Discrete Event Simulation
Modelling for better operations scheduling and throughput optimization
Do you need simulation?
How to determine the effective or maximal throughput, identify the bottlenecks or in which situations the bottleneck moves, establish the best schedule or evaluate if there are enough resources?
Will it be possible to deliver on time, is it possible to reduce costs, what is the most desirable expansion scenario?
These are typical questions expressing an underlying need to model operations using simulation.
The power of Discrete Events Simulation (DES):
a global view for fact-based decision-making
DES allows to understand and model operations for which time, variability, movement and resource availability are critical elements. Discovering underlying interactions and key drivers provides intelligence on the whole process.
A globally recognized expertise
Our consultants have extensive experience in developing complex models for many applications. In addition to having developed unique specialized libraries for bulk materials simulation, traffic and maintainability, they have published scientific peer-reviewed articles and participated in several international conferences.
Our modeling approach is practical. We make decision-making tools accessible and democratic, easing the configuration of scenarios and the interpretation of results.
A powerful, capable, and easy-to-use 3D simulation software. FlexSim lets you model – and improve – existing and proposed systems.
Model a real system in a native 3D virtual environment.
Account for real-world variability with FlexSim’s vast array of statistical distributions and random numbers.
Run simulation using the model to test “what if” scenarios—without needing to change things in the real world.
Learn more: www.simulking.com/flexsim
Support on simulation software
Différence offers support to users of the following simulation software:
See What Our Clients Have To Say
I had the opportunity to work with Vincent to optimize our production planning and scheduling process using simulation. The simulation helped us to discover and address bottlenecks, hence targeting the adequate capital investments. The power of the simulation tool allowed us to easily perform what-if scenarios. We were able to study the capacity of our production assets with respect to the various products and packaging formats to handle.
As part of a peer review team doing a review of the mining project, I’ve come across your report and I’m impressed which typically isn’t the case with simulation results as I’ve seen some fairly average work and some very good work.