Free Masterclass
Join me and learn how to become a go-to expert in Simulation with Python in this 30 minute masterclass.
In this masterclass, you’ll discover:
What is wrong with the state of play with discrete-event simulation software.
Why simulation in Python with SimPy is such a good alternative and how to build these simulations.
The. benefits and career opportunities of learning these skills
The essential step-by-step framework you need if you want to confidently tackle complex projects or product development.
"Harry consistently impressed me with his mastery of both the technical side of simulation modeling and coding as well as the nuanced aspects of simulation project management."
Rory Greig
Research Engineer, Google DeepMind
“If you’re considering learning simulation from Harry, you couldn’t be in better hands.”
Chris Samiullah
Technical Programme Manager, Pydantic
"If you wish to master every aspect of applying simulation to improve business decisions, then Harry is an expert guide."
Dr Peter Malkin
Principal Operations Researcher, CloudNC
“You can trust that Harry’s practical insights and dedication will set you on a path to mastering simulation and applying it with confidence.”
Dr Alastair Heggie
Senior Modelling and Simulation Engineer
Hey, I'm Harry
I help ambitious technical professionals achieve mastery in simulation with Python and elevate their careers without wasting time on confusing tools or expensive software.
Inside this masterclass, I’ll reveal the secrets of my step-by-step framework that allows my students and I to build powerful simulations and tackle complex projects with confidence in just weeks.
So you can get recognised as a go-to expert and unlock exciting career opportunities too!
Wondering how you can use discrete-event simulation with SimPy in your industry?
Here's some example use cases for different industries.
Aerospace
From modelling assembly lines for aircraft to simulating flight operations, SimPy supports optimising resource use, minimising downtime, and ensuring the precision required in aerospace engineering.
Chemical Engineering
Use SimPy to simulate chemical processes, from batch reactions to continuous operations, helping to identify bottlenecks, optimise process flows, and reduce operational costs. Gain insights into reaction kinetics, heat transfer, and equipment performance - all in a virtual environment.
Defence
Model military operations, logistics, and system performance using SimPy. From battlefield simulations to equipment maintenance scheduling, it provides a robust framework for evaluating defence scenarios.
Heating, Ventilation and Air Conditioning (HVAC) Systems
SimPy allows you to model heating, ventilation, and air conditioning systems to simulate energy consumption, airflow dynamics, and responsiveness under different environmental and usage scenarios. This enables optimised system designs, improved energy efficiency, and predictive maintenance planning.
Industrial Engineering
Industrial engineers can use SimPy to simulate workflows, resource planning, and system optimisation. Test designs and improve efficiency in factory settings, utilities, and beyond.
Logistics
Simulate delivery routes, warehouse operations, and distribution networks to improve efficiency and reduce costs. SimPy enables dynamic testing of various logistics scenarios without real-world risks.
Manufacturing
SimPy can simulate production lines, resource allocation, and workflow optimisation, helping manufacturers identify bottlenecks, improve throughput, and reduce waste. It’s ideal for lean manufacturing and just-in-time strategies.
Mining
Model mining operations, including equipment scheduling, material transport, and resource allocation, to improve efficiency and reduce downtime. SimPy helps simulate the complexities of underground and surface mining to optimise processes and maximise production.
Oil and Gas
SimPy enables engineers to simulate drilling operations, pipeline logistics, and refinery processes. Optimise resource allocation, reduce downtime, and test safety protocols in a risk-free virtual environment.
Catastrophe Modelling
SimPy can be used for catastrophe modelling by simulating the dynamic processes involved in catastrophic events, such as the occurrence, progression, and impact of disasters on insured properties. It allows insurers to model event timelines, claim handling, resource allocation, and portfolio risk aggregation, providing a flexible and detailed framework for analysing financial and operational outcomes.
Quality Engineering
Simulate quality control processes, including inspection routines and defect tracking. With SimPy, you can identify weaknesses in quality assurance processes and optimise resource allocation for inspections.
Railway Engineering
Use SimPy to model rail network operations, including scheduling, capacity management, and maintenance planning. Simulate train movements, station dynamics, and passenger flow to optimise performance and reduce delays.
RAM Engineering
Reliability, Availability, and Maintainability (RAM) engineering benefits from SimPy’s ability to simulate equipment life cycles, failure rates, and maintenance schedules. This enables predictive maintenance and enhanced system dependability.
Space Engineering
Simulate mission-critical operations such as satellite deployment, spacecraft resource management, and orbital logistics. SimPy allows for precise modelling of time-sensitive activities and resource constraints in the harsh environment of space.
Supply Chain
Model end-to-end supply chain operations, including inventory management, transportation, and logistics. SimPy helps identify cost-saving opportunities and improves supply chain resilience against disruptions.
Systems Engineering
SimPy provides systems engineers with the ability to model and test complex systems, identifying interactions and dependencies between subsystems. It’s an invaluable tool for improving performance, reliability, and integration in multidisciplinary projects.
“Harry brings exceptional expertise to both the strategic and practical aspects of modelling, simulation, and digital twin technologies.”
- Andrew Donachie
Managing Director Sans Souci
