Simulation

Learn about the basics, benefits and limitations of Simulation, but also to make your own Simulation model.
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this course is part of
Transforming Logistics with Analytics
Authors
Aicha Manuela-Martijn & Ron Vonk
PRICE
Free

About the module

Simulation is a powerful tool, which allows you to create virtual representations (i.e., simulation models) of logistics systems, such as supply chains, warehouse processes or distribution networks. With help of simulation, you can create different scenarios and evaluate their outcomes without having to implement them into daily operations. As such, it is very helpful in testing out new ideas, situations, or strategies. In addition, simulation can also be applied for identifying bottlenecks or gaining more insight in how certain variables influence the performance of the system. Today, using advanced algorithms and technologies, it is even possible to create a detailed, real-time simulation model. Such an advanced real-time simulation models are also referred to as “digital twin”. Digital twins of logistics systems are created by collecting and integrating data from various sources, including sensors, IoT devices, & other data-generating components. 


This course takes you through the basic structure of a (discrete-event) simulation model. Furthermore, the course will also detail the scope of application, benefits and limitations. Finally, you will also learn to build your own simulation model. This includes an explicit focus on validation of the model and interpretation of the results.

More about the authors

Aicha Manuela-Martijn

Aicha Manuela-Martijn, MSc, currently serves as a lecturer and year coordinator for the Business IT & Management course at Rotterdam University of Applied Sciences. She also devoted nine years to the Logistic Management course at the same institution, where she developed simulation cases for the logistics field. Her teaching primarily focuses on mathematics, covering areas such as algebra, linear programming, optimization, data analysis, and simulation.



Ron Vonk

Ron Vonk MSc. teaches Supply Chain Management and is examiner at Fontys University of Applied Science Venlo in the study programs Logistics Engineering and Logistics Management. He has gained experience and special interests in data driven logistics and the automotive branch.  

This publication is part of the project ‘small projects 2022 route transport and logistics' with project number NWA.1418.22.023 which is financed by the Dutch Research Council (NWO).