Trellisys has helped Canada 's most prestigious organizations solve complex problems using Arena simulations. Among them: Alcan, Air Canada, Bell Canada, Bombardier, Calgary Health Region, Government of Canada, Hatch & Associates, Hydro-Quebec, ICAO, Imperial Oil, National Defence, Noranda, Nortel, SNC-Lavalin and the Montreal, Toronto and Vancouver Airport Authorities.
We would like to do the same for you.
If you have any questions, or if you would like to discuss a particular application, do not hesitate to contact us.
TRELLISYS TECHNOLOGIES INC.
755 St. Jean Blvd., Suite 400
Pointe-Claire, QC H9R 5M9
Tel.: 514-695-9500,
ext. 400
Fax: 514-695-0393
Because a 10% change in arrival rates and process times can lead to as much as a 50% increase in waiting time, decreasing throughput, increasing cost, and decreasing fulfillment rates, more and more globally leading organizations are realizing the importance of capturing variability.
Often in manufacturing, customers arrive at random. Process or service times vary based on the shift, workforce, location, and time of day. Forecasts are never correct. Shipments arrive sooner or later.
The sheer number of interactions in most systems requires a process flow model to accurately define and quantify system performance.
Add to that the complexity of changing workload, orders, or shift and the problem becomes one that cannot be analyzed with static inputs.
Simulation analyses define variability, providing a true and accurate measure of system performance.
WHY USE SIMULATION ?
Whether your decisions impact
manufacturing, supply chain,
or customer service operations,
Trellisys can show
you how to avoid risky investments,
reduce variability, slash costs,
identify bottlenecks, and boost
your bottom line.
Through a combination of process
simulation and optimization
technologies, simulation helps
demonstrate, predict, and measure
system performance—under varying
conditions and decision criteria
before implementation on “live” operations or customers:
Draw inferences about new systems
without building them
Make changes to existing systems
without disturbing them
Easily visualize the new or
existing system
Understand how various components
interact with one another
and how they affect overall system
performance
Provide an insurance policy for
expected system performance
Avoid costly mistakes by making
decisions based on gut feel or
static modeling
Expose the true effect of randomness
and variability
Reveal value and eliminate wasteful
bottlenecks in existing
processes
