A toolkit of designs for mixing discrete event simulation and system dynamics

DOI10.1016/J.EJOR.2016.08.016zbMath1394.90604OpenAlexW2509603692MaRDI QIDQ1752880

Jennifer Sian Morgan, Valerie Belton, Susan Howick

Publication date: 24 May 2018

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2016.08.016

zbMATH Keywords

problem structuringdiscrete event simulationsystems dynamicsmixing OR methods

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Management decision making, including multiple objectives (90B50) Case-oriented studies in operations research (90B90)

Related Items (7)

A review of applications of operational research in healthcare coordination in disaster management ⋮ Multimethodology for diagnosis and intervention in a prosthetics and orthotics factory in Brazil ⋮ Metalearning of time series: an approximate dynamic programming approach ⋮ Strengthening `good' modelling practices in robust decision support: a reporting guideline for combining multiple model-based methods ⋮ Hybrid simulation modelling in operational research: a state-of-the-art review ⋮ Hybrid models as transdisciplinary research enablers ⋮ A hybrid simulation-based optimization framework supporting strategic maintenance development to improve production performance

Uses Software

• DYNAMO
• AnyLogic

Cites Work

• A discrete event simulation model in the case of managing a software project
• Social theory and system dynamics practice
• Strands of practice in OR (the practitioner's dilemma)
• The evaluation of disease prevention and treatment using simulation models
• Combining PSMs with hard OR methods: the philosophical and practical challenges
• A Unifying View of Hybrid Simulation/Analytic Models and Modeling
• On the nature of discontinuities in system dynamics modelling of disrupted projects
• Contemporary OR/MS in strategy development and policy-making: some reflections
• Emergency and on-demand health care: modelling a large complex system
• Distributed simulation of hybrid systems with AnyLogic and HLA
• Discrete-event simulation: from the pioneers to the present, what next?
• Modelling the feedback effects of reconfiguring health services

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