Title	FlexSim in Academe: Teaching and Research [electronic resource] / edited by Pawel Pawlewski, Patrycja Hoffa-Dabrowska, Paulina Golinska-Dawson, Karolina Werner-Lewandowska
Imprint	Cham : Springer International Publishing : Imprint: Springer, 2019
Edition	1st ed. 2019
Connect to	https://doi.org/10.1007/978-3-030-04519-7
Descript	VIII, 143 p. 72 illus., 50 illus. in color. online resource

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

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.