Scientific research trends about metaheuristics in process optimization and case study using the desirability function

Abstract

This study aimed to identify the research gaps in Metaheuristics, taking into account the publications entered in a database in 2015 and to present a case study of a company in the Sul Fluminense region using the Desirability function. To achieve this goal, applied research of exploratory nature and qualitative approach was carried out, as well as another of quantitative nature. As method and technical procedures were the bibliographical research, some literature review, and an adopted case study respectively. As a contribution of this research, the holistic view of opportunities to carry out new investigations on the theme in question is pointed out. It is noteworthy that the identified study gaps after the research were prioritized and discriminated, highlighting the importance of the viability of metaheuristic algorithms, as well as their benefits for process optimization.

Using the paired T-Test to compare suppliers

“…Taking into account that the improvement of the quality of a company needs to take into account the environmental issue, the treatment of effluents needs to be a key issue for a company (Cardoso, R.P ;Sampaio, N.A.S;Reis, J.S.M;Silva, D.E.W; Barros, 2023;Cardoso et al, 2023a;Espuny et al, 2022;Gomes et al, 2022;Felipe C. Mazza et al, 2023;Felipe Cury Mazza et al, 2022;Reis, Neto, et al, 2023;Santana et al, 2023;Yamada et al, 2023).…”

Using the attribute control chart to monitor a chemical manufacturing process

“…Today, statistics has made a significant contribution to the decision-making process because much of what is produced is based on quantitative methods, and statistics is one such area. In the information and knowledge age, statistics uses mathematics to support business professionals, government and researchers (Cardoso et al, 2023b;Correa, M.P.O;Santos, R.R;Cardoso, R.P;Reis, J.S.M;Sampaio, 2023; Junior et al, 2023;Leiroz et al, 2023;Felipe Cury Mazza et al, 2022;Moura et al, 2023;Oliveira et al, 2023;Reis, Neto, et al, 2023).…”

“…In these cases, P-type control charts are used, which check the percentage of defective products, or C-type charts, which check the number of defects per piece (CASTRO et al, 2012) Quality is a challenge and needs to be implemented for industrial processes to occur with sustainability to have a real impact on reducing and consequently eliminating environmental damage. Statistics is an essential tool and has been used in several applications and in all areas of human knowledge to improve processes, as decision making and to ensure that the environment is preserved (Cardoso, R.P ;Sampaio, N.A.S;Reis, J.S.M;Silva, D.E.W; Barros, 2023;Cardoso et al, 2023aCardoso et al, , 2023bH. D. O. G. da Silva et al, 2021;Correa, M.P.O;Santos, R.R;Cardoso, R.P;Reis, J.S.M;Sampaio, 2023; Gomes et al, 2022;Felipe C. Mazza et al, 2023;Reis, Cardoso, et al, 2023;Rezende et al, 2023;Rubert et al, 2023;Yamada et al, 2023).…”

Application of the poisson distribution in the prediction of the number of defects in a textile factory

“…The history of industry is marked by four industrial revolutions, and society is now in the consolidation of its fourth, which offers opportunities for sustainability, such as reducing environmental impact and social inclusion. In this period of time, statistics and probability have never been more necessary to model phenomena and justify decision making (Cardoso et al, 2023;Espuny et al, 2022;Gomes et al, 2022;Reis et al, 2022;Reis, Cardoso, et al, 2023;Sales et al, 2022).…”