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Process Mining Contributions to Discrete-event Simulation Modelling
Business Systems Research, 2020 Background: Over the last 20 years, process mining has become a vibrant research area due to the advances in data management technologies and techniques and the advent of new process mining tools. Recently, the links between process mining and simulation
Jadrić Mario +2 more
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Enhancing discrete-event simulation with big data analytics: A review
Journal of the Operational Research Society, 2019 This article presents a literature review of the use of the OR technique of discrete-event simulation (DES) in conjunction with the big data analytics (BDA) approaches of data mining, machine learning, data farming, visual analytics, and process mining ...
A. Greasley, J. Edwards
semanticscholar +1 more source
Facilitating the analysis of a UK national blood service supply chain using distributed simulation [PDF]
, 2009 In an attempt to investigate blood unit ordering policies, researchers have created a discrete-event model of the UK National Blood Service (NBS) supply chain in the Southampton area of the UK.
Alder, D. +37 more
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Distributed discrete-event simulation [PDF]
ACM Computing Surveys, 1986 Traditional discrete-event simulations employ an inherently sequential algorithm. In practice, simulations of large systems are limited by this sequentiality, because only a modest number of events can be simulated. Distributed discrete-event simulation (carried out on a network of processors with asynchronous message-communicating capabilities) is ...
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A modular hybrid simulation framework for complex manufacturing system design [PDF]
, 2019 For complex manufacturing systems, the current hybrid Agent-Based Modelling and Discrete Event Simulation (ABM–DES) frameworks are limited to component and system levels of representation and present a degree of static complexity to study optimal ...
Erkoyuncu, J. A. +3 more
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A General Simulation Framework for Supply Chain Modeling: State of the Art and Case Study
, 2010 Nowadays there is a large availability of discrete event simulation software that can be easily used in different domains: from industry to supply chain, from healthcare to business management, from training to complex systems design.
Cimino, Antonio +2 more
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Towards a DEVS Model Management System for Decision-Making Web Applications
Information, 2023 The discrete event system specification formalism introduced by Zeigler in the 1970s is ideally associated with new technological advances in the web to offer an almost quasi-automatic mechanism for exporting its simulation models associated with ...
Laurent Capocchi +1 more
doaj +1 more source
A decision support system for demand and capacity modelling of an accident and emergency department [PDF]
, 2019 © 2019 Operational Research Society.Accident and emergency (A&E) departments in England have been struggling against severe capacity constraints. In addition, A&E demands have been increasing year on year. In this study, our aim was to develop a decision
Demir, Eren +2 more
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Probabilistic Reachability Analysis for Large Scale Stochastic Hybrid Systems [PDF]
, 2007 This paper studies probabilistic reachability analysis for large scale stochastic hybrid systems (SHS) as a problem of rare event estimation. In literature, advanced rare event estimation theory has recently been embedded within a stochastic analysis ...
Bakker, G.J., Blom, H.A.P., Krystul, J.
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Ciw: An open-source discrete event simulation library [PDF]
J. Simulation, 2017 This paper introduces Ciw, an open-source library for conducting discrete event simulations that has been developed in Python. The strengths of the library are illustrated in terms of best practice and reproducibility for computational research.
Geraint I. Palmer +3 more
semanticscholar +1 more source