The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
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Activity Number:
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69
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Type:
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Topic Contributed
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Date/Time:
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Sunday, July 31, 2011 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Quality and Productivity
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| Abstract - #300750 |
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Title:
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Q&P Student Competition Winning Results: An Application of Statistical Engineering Using Watfactory for Quality Improvement
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Author(s):
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Stefan Steiner*+ and Long Luo*+ and Yalan Hu*+ and He Yang*+
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Companies:
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Mississippi State University and Southern Methodist University and University of Waterloo
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Address:
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, Waterloo, ON, N2L 3G1, Canada , , , , , , , , ,
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Keywords:
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six sigma ;
statistical engineering ;
variation reduction ;
training
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Abstract:
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Watfactory is a rich and realistic simulation of a manufacturing process that challenges users to reduce output variation with the limitation of a tight budget. In this session, we provide some background on Watfactory and its use in teaching process improvement methods and concepts like those in Statistical Engineering and Six Sigma. We also present the results of a contest run early in 2011 by the Quality and Productivity section of the American Statistical Association. The contest, open to student teams worldwide, challenged the teams to learn enough about Watfactory to reduce variation in the final output. The winning team will present a summary of its process improvement journey.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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