Strategies to achieve educational excellence in higher education in Mexico amid the growing use of artificial intelligence

Abstract

The application of kaizen in industrial projects is of utmost importance due to the results derived from its proper implementation. In the MDA line, the objective was to optimize efficiency and workflow through the use of this methodology. Initially, a detailed diagnosis was conducted, which identified the root causes of inefficiency on the line. This was achieved with the support of operators and administrative staff, and a detailed time and motion study was prepared. These causes were categorized with the help of a Pareto model. This led to the design and development of proposals that sought to address the inefficiency in the analysis line, such as the implementation of devices and the relocation of the layout. The results obtained after applying kaizen on the MDA line included positive results in specific improvements that reduced lost time. However, the overall performance of the line was not as expected, and it was identified that the cause of this reduction was unrelated to the improvements implemented and was primarily related to systemic factors of the operating staff. Additionally, the development of another successful project related to the DLO line is presented, in which the kaizen methodology was applied under the DMADV cycle, achieving the recovery of approximately 1,400 pieces that were destined for scrap.