| Full text | |
| Author(s): |
Fabiane Letícia Lizarelli
[1]
;
Nayara Cristini Bessi
[2]
;
Pedro Carlos Oprime
[3]
;
Roniberto Morato do Amaral
[4]
;
Subhabrata Chakraborti
[5]
Total Authors: 5
|
| Affiliation: | [1] Universidade Federal de São Carlos. Departamento de Engenharia de Produção - Brasil
[2] Universidade Federal de São Carlos. Departamento de Engenharia de Produção - Brasil
[3] Universidade Federal de São Carlos. Departamento de Engenharia de Produção - Brasil
[4] Universidade Federal de São Carlos. Departamento de Ciência da Informação - Brasil
[5] University of Alabama. Department of Information Systems, Statistics and Management Science - Estados Unidos
Total Affiliations: 5
|
| Document type: | Journal article |
| Source: | Gestão & Produção; v. 23, n. 4, p. 853-870, 2016-09-01. |
| Abstract | |
Abstract An increasing number of papers on statistical process control (SPC) has emerged in the last fifty years, especially in the last fifteen years. This may be attributed to the increased global competitiveness generated by innovation and the continuous improvement of products and processes. In this sense, SPC has a fundamentally important role in quality and production systems. The research in this paper considers the context of technological improvement and innovation of products and processes to increase corporate competitiveness. There are several other statistical technics and tools for assisting continuous improvement and innovation of products and processes but, despite the limitations in their use in the improvement projects, there is growing concern about the use of SPC. A gap between the SPC technics taught in engineering courses and their practical applications to industrial problems is observed in empirical research; thus, it is important to understand what has been done and identify the trends in SPC research. The bibliometric study in this paper is proposed in this direction and uses the Web of Science (WoS) database. Data analysis indicates that there was a growth rate of more than 90% in the number of publications on SPC after 1990. Our results reveal the countries where these publications have come from, the authors with the highest number of papers and their networks. Main sources of publications are also identified; it is observed that the publications of SPC papers are concentrated in some of the international research journals, not necessarily those with the major high-impact factors. Furthermore, the papers are focused on industrial engineering, operations research and management science fields. The most common term found in the papers was cumulative sum control charts, but new topics have emerged and have been researched in the past ten years, such as multivariate methods for process monitoring and nonparametric methods. (AU) | |
| FAPESP's process: | 14/00550-3 - Nonparametric statistical inference methods applied to statistical process control: an overview and some new ideas |
| Grantee: | Pedro Carlos Oprime |
| Support Opportunities: | Research Grants - Visiting Researcher Grant - International |