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About this book

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.

Table of Contents




FlexSim Use in Didactics, Thesis, and Research in the Context of Competences for the Industry 4.0

The aim of this chapter is to present the use of FlexSim software, which is predominantly used for simulation and optimization of business processes, in the area of scientific research and academic education at the level of diploma theses. The chapter consists of three parts. At first, competences for Industry 4.0 are introduced. Then, the use of FlexSim in the area of teaching, dissertations, and research is presented. Finally, there is demonstrated how the use of FlexSim software in the specified areas contributes to the development of competences for the Industry 4.0, named as C4I4.0.
Karolina Werner-Lewandowska, Agnieszka Grzelczak, Pawel Pawlewski, Monika Kosacka-Olejnik



On the Use of Projects in Simulation Courses

Simulation provides a valuable means to design and improve a wide variety of operations systems. Most industrial engineering and management science curricula require at least one course on simulation. Since simulation is meant to be applied, these courses typically include student projects to complement the discussion of simulation methodologies and an introduction to simulation technologies, i.e., modeling and analysis software. In order to be effective, simulation projects must carefully be integrated with the coverage of methodologies and technologies. This chapter provides guidance on how to effectively design and manage simulation course projects, both from the educator’s and student’s perspectives.
Allen G. Greenwood

Increasing High School Students’ Interest in Industrial Engineering Through a Summer Camp

Students’ transition from high school to university for pursuing an engineering degree can be challenging due to the changes when the lecturing culture changes. Some engineering students spend up to 2 years to figure out the engineering degree that they would want to pursue. Students can be familiarized with the industrial engineering concepts during their junior or senior high school years. In this work, the researcher will present the data collected on high school students’ ability to understand and employ a “lighter” version of the simulation course concepts taught to junior level industrial engineering undergraduate students. The data set was collected during an online summer camp offered to high school students and analyzed qualitatively and quantitatively to observe the summer camp’s impact on high school students’ interest in industrial engineering and simulation concepts. The qualitative and quantitative results both indicated an increase in camp participants’ interest to pursue an industrial engineering degree in the future.
Emre Tokgöz

Teaching Old Dogs New Tricks

Simulation use increases as university students continue in their professional careers—but it is a slow process. However, the potential exists for simulation to make a much more immediate, significant, and long-lasting contribution. That potential is released by educating those professionals already involved solving problems in dynamic systems. Such an education focus is not without significant challenges. This paper is based on direct, personal experience introducing technology into various organizations. Successfully teaching such new skills to in-place professionals requires knowledge of the individuals being taught as well as how the technology is applied.
Malcolm Beaverstock



DES as Tool for the Decision-Making in an Offshore Manufacturing Foundation Process

The potential of offshore wind energy is linked to a reduction of costs per KWh. Several studies have pointed out the potential reduction of manufacturing process and its impact on the final results, especially in substructures cost. This chapter presents an implementation of 3D Discrete Event Simulation (DES) in an offshore manufacturing foundation process to increase the efficiency of the process by reducing costs and delivery times. The simulation is used as an integrating tool that supports the management team in the decision-making process, since the commercial phase to the project completion.
Jose Antonio Muiña Dono, Adolfo Lamas Rodríguez, David Chas Álvarez

3D Discrete Events Simulation to Evaluate the Internal Logistic Strategies in a Shipyard

This paper presents an innovative parametric decision model designed by applying 3D Discrete Events Simulation (DES) concepts and customized to be applicable in offshore wind turbine foundations manufacturing plant. The high penalties applicable per day in case of delay in the fulfillment of any Load-Out milestones and the limited space available in the shipyard justify the use of this kind of 3D and parametric decision tool. This tool uses as a restriction the available internal logistic resources and buffers spaces, taking into account the high penalties defined by the customer in case of break the Load-Out milestones in order to achieve the best internal logistic strategy.
Adolfo Lamas Rodríguez, David Chas Álvarez, Jose Antonio Muiña Dono

The Methodology of Modeling and Simulation of Human Resources and Industrial Robots in FlexSim

Nowadays, the manufacturing processes become more complex and difficult to analyze. Therefore, the computer simulation is widely used for modeling of manufacturing systems that can include human resources and industrial robots. In the article, the human- and robot-related factors are described, and the methodology of modeling and simulation of human operators and industrial robots is presented. It is based on Overall Equipment Effectiveness (OEE) factors and includes planned availability and failures, work performance, and product quality. An example of industrial press line with modeling and simulation of human resources and industrial robots in FlexSim is presented that allows for better representation and understanding of the real production process.
Grzegorz Gołda, Adrian Kampa, Damian Krenczyk

Determination of the Optimal Number of Trailers for Milk-run Intralogistics System

This chapter describes the author’s method of designation of optimal number of trailers for milk-run system. Designated method is created based on MS Excel. In the literature analysis, authors describe milk-run intralogistics systems, advantages and disadvantages of this system, and the issue related to determining the optimum number of means of transport. Described developed method defines several basic steps leading to determining the optimal number of trailers, based on the specificity of the production system, the size, and distribution of demand, the characteristics of the selected trailers types and the size of transport containers. In described approach, authors also include the determination of the size and frequency of deliveries, based on the specificity of the orders from workstations and the arrangement of the bus stops. All stages of the analysis are presented based on the example of the selected theoretical production system. The goal of determination of optimal number of trailers is minimizing the cost of purchasing vehicles, ensuring safe, timely, and efficient supplies of parts to individual locations, while minimizing traffic congestion and the achievement of proper use of available labor resources.
Kamila Kluska

Implementation of Calculation for Simulation of Milk-run Intralogistics System

Designing and modeling milk-run intralogistics systems create many aspects which have to be considered. Determining the appropriate number of trains together with defining the right parts for transport in trains and the definition of routes for them is often a big challenge for the designer. Next challenge is validation of designed system (number of trains, routes, and choosing right trailer for defined parts). For validation useful can be simulation model. In this chapter, authors present one step of methodology of designing milk-run intralogistics systems. They describe how to implement the calculation results about number of trains, trailers, and routes into the simulation model.
Kamila Kluska, Patrycja Hoffa-Dąbrowska

Using CSP Solvers as Alternative to Simulation Optimization Engines

This paper describes the results in the area of modeling and simulation of the milk-run systems in assembly plants. We propose a hybrid solution in order to show how the simulation and optimization can be combined to make such systems more efficient. The paper describes the preliminary results of the research that will be developed in the future.
Pawel Pawlewski, Marcin Anholcer
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