Framework for the generic process of diagnosis in quality problem solving

Abstract

This study looks at the problem of determining root causes, presenting an artefact (Causal Determinant) composed of procedures and coded algorithms in software for the purpose of identifying the potentially most relevant cause for a given effect. The design science research approach was used to develop, test and prove the utility of the Causal Determinant artefact. A total of 95 cases were studied at 32 small, medium-sized and large companies. An analysis of the perception of these users showed the easy operation and the effectiveness of the Causal Determinant artefact for selecting a root cause easily and coherently within a set of probable causes of the effect in question. The difficulty in finding the root cause of a problem is one of the most important aspects in the field of total quality management (TQM). A technique that can determine root cause with logical security and at low cost is surely welcome. This paper contributes with a conceptual framework for the generic process of diagnosis in quality problem solving. Large, medium-sized and small industries can apply the proposed method as a system of TQM to determine the root cause of a problem. The output of the method also provides a ratio of importance for each causal factor. This article presents a possible and practical solution for situations faced by organisations in the field of TQM.

Design Science Research in practice: review of applications in Industrial Engineering

“…Concerning software, Sanches et al (2015) demonstrate the practical benefits of using the artifact proposed by the research. The research contributions were perceived and identified by the users, who highlighted the practical nature of the method and the ability to identify the root cause of a given problem by the software (based on the prioritization matrix) as a logical and consistent result for predictive purposes.…”

“…Relating to the problem class "modeling and process improvement," he classified the articles by Sanches et al (2015); Anke (2019); Saraswat et al (2014). Sanches et al (2015) analyze a problem to determine the root causes, presenting an artifact composed of procedures and algorithms (coded in software), aiming to identify the potentially most important cause for a given effect. Already, in Anke's research (2018), he proposes a method for the integrated financial evaluation of intelligent design services.…”

“…These artifacts were identified according to the complete reading of the text. In the research by Sanches et al (2015), the authors present a framework as an artifact for developing a meta-model. It aims to determine the root cause of a particular effect ("relevant problem"), with a rigorous assessment of the usefulness of the artifact ("design assessment"), assisting in model preparation and system dynamics.…”

“…Regarding the supplier, Hao et al (2015) contribute to the practice and research of hospitality in the tourism industries, proposing an approach for psychometric reasons. Similarly, Sanches et al (2015) contribute an artifact to identifying cause and effect relationships for a given problem and can be used for predictive purposes.…”

Proposal of Artifact to Measure Degree of Boldness in Business Social Actors

“…To Sanches et al (2015), the "Emach expresses the meaning and power of the factor in the cause and effect (C-E) relationship" (p. 8). The Emach calculation enables information regarding the "degree of causality": causal factors are negative and effect factors are positive.…”