INTELLIGENT ATTRIBUTE CONTROL CHART SYSTEM ESTABLISHING FUZZY IMAGE PROCESSING TECHNIQUE

Abstract

Currently, quality of product is an important business strategy in competitive global market. Moreover, improving tools for monitoring operation process has become inevitable.   To reduce human error effect in inspection process, the objective of this study is to integrate image processing approach and fuzzy set technique for classifying quality of product and create attribute control chart. Image processing system was employed to assess quality of product through verifying size, shape, and position. Subsequently, the fuzzy set system was used to reduce ambiguous problems and identify abnormal conditions in the production process, then create an attribute control chart using MATLAB function. The results represented that the proposed system was an accurate approach to verify quality of product. Furthermore, the system was an effective tool to construct attribute control chart to monitor process stability and improve production process effectiveness.