Fuzzy quality feature monitoring model

Abstract

In this paper we study the modern techniques and also present a fuzzy quality monitoring model that can be used at various stages in a production operation (the raw material input stage, between production stages). The product quality may be of several types (i.e. sensory, physical, time orientation) that sometimes may not be sensed, measured, or calculated precisely due to uncertain situations. Therefore, the γ -level fuzzy Bayesian model for quality monitoring of a manufacturing process is proposed. In order to apply the Bayesian concept, the fuzzy quality characteristics are assumed as fuzzy random variables. Using the fuzzy quality characteristics, the newly developed model calculates the risk of operation for the manufacturing process, which results in determining the out-of-control process. A numerical example is also presented to demonstrate the application of the model.

Keywords:

• reliability engineering
• risk management
• quality assurance
• performance measures
• manufacturing systems
• Markov modelling
• maintenance engineering
• facility design
• evolutionary algorithms
• environment

Acknowledgement

The authors would like to express their appreciation to the anonymous referees for their constructive comments that enhanced the quality of the paper.