Decision making with visualizations: A cognitive framework for quality management in construction

Abstract

In conditions with unstable economy and a constantly increasing competition in the construction market, one of competitive advantages and factors of organization's sustainable development is the existence of an effective QMS based on a risk-oriented approach for decision-making. Risk management is a process that is very important for construction industry enterprises and organizations. Each organization decides for itself how this process should be implemented. But in any case, an integral part of the process is the decision-making stage, which is most often representing a mechanism for managing corrective and preventive actions (CAPA). Analysis of various sources dedicated to the theory and practice of CAPA showed that several stages of the CAPA process cause difficulties for employees of quality management services of construction organizations. This article presents the author's approach to a collecting and analyzing data stage implementation on detected inconsistencies and their root causes and as well as an implementation for stage of a list of corrective actions creation. The author proposes the concept of cognitive management of nonconformities based on visualization of data on nonconformities and their causes. The main result of the presented study is the nonconformity management technique aimed at improving the efficiency of the quality management system as a factor in sustainable development and increasing the competitiveness of Russian construction organizations.