This article presents an optimization design of the Xbar&EWMA chart for monitoring a cold rolling process producing galvanized steel coils. Using real data from industry, the results show that the detection effectiveness of the Xbar&EWMA charts is better than the optimal chart and the optimal EWMA chart in terms of Expected Average Number of Observation required to identify an out-of-control case (EANOS) by about 36% and 10%, respectively. The optimization design of the Xbar&EWMA charts ensures that extra inspection resources will not be necessary, and the false alarm rate of the charts will not be increased.
Track: Quality Control and Quality Management
Published in: 10th Annual International Conference on Industrial Engineering and Operations Management, Dubai, United Arab Emirates
Publisher: IEOM Society International
Date of Conference: March 10
-12
, 2020
ISBN: 978-1-5323-5952-1
ISSN/E-ISSN: 2169-8767