Taguchi Risk and Process Capability

• Published in: Risks
• Main Authors: Alexandru Isaic-Maniu, Irina-Maria Dragan, Ana-Maria Grigore, Florentina Constantin
• Format: Article
• Language: English
• Published: MDPI AG 2023-10-01
• Subjects: taguchi risk; process capability; tolerance field; potential index; statistical uncertainty; statistical process control
• Online Access: https://www.mdpi.com/2227-9091/11/10/178

Process control methods, in general, and quality, in particular, most often refer to the measures taken especially to the finished product, as well as to the technological process, in order to maintain its performance within certain statistical parameters. Genichi Taguchi is the first who developed a quality control approach, used first in Japan and later in industrialized economies, a procedure widespread in quality under the name Taguchi method. Within the Taguchi method, he imposed a key term average loss attached to a process /characteristic in case it deviates, compared to a target value/objective, considered optimal. The Taguchi methodology is especially oriented towards the design phase, different from the classic approach oriented towards the final control phase upon delivery, or towards the supervision of the processes. This new approach aims to design processes and products so that they are as insensitive as possible (robust) to the influence of external, disruptive factors of the processes. In our paper, the capability indicators of the processes and their connection with the Taguchi risk are also presented. A link is also made between the statistical measurement of uncertainty and the Taguchi risk with an example in a process from the mechanical industry.