Discrete-event simulation offers numerous benefits for haul truck simulations. It provides a realistic representation of real-world scenarios, incorporating factors like traffic, loading/unloading, and route variability. This flexibility allows for the testing of different scenarios, leading to optimized trucking operations and cost reduction through improved resource allocation and scheduling. Moreover, it helps in risk mitigation by […]
In this article I will share a discrete-event simulation animation example in Python. More specifically a truck haul transport simulation animation for a mine, using SimPy and DesViz in Python. This example, and the DesViz module, was developed by Prof. Paul Corry and his team and I am resharing his example in this post. Using […]
This article aims to elucidate the distinctions between emulation and simulation, two essential concepts in the fields of computer science, engineering, and various other domains. Emulation and simulation are often used interchangeably, but they represent distinct approaches to replicating real-world systems and processes. In today’s blog post I will define, compare, and contrast simulation and […]
In this article, I expand on previous articles that I have written, explaining applications of analytics and simulation in steel making and iron ore blending. I highlight current challenges in mining industry and point out common applications of simulation in mining industry. In above video Jaco-Ben Vosloo (LinkedIn profile here) gives an exemplary demo of […]
In my previous contributions I described the steel and iron value chain (see: Analytics in the steel production value chain), and how iron ore mining faces the blending problem (see: Solving the iron ore blending problem). In this article I give a more general introduction to the blending problem in mining industry. I furthermore point […]