In this article I introduce my webshop for simulation model development experts. Being a simulation developer myself I have spent a lot of time developing simulation models from scratch. Sometimes I asked myself why no one has created a webshop […]
In today’s post I will provide another example that shows how numba can speed up a numerical simulation. I apply the module to a monte-carlo simulation of stock price random walks. This is a popular monte-carlo simulation example and I […]
An essential part of simulation modeling is simulation runtime. Large discrete-event simulation models and even medium-sized agent-based simulation models consume computational ressources and can have a very long runtime. This is especially true if the source code is fully written […]
In this article I implement a monte-carlo animation using gganimate in R. In one of my previous posts I introduced monte-carlo simulation. Monte-carlo simulation is one of the widely applied simulation techniques in supply chain management and operations management. I […]
Simulation is becoming increasingly popular for factory planning, process design, supply chain optimization and supply chain management. In this article I provide a basic overview and introduction of relevant simulation methods. It is important to point out that when choosing […]
In one of my posts I have introduced the concept of random walk forecasting, using Python for implementation. In this post I want to conduct a monte-carlo simulation in Python. More specifically, I will use monte-carlo simulation in Python to […]
In previous posts I introduced very simple (and naive) forecasting methods, namely CAGR-based forecasting and simple moving average forecasting. I implemented such forecasting methods in R and demonstrated basic use cases. In this post I want to introduce another simple […]
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