@inproceedings{7a88024bed944486818c1a0e46df4745,
title = "Using transient simulations to improve field service systems for semiconductor manufacturing",
abstract = "Simulation models of complex real world systems require long computation times for producing reliable estimates of the system performance measures of interest. However, it has been observed in the simulation-based optimization literature that the order and ranking relationship between solutions often become significant very early in the simulation runs, even during the transient state. In this paper we propose a method for using very short transient simulation runs to compare different alternatives which can be quite useful in metaheuristics such as genetic algorithms. We present initial experimentation results for a simple problem system (M/M/1) and a field service system design problem from semiconductor industry.",
keywords = "Heuristic, Simulation-based optimization, Transient simulation",
author = "Fowler, {John W.} and Gel, {Esma S.} and Cem Vardar",
note = "Funding Information: JOHN FOWLER is the Motorola Professor of Supply Chain Management in the W.P. Carey School of Business at Arizona State University. His research interests include discrete event simulation, deterministic scheduling, and multi-criteria decision making. He has published more than 125 journal articles and more than 100 conference papers. https://isearch.asu.edu/profile/36406 ESMA GEL is an Associate Professor in the School of Computing, Informatics and Decision Systems Engineering in the Ira A. Fulton Schools of Engineering at Arizona State University. Her research focuses on the use of applied probability techniques for modelling, design and control of production systems and supply chains, with particular emphasis on workforce engineering. Her work has been published in leading journals and funded by the National Science Foundation, as well as industrial partners such as Intel, IBM and Infineon. Gel is a member of INFORMS, IIE and ASEE. https://isearch.asu.edu/profile/257696 CEM VARDAR is a Principal Optimization Engineer at Carvana. He designs, develops, tests and maintains decision support systems based on mathematical models that run on massive data sets. He approaches decision support system design from an engineering perspective and not merely as scientific problems. https://www.linkedin.com/in/cem-vardar-70119514/ Publisher Copyright: {\textcopyright} 2021 SW 2021. All rights reserved.; 10th Operational Research Society Simulation Workshop, SW 2021 ; Conference date: 22-03-2021 Through 26-03-2021",
year = "2021",
doi = "10.36819/SW21.027",
language = "English (US)",
series = "Operational Research Society 10th Simulation Workshop, SW 2021 - Proceedings",
publisher = "Operational Research Society",
pages = "249--258",
editor = "Masoud Fakhimi and Tom Boness and Duncan Robertson",
booktitle = "Operational Research Society 10th Simulation Workshop, SW 2021 - Proceedings",
}