04762nam 22007335 450 991033791640332120200703111741.03-030-04519-610.1007/978-3-030-04519-7(CKB)4100000007598343(DE-He213)978-3-030-04519-7(MiAaPQ)EBC5654965(PPN)233800565(EXLCZ)99410000000759834320190129d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierFlexSim in Academe: Teaching and Research /edited by Pawel Pawlewski, Patrycja Hoffa-Dabrowska, Paulina Golinska-Dawson, Karolina Werner-Lewandowska1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (VIII, 143 p. 72 illus., 50 illus. in color.) EcoProduction, Environmental Issues in Logistics and Manufacturing,2193-46143-030-04518-8 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. .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.EcoProduction, Environmental Issues in Logistics and Manufacturing,2193-4614Computer simulationIndustrial engineeringProduction engineeringProduction managementBusiness logisticsLearningInstructionSimulation and Modelinghttps://scigraph.springernature.com/ontologies/product-market-codes/I19000Industrial and Production Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T22008Productionhttps://scigraph.springernature.com/ontologies/product-market-codes/519010Logisticshttps://scigraph.springernature.com/ontologies/product-market-codes/519020Supply Chain Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/519030Learning & Instructionhttps://scigraph.springernature.com/ontologies/product-market-codes/O22000Computer simulation.Industrial engineering.Production engineering.Production management.Business logistics.Learning.Instruction.Simulation and Modeling.Industrial and Production Engineering.Production.Logistics.Supply Chain Management.Learning & Instruction.003.3Pawlewski Paweledthttp://id.loc.gov/vocabulary/relators/edtHoffa-Dabrowska Patrycjaedthttp://id.loc.gov/vocabulary/relators/edtGolinska-Dawson Paulinaedthttp://id.loc.gov/vocabulary/relators/edtWerner-Lewandowska Karolinaedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910337916403321FlexSim in Academe: Teaching and Research2224641UNINA