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政大機構典藏 > 商學院 > 統計學系 > 期刊論文 > Item 140.119/112130

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/112130

Title:	Economic statistical process control for over-adjusted process mean
Authors:	楊素芬 Yang, Su‐Fen Yang, Chung‐Ming
Contributors:	統計系
Keywords:	Control charts;Markov processes;Statistical process control
Date:	2004
Issue Date:	2017-08-23 16:42:53 (UTC+8)
Abstract:	An economic adjustment model of a process whose quality can be affected by multiple special causes, resulting in changes of the process mean by incorrect adjustment of the process when it is operating according to its capability. A statistically constrained adjustment model is developed for the economic statistical design of X- control chart to control the process mean affected by multiple special causes. The objective is to determine the design parameters of the X- control chart, which minimize the total quality control cost. A Markov chain approach is used to derive the model. It is demonstrated that the expressions for the expected cycle time and the expected cycle cost with multiple special causes are easier to obtain by the proposed approach than by extending or adopting that in Collani et al. Application of the model is demonstrated through a numerical example.
Relation:	International Journal of Quality and Reliability Management, Volume 21, Issue 4, Pages 412-424
Data Type:	article
DOI 連結:	https://doi.org/10.1108/02656710410530109
DOI:	10.1108/02656710410530109
Appears in Collections:	[統計學系] 期刊論文

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