Taguchi Risk and Process Capability

Author:

Isaic-Maniu Alexandru1,Dragan Irina-Maria2ORCID,Grigore Ana-Maria3,Constantin Florentina4

Affiliation:

1. Centre of Industry and Services Economy, National Institute of Economic Research, The Romanian Academy, 050711 Bucharest, Romania

2. Faculty of Cybernetics, Statistics and Informatics, Bucharest University of Economic Studies, 010374 București, Romania

3. Faculty of Public Administration and Business, University of Bucharest, 030018 București, Romania

4. The Department of Agrifood and Environmental Economics, Bucharest University of Economic Studies, 010374 Bucharest, Romania

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.

Publisher

MDPI AG

Subject

Strategy and Management,Economics, Econometrics and Finance (miscellaneous),Accounting

Reference46 articles.

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2. Alexis, Jacques (1998). Metoda Taguchi în Practica Industriala. Planuri de Experienţe, Editura Tehnică.

3. Coherent Measures of Risk;Artzner;Mathematical Finance,1999

4. Bârsan-Pipu, Nicolae, and Popescu, Ion (2003). Managementul Riscului, Ed. Univ. Transilvania.

5. Ben-Gal, Irad, and Dror, Shuki (2016). Taguchi Method for Off-Line Quality Control. Wiley StatsRef: Statistics Reference Online.

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