The MIIS Eprints Archive

General Statistical Design of an Experimental Problem for Harmonics

Lamoureux, Michael (2004) General Statistical Design of an Experimental Problem for Harmonics. [Study Group Report]



Four years ago, the Michelin Tire Corporation proposed a problem on experimental design, to improve the manufacturing process for their tires. The idea is basically to determine the effects of placements for various layers built up in the construction of a tire, to allow the design of a smooth tire with a smooth ride. A highly success solution was developed, and it has been reported that this method introduced savings of over half a million dollars in their test processes. This year, Michelin returned to the workshop with an extension to the original problem, to address specific refinements in the testing method. This report summarizes the work completed in course of the five day workshop.

It was clear early in the workshop that this problem could be handled quickly by reviewing the analysis which was done in 2000, and extending those ideas to the new problems at hand. We reviewed the required Fourier techniques to describe the harmonic problem, and statistical techniques to deal with the linear model that described how to accurately measure quantities that come from real experimental measurements. The “prime method” and “good lattice points method” were reviewed and re-analysed so we could understand (and prove) why they work so well. We then looked at extending these methods and successfully found solutions to problem 1) and 2) posed by Michelin. Matlab code was written to test and verify the algorithms developed. We have some ideas on problems 3) and 4), which are also described.

Item Type:Study Group Report
Problem Sectors:Transport and Automotive
Study Groups:Canadian Industrial Problem Solving Workshops > IPSW 8 (Vancouver, Canada, May 17-21, 2004)
Company Name:Michelin Tire Michelin Tire Corporation
ID Code:180
Deposited By: Michele Taroni
Deposited On:13 Oct 2008
Last Modified:29 May 2015 19:48

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