File Exchange > DataAnalysis >    Design of Experiments

Author:
OriginLab Technical Support
Date Added:
5/17/2018
Downloads (90 Days):
117
Last Update:
10/26/2018
Total Ratings:
0
File Size:
3376 KB
Average Rating:
File Name:
DOE.opx
File Version:
1
Minimum Versions:
2019 (9.6)
License:
Free
Summary:

Design an experiment, fit a model to experimental data, and find best factor settings that optimize responses.

Screen Shot and Video:
Description:

Purpose

This app helps you determine the relationship between factors affecting a process and the output of that process.

You can use it to design an experiment, analyze experimental data and optimize output.

Features

  • Various types of designed experiments to help you create a design.
  • Customization of design table by replication, randomization, blocking, etc.
  • Fit of mathematical model to data from test runs.
  • Diagnostic statistics and graphs to help you interpret the results.
  • Optimization of response after defining factor constraints.

Installation

  1. The app requires R software. Install R or upgrade it before installing the App (Minimum required version 3.4.1).
  2. Download the file DOE.opx, and drag-and-drop the file onto Origin workspace to install the App.
  3. The App will start downloading dependent R packages automatically. Wait a few minutes until the download is completed.

Note: If auto download fails, a pop-up dialog will ask you to copy 2 lines of commands from Results Log and run them in R to complete package download. 
          If you reinstall or upgrade R after installing the app, it would not work properly. Please reinstall the app.

Operation

Click the app icon to open the dialog with 4 buttons. Click one of them to open a dialog. 

  • Power and Sample Size

    Determine sample sizes before creating a design. Calculate power for a given sample size or sample sizes for given power values.

  • Create Design

    Indentify factors and levels for each factor. Use techniques of the design to create a design table that makes the experiment cost-effective. Conduct a series of experiments and collect response data for each run in the table. The following types of design are supported.

    • Factorial Design
      • 2-Level Factorial
      • Plackett-Burman
      • General Full Factorial
    • Response Surface Design
      • Central Composite
      • Box-Behnken
  • Analyze Design

    Fit a model to data collected using the design. Evaluate which factors have a significant impact on the response. You can interpret the relationship between factors and response through a variety of analytical tools and graph tools.

  • Optimize Response

    Determine what levels of factors should be to achieve a desired response. You can choose goals like minimize, maximize and target to optimize. Put constraints on factor levels before optimization.

Help File

This app provides a help file that introduces design of experiments and explains dialog settings. Click ? button in dialog or press F1 to open it.

Sample OPJU File

This app provides a sample OPJU file and a data file. Right click on the app icon in the Apps Gallery window, and choose Show Samples Folder from the short-cut menu. A folder will open. Drag-and-drop the project file DOE Sample.opju from the folder onto Origin. The Notes window in the project shows detailed steps.
Note: If you wish to save the OPJU after changing, it is recommended that you save to a different folder location (e.g. User Files Folder).

Updates:

Reviews and Comments:

Be the first to review this File Exchange submission.