E-Book, Englisch, 143 Seiten, eBook
Reihe: EcoProduction
Pawlewski / Hoffa-Dabrowska / Golinska-Dawson FlexSim in Academe: Teaching and Research
1. Auflage 2019
ISBN: 978-3-030-04519-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 143 Seiten, eBook
Reihe: EcoProduction
ISBN: 978-3-030-04519-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book describes a variety of teaching and academic research applications that effectively utilize FlexSim to: (1) provide guidelines, methods and tools for simulation modeling and analysis in a variety of educational settings and (2) address a variety of important design and operational issues in industry. Simulation is increasingly proving to be an important tool for supporting decision-making and problem-solving processes in many disparate domains, including the design, management and improvement of a wide range of operations systems in manufacturing, logistics, healthcare, etc. Achieving resource efficiency and minimizing negative externalities from operations represent two of today’s greatest challenges; modern simulation methods can help to overcome them. FlexSim is a prominent software package for developing discrete-event, agent-based, continuous, and hybrid simulations.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
FlexSim use in didactics, thesis and research in the context of competences for the Industry 4.0.- On the use of projects in simulation courses.- Increasing High School Students’ Interest in Industrial Engineering through a Summer Camp.- Teaching Old Dogs New Tricks.- DES as tool for the decision-making in an offshore manufacturing foundation process.- 3D Discrete Events Simulation to Evaluate the Internal Logistic Strategies in a Shipyard.- The methodology of modeling and simulation of human resources and industrial robots in FlexSim.- Determining of the optimal number of trailers for Milk-Run intralogistics system.- Implementation of calculation for simulation of Milk-run intralogistics system.- Using CSP Solvers as Alternative to Simulation Optimization Engines.
