Resources

News and updates

Worked examples and the latest from the team, from reducing waiting time to finding the bottleneck on a busy line.

A dairy intake model with tankers, silos, balance tank and named transfer linesNews and updates

Fluid and bulk modeling comes to ProcessModel

Some plants do not count what they make, they measure it. ProcessModel now models the half of industry that runs on levels and flow rates: tanks, pipes, fillers and a mass balance that adds up.

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PM Optimizer results ranking every configuration with confidence rangesNews and updates

From guessing to a guided search with PM Optimizer

A scenario answers one what-if. PM Optimizer answers the bigger question: out of everything you could change, what is the best you can do? It defines the experiment, searches for the winner, and ranks what it found with the confidence to back it.

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Choosing the right simulation consultant for a process improvement projectNews and updates

How to select a simulation consultant

Tight budgets push many companies to hire a simulation consultant for critical projects instead of building expertise in-house. Here are practical guidelines for picking the right one.

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The industry palette docked on the right of the ProcessModel canvasNews and updates

One app, built for your industry

Turn on an industry palette and ProcessModel puts your industry's elements in front of you, already sized and named for the job. Turn on the Software lens and the whole model starts speaking a delivery team's language, without changing a single calculation.

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The PM AI Bridge card in Settings with its switch on and the line Claude Desktop is connected.News and updates

Your own AI app, working in your model

PM AI Bridge lets the AI app already on your computer read, change and run your models, while you keep the controls: Take control, a read only canvas, one Undo and an activity log.

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ProcessModel version 6.2 release artwork: the blue ProcessModel logo beside the number 6.2, over a light network pattern and a glowing microchipNews and updates

ProcessModel release history

The running history of ProcessModel releases, newest first. Each entry lists what that version added, from reporting and analysis to everyday modeling tools.

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An alternate modeling approach that uses real production data to drive a ProcessModel simulationNews and updates

Reduce modeling time by 80%

A United States window manufacturer built a mixed-model manufacturing simulation in under four hours by letting real production data drive the model. Here is the technique that cut their modeling time by 80%.

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Choosing when to use process simulation on a process improvement projectNews and updates

Simulation in process improvement projects

Consultants use many tools for process improvement, but few know exactly when simulation earns its keep. After forty years of projects, here is the litmus test for choosing the right tool.

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A process model of a software testing operation built for optimization in ProcessModelNews and updates

Software testing optimization

Balancing the resources on a software testing line is a multi-dimensional problem you can only guess at without simulation. This worked example shows how to model it and optimize it for cost and time.

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ProcessModel process simulation software adopted by the UCLA Anderson MBA programNews and updates

UCLA chooses ProcessModel process simulation software for MBA program

The UCLA Anderson MBA program has adopted ProcessModel as a core part of its curriculum, citing the software's powerful process analysis and its exceptionally short learning curve.

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The ProcessModel canvas while an AI app changes a model: a blue edge around the canvas, a label reading Read only while your AI is working, a Take control button in the title bar, and a new shape tagged Just added.News and updates

What's new in ProcessModel 7

ProcessModel 7 is a ground-up release. Your own AI app can read, change and run your models through PM AI Bridge, an Emergency Department palette models the whole department, and 40 ready-to-run models give you a head start.

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See your process clearly, then prove the fix

Build the model, run the simulation, find the constraint, and show the improvement before you change a thing.