Semiconductor manufacturing simulation design and analysis with limited data
Files
Accepted manuscript
Date
DOI
Authors
Gunes Corlu, Canan
Biller, Bahar
Dulgeroglu, Onur
Hartig, Michael
Olson, Ronald J.
Sandvik, Peter
Trant, Gerald
Version
OA Version
Citation
C Gunes Corlu, Biller, Dulgeroglu, Hartig, Olson, Sandvik, Trant. "Semiconductor manufacturing simulation design and analysis with limited data." 2017 American Society of Mechanical Engineers
Abstract
This paper discusses simulation design and analysis for Silicon Carbide (SiC) manufacturing operations management at New York Power Electronics Manufacturing Consortium (PEMC) facility. Prior work has addressed the development of manufacturing system simulation as the decision support to solve the strategic equipment portfolio selection problem for the SiC fab design [1]. As we move into the phase of collecting data from the equipment purchased for the PEMC facility, we discuss how to redesign our manufacturing simulations and analyze their outputs to overcome the challenges that naturally arise in the presence of limited fab data. We conclude with insights on how an approach aimed to reflect learning from data can enable our discrete-event stochastic simulation to accurately estimate the performance measures for SiC manufacturing at the PEMC facility.