Editorial: Simulation optimization in manufacturing and services
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Editorial: Simulation optimization in manufacturing and services Carlo Meloni1 · Giulia Pedrielli2 · Inneke Van Nieuwenhuyse3 · Jie Xu4 Accepted: 26 October 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
1 Introduction Simulation Optimization is an active field of research and is also increasingly being used in practical simulation applications and incorporated into both simulation and optimization software packages. This Special Issue of Flexible Services and Manufacturing (FSM) journal is devoted to report the recent advancements in Simulation Optimization techniques for manufacturing and services systems and how they are applied in practice. Indeed, many systems in several areas of manufacturing and service management are too complex to be studied analytically, and computer simulation has long been a useful tool for evaluating the performance of such systems. However, a simple evaluation of performance is often insufficient. To this aim, a deeper exploratory process may be provided by Simulation Optimization, which is the process of finding the combination of decision variables corresponding to the best performance of a system, evaluated through the output of a suitable simulation model. There has been a great deal of work on Simulation Optimization in the research literature, and optimization (simulation) procedures have been recently incorporated into several commercial simulation (optimization) software tools. Methods for Simulation Optimization vary greatly depending on the problem setting and how the possible uncertainties are considered. There also appears to be a * Carlo Meloni [email protected] Giulia Pedrielli [email protected] Inneke Van Nieuwenhuyse [email protected] Jie Xu [email protected] 1
Politecnico di Bari, Bari, Italy
2
Arizona State University, Tempe, USA
3
Universiteit Hasselt, Hasselt, Belgium
4
George Mason University, Fairfax, USA
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significant gap between those techniques that have been extensively studied in the research literature and those that are commonly used in practice. Indeed, this difference is widely recognized, and this Special Issue of FSM aims to help bridging this gap. Papers included in the Special Issue provide a substantial novel contribution with regard to the relevant scientific literature. They address research issues linked to Simulation Optimization, and how it can contribute to solve real/realistic problems. Topics cover methods and applications of Simulation Optimization to manufacturing and services systems. Application oriented articles also bring a scientific contribution, highlighting the underlying theoretical issues, and explaining the concrete benefits obtained in the application. The reviewing process involved a number of experts in various fields. Strict evaluation criteria respecting the high standards of the journal were applied. The papers accepted for publication address different currently challenging application areas and new concepts in modeli
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