From a single day project to a full outsourcing of your Arena Simulation activities, Trellisys can help you to:
- Define, Refine, Model, Justify, Visualize and Sell your process improvement projects
- Quantify the real impact of your proposed improvements by capturing variability
- Reduce the risk associated with capital investment decisions
- Design and Deploy systems which perform better, cost less and are on time
Why is capturing variability important?
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 analysis define variability, providing a true and accurate measure of system performance.
Why use Arena 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
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Validate investment allocations
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