In many real-world applications, the quality of a process or a particular product can be characterized by a functional relationship called profile. A profile builds the relationships between a response quality characteristic and one or more explanatory variables. Monitoring the quality of a profile is implemented to understand and to verify the stability of this functional relationship over time. In some real applications, a fuzzy linear regression model can represent the profile adequately where the response quality characteristic is fuzzy. The purpose of this paper is to develop an approach for monitoring process/product profiles in fuzzy environment. A model in fuzzy linear regression is developed to construct the quality profiles by using linear programming and then fuzzy individuals and moving-range (I-MR) control charts are developed to monitor both intercept and slope of fuzzy profiles to achieve an in-control process. A case study in customer satisfaction is presented to show the application of our approach and to express the sensitivity analysis of parameters for building a fuzzy profile.
Advanced manufacturing systems need to be developed for an enterprise to survive in the increasingly competitive global market. Statistical e-based quality control approach combines statistical quality analysis and reporting capabilities with web technology to deliver process optimization solutions. In this paper we develop a structured profile for statistical e-based quality control to provide the capacity to access required data anywhere. It helps enterprises to develop customized quality information systems, create and distribute reports via the internet, and provide real-time display of quality profiles for process monitoring. Quality engineers and managers have been dependent on information system (IS) departments to secure access to such data. Statistical e-based quality profile is designed to bridge the gap between the raw data and genuine quality improvement efforts by providing a powerful web-based solution for real-time quality process.
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