Taguchi Risk and Process Capability

Alexandru Isaic-Maniu, Irina-Maria Dragan, Ana-Maria Grigore () and Florentina Constantin
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Alexandru Isaic-Maniu: Centre of Industry and Services Economy, National Institute of Economic Research, The Romanian Academy, 050711 Bucharest, Romania
Irina-Maria Dragan: Faculty of Cybernetics, Statistics and Informatics, Bucharest University of Economic Studies, 010374 București, Romania
Ana-Maria Grigore: Faculty of Public Administration and Business, University of Bucharest, 030018 București, Romania
Florentina Constantin: The Department of Agrifood and Environmental Economics, Bucharest University of Economic Studies, 010374 Bucharest, Romania

Risks, 2023, vol. 11, issue 10, 1-12

Abstract: 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.

Keywords: taguchi risk; process capability; tolerance field; potential index; statistical uncertainty; statistical process control (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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