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DOE++ Design of Experiments Software
 Design of Experiments Software

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Case Study Examples

ReliaSoft's DOE++ software facilitates traditional Design of Experiments (DOE) techniques for studying the factors that may affect a product or process in order to identify significant factors and optimize designs. The software also expands upon standard methods with the introduction of Reliability DOE folios, which offer a major breakthrough for reliability-related analyses by providing the proper analysis treatment for interval and right censored data!

We have compiled some case studies to demonstrate the types of analyses that you will be able to perform with ReliaSoft's DOE++. The files for these examples are located in the "Examples" folder in your application directory (e.g. C:\Program Files\ReliaSoft\DOE\Examples). The Examples folder can be accessed by selecting Open Examples Folder from the Help menu. In addition, a link is provided on each example page for you to download the relevant example file. 

Case Study 1: One Factor Design
Description
Four shift operators at a pulp mill each make five pulp handsheets from unbleached pulp. Reflectance is read for each of the handsheets using a brightness tester. The goal of the experiment is to determine whether there are differences between the operators in making the handsheets and reading their brightness.

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Case Study 2: Two Level Full Factorial Design
Description
Four factors may affect the growth of an epitaxial layer on polished silicon wafers. The current factor settings caused variations that exceeded the specification. The experimenters first need to determine which of the factors significantly affect the process. Further experiments will then be conducted to optimize the process.

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Case Study 3: Two Level Fractional Factorial Design
Description
A manufacturing process for an integrated circuit is examined. Five factors may affect the process. The objective is to improve the process yield in fewer runs than a full factorial design would require.

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Case Study 4: Plackett-Burman Design
Description
A life test is performed on weld-repaired castings. There are seven factors that may affect the life. The objective of the test is to identify the important factors that affect the life and to improve the product life.

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Case Study 5: General Full Factorial Design
Description
A soft drink bottler is interested in obtaining more uniform fill heights in the bottles. The filling machine theoretically fills each bottle to the correct target height, but in practice, there is variation around this target, and the bottler would like to understand better the sources of this variability and eventually reduce it. The bottler examines three factors that may affect the fill heights.

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Case Study 6: Taguchi Orthogonal Array Design
Description
An experiment studies the effect of four three-level factors on a fine gold wire bonding process in an IC chip-package. Taguchi OA L27 (3^13) is applied to identify the critical parameters in the wire bonding process.

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Case Study 7: Central Composite Design
Description
A chemical engineer is interested in determining the operating conditions that maximize the yield of a process. Two controllable variables influence process yield: reaction time and reaction temperature.

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Case Study 8: Box-Behnken Design
Description
A UV-light system is used to inactivate fungal spores of Aspergillus niger in corn meal. Three process parameters in the UV-light system will affect the inactivation results. The goal is to determine the optimal settings of the factors that will give the largest reduction of fungal spores.

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Case Study 9: Taguchi Robust Design
Description
An experiment seeks to determine a method to assemble an elastomeric connector to a nylon tube while delivering the requisite pull-off performance suitable for an automotive engineering application. The primary design objective is to maximize the pull-off force, while secondary considerations are to minimize assembly effort and reduce the cost of the connector and assembly.

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Case Study 10: One Factor Reliability Design
Description
There are three different materials that can be used in a product. The engineer wants to know if there is a difference between these three choices and, if there is a difference, which material is the best choice in terms of the product life.

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Case Study 11: Two Level Fractional Factorial Reliability Design
Description
An experiment studies the reliability of fluorescent lights. Five two-level factors may affect the product life. The purpose is to find the best factor settings to improve the life time. 

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