The thermal environment is one of the main factors that influence thermal comfort and, consequently, the productivity of occupants inside buildings. Throughout the years, research has described the connection between thermal comfort and productivity. Mathematical models have been established in the attempt to predict changes in productivity according to thermal variations in the environment. Some of these models have failed for a number of reasons, including the understanding of the effect that several environment variables have had on performance. From this context, a systematic literature review was carried out with the aim of verifying the connection between thermal comfort and productivity and the combinations of different thermal and personal factors that can have an effect on productivity. A hundred and twenty-eight articles were found which show a connection between productivity and some thermal comfort variables. By means of specific inclusion and exclusion criteria, 60 articles were selected for a final analysis. The main conclusions found in this study were: (i) the vast majority of research uses subjective measures and/or a combination of methods to evaluate productivity; (ii) performance/productivity can be attained within an ampler temperature range; (iii) few studies present ways of calculating productivity.
Purpose
Quality has undergone several transformations over the past decades. From the inspection to total quality management (TQM), some tools have been created to improve the performance of industrial processes and services, such as control charts and Pareto’s diagram. Now, the fourth industrial revolution (4th IR), Industry 4.0, has become part of the routine of organizations and people. The purpose of this paper is to verify how traditional quality concepts are being adapted within organizations.
Design/methodology/approach
As the term “Quality 4.0” is still recent, this research aimed to conduct a literature review on the topic by using the systematic literature review method called Bibliometrix. Through the combination of keywords, 116 papers were found. After eliminating the repeated papers, an analysis was made with the remaining 104 papers, presenting the sources of publication, period of publication, countries, among other characteristics. Finally, a more detailed analysis of the 10 most recent papers published in journals was performed.
Findings
The main results of this research are: publications on the topic have increased significantly from 2013, mainly in journals and conference papers; the most important elements connected with Quality 4.0 are Quality Management and Industry 4.0; there is not yet a universal definition for Quality 4.0; however, it seems that digital tools can be used to improve the performance of processes; one can expect a natural evolution from TQM to Quality 4.0, not replacing the traditional quality methods; activities inside organizations will be faster and smarter, due to the use of Big Data and Artificial Intelligence (AI), combined with traditional quality methods.
Originality/value
Identifying new approaches and gaps for quality research may improve the development of new concepts and tools.
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