FlexSim in Academe: Teaching and Research

Description

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. Front Matter ....Pages i-viii Front Matter ....Pages 1-1 FlexSim Use in Didactics, Thesis, and Research in the Context of Competences for the Industry 4.0 (Karolina Werner-Lewandowska, Agnieszka Grzelczak, Pawel Pawlewski, Monika Kosacka-Olejnik)....Pages 3-16 Front Matter ....Pages 17-17 On the Use of Projects in Simulation Courses (Allen G. Greenwood)....Pages 19-31 Increasing High School Students’ Interest in Industrial Engineering Through a Summer Camp (Emre Tokgöz)....Pages 33-45 Teaching Old Dogs New Tricks (Malcolm Beaverstock)....Pages 47-56 Front Matter ....Pages 57-57 DES as Tool for the Decision-Making in an Offshore Manufacturing Foundation Process (Jose Antonio Muiña Dono, Adolfo Lamas Rodríguez, David Chas Álvarez)....Pages 59-71 3D Discrete Events Simulation to Evaluate the Internal Logistic Strategies in a Shipyard (Adolfo Lamas Rodríguez, David Chas Álvarez, Jose Antonio Muiña Dono)....Pages 73-86 The Methodology of Modeling and Simulation of Human Resources and Industrial Robots in FlexSim (Grzegorz Gołda, Adrian Kampa, Damian Krenczyk)....Pages 87-99 Determination of the Optimal Number of Trailers for Milk-run Intralogistics System (Kamila Kluska)....Pages 101-113 Implementation of Calculation for Simulation of Milk-run Intralogistics System (Kamila Kluska, Patrycja Hoffa-Dąbrowska)....Pages 115-129 Using CSP Solvers as Alternative to Simulation Optimization Engines (Pawel Pawlewski, Marcin Anholcer)....Pages 131-143