Análise de soluções digitais para a otimização do design de manufatura celular

Abstract

The Manufacturing Cell Design Problem (MCDP) is a challenge in the field of manufacturing cell design, which involves grouping machines into independent production cells. The objective is for each cell to process similar parts, reducing the movement of parts between cells. The study of these cells is primarily motivated by cost reduction and processing time of the parts. In this context, this work aims to map the possible technological solutions for optimization criteria involving Cellular Manufacturing Design in the literature. To achieve this objective, a Systematic Literature Review was conducted using the PRISMA method, resulting in a portfolio of 53 articles. Additionally, a bibliometric analysis was carried out to explore different approaches to solving the MCDP. In the next phase of this study, a content analysis of the portfolio will be performed using the NVIVO 10 software. The main results of this research highlight the different ways of resolving the MCDP found in the literature, in addition to identifying the optimization criteria used in the MCDP, and comparing these solutions to these criteria. These results provide valuable insights for the development of more efficient manufacturing cell design strategies. In conclusion, this work emphasizes the importance of studying manufacturing cells for cost reduction and processing time of parts. The adopted methodology provided a comprehensive understanding of the existing approaches to solve the MCDP. Based on the obtained results, it is expected that this study will contribute to the optimization of manufacturing cell design, benefiting the industry in terms of efficiency and productivity.