacturing, preventive maintenance (PM) activities are typically scheduled via a two tier hierarchical decomposition approach. The first decision tier determines a PM cycle plan while the second tier schedules these planned events into the manufacturing operations. Following recent work based on the use of G/G/m queueing approximations for PM planning, we develop a method to allow for multiple PM cycles in a tool set. We formulate a nonlinear program with the PM cycle durations as continuous decision variables with the objective of minimizing the mean cycle time. We examine certain special cases and characterize the optimal solutions. Numerical studies are conducted with realistic multiple PM cycle data to assess the implications of the proposed approach. The results suggest that it may be possible to obtain significant improvements in the overall cycle time performance of tool sets in semiconductor manufacturing relative to existing PM planning procedures.",
author = "Morrison, {James R.} and Hungil Kim and Kalir, {Adar A.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 Winter Simulation Conference, WSC 2014 ; Conference date: 07-12-2014 Through 10-12-2014",
year = "2015",
month = jan,
day = "23",
doi = "10.1109/WSC.2014.7020090",
language = "English",
series = "Proceedings - Winter Simulation Conference",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "2466--2477",
editor = "Andreas Tolk and Levent Yilmaz and Diallo, {Saikou Y.} and Ryzhov, {Ilya O.}",
booktitle = "Proceedings of the 2014 Winter Simulation Conference, WSC 2014",
address = "United States",
}