Applying A Hidden Markov Chain Model in Quality Function Deployment to Analyze Dynamic Customer Requirements

ASIAIR > College of Computer Science > Department of Applied Informatics and Multimedia > Journal Article > Item 310904400/8976

Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/8976

Title:	Applying A Hidden Markov Chain Model in Quality Function Deployment to Analyze Dynamic Customer Requirements
Authors:	Jiunn-I Shieh;Hsin-Hung Wu
Keywords:	Hidden Markov chain model;Quality function deployment;Customer requirement;Technical measure
Date:	2009-07
Issue Date:	2010-04-21 02:55:18 (UTC+0)
Abstract:	This study applies a hidden Markov chain model in quality function deployment to analyze dynamic customer requirements from probabilities viewpoints. In reality, the needed probabilities can be computed based upon the experts’ opinions for economic conditions as well as the customers’ surveys by asking customers’ preferences under different economic conditions. Each customer requirement can be analyzed as time goes by. In addition, the changes for each technical measure can be closely examined from time to time. More importantly, when new customers’ surveys are conducted and available as well as the new economic conditions analyzed by experts have been updated, both customer requirements and technical measures can be adjusted in a timely basis to reflect and fulfill the dynamic customer requirements. As a result, this proposed approach provides a decision maker to analyze and satisfy both past and present customer needs early on such that a better strategy can be made based upon the most updated customers’ surveys and economic conditions.
Relation:	Quality & Quantity 43(4):635-644
Appears in Collections:	[Department of Applied Informatics and Multimedia] Journal Article

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