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Quantum XL Monte Carlo Features

Build a model of a measurement or a product, describe each input by a distribution rather than a single number, run the simulation, and read what the spread of the inputs does to the outputs.

The commands are on the QXL Monte Carlo ribbon tab, in three groups: Design for building and marking the model, Monte Carlo for running and analysing it, and Additional Tools for the worksheet tools that sit beside it.

Model Building

QXL Monte Carlo > Design. Marking the cells, then building or importing the design sheet.

• Model Building Overview - Every page in this group
• Mark Input - Give a cell a distribution so the simulation samples it
• Mark Output - Mark a cell as a result, so every trial's value is collected
• Correlations - Say which marked inputs move together, and by which copula family
• Unmark - Take the marking off a cell
• Custom Distributions - Build a distribution of your own shape and pick it when marking an input
• Create Empirical - Use a column of your own sample data as an input distribution
• Create Monte Carlo Design Sheet - Write the sheet that holds the model
• Modify Monte Carlo Design Sheet - Change a design sheet already written
• Import Model from Quantum XL DOE - Build the sheet from a DOE regression model
• Validate Model - Check whether the model runs in the fast engine, and if not, why
• Copy and Paste Markings - Move markings between cells, sheets and workbooks
• Supported Distributions - Every distribution a marked input may use
• Supported Excel Functions - Every Excel function the fast engine can parse

Analyzing the Model

QXL Monte Carlo > Monte Carlo. Running the simulation and reading the result.

• Analyzing the Model Overview - Every page in this group
• Run Model - Run the simulation, at a chosen count, in either engine
• Optimize - Search for the input settings that give the best result
• Percent Contribution - How much of each output's spread comes from each input
• Latitude Plot - Chart where each pair of inputs keeps the outputs in specification
• Surface and Contour Plot - Plot an output over two inputs swept across their range
• Tolerance Allocation - Sweep each input's spread and report what it does to the outputs

Additional Tools

QXL Monte Carlo > Additional Tools, and the worksheet tools that go with them.

• Additional Tools Overview - Every page in this group
• Sampling Matrices - Write a worksheet of sampled factor settings, one column per factor and one row per run
• Scorecard - Create a scorecard, and chart the one you have
• Linear Tolerancing - The three linear tolerance stack-up worksheet templates

Latitude Plots, the tutorial

• Latitude Plots Tutorial: a worked example, from a two-part tolerance stack to a plot you can read, with the arithmetic to check the simulation against. Separate from the Latitude Plot tool page above, which covers every control.