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Erschienen in:
01.08.2014 | Original Article
On ranking multiple touch-screen panel suppliers through the CTQ: applied fuzzy techniques for inspection with unavoidable measurement errors
Erschienen in: Neural Computing and Applications | Ausgabe 2/2014
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Abstract
The touch-screen panel (TSP) market has significantly brought up a great deal of business opportunities; in fact, it shows continuous growth in revenue, units, and area. Therefore, the high growth rate of the TSP market forces all the manufactures in the TSP supply chain to face a very competitive environment. The main purpose of this study is to provide a practical procedure for the manufacturers of the TSP terminal application products to rank their TSP suppliers. Via the critical-to-quality (CTQ) tree, CTQ is defined, and the index \( C_{pm} \) is utilized to measure the CTQ. Since measurement errors are often unavoidable in the inspection phase, fuzzy theory is integrated into the \( C_{pm} \) estimations. By the concept of fuzzy preference relation, a step-by-step procedure is provided for solving the TSP supplier selection problem. This study gives practicability for the real-life applications.