Conference Agenda

This study presents a management model to increase productivity in pole manufacturing in Lima, Peru, through the implementation of SMED, 5S, TPM, and Poka Yoke techniques. The research addresses the issue of low utilization of installed capacity in a fiberglass-reinforced polymer (FRP) pole manufacturing company, which did not exceed 70% in 2023 despite sector growth. The importance of this study lies in its potential to significantly improve OEE indices. The proposed model includes detailed steps for implementing SMED, which reduces setup times; 5S, which organizes the workplace; TPM, which ensures operational availability of equipment; and Poka Yoke, which minimizes production errors.

The validation of the model in a case study involved measuring key performance indicators, such as Overall Equipment Effectiveness (OEE), which improved by 40%, reaching an average of 80.56%. The results also demonstrated a 13% reduction in cycle times and a 40% reduction in setup times. The main conclusion is that integrating these techniques can substantially improve efficiency and profitability in the manufacturing sector.

This study aims to determine the extent to which the Markovian prospective analysis of Financial Health is influenced by Sales Management and Market Analysis in Service SMEs in the town of Huacho, Peru. A non-experimental and cross-sectional research design was applied. The independent variables were Sales Management and Market Analysis and Financial Health as the dependent variable. The results reflect an acceptable reliability of the data Cronbach's Alpha = 0.820 and McDonald's Omega = 0.557 the Kolmogorov-Smirnov normality test p-value = 0.000 indicates that the data do not follow a normal distribution, while the Friedman test p-value = 0.000 shows significant differences between the groups analyzed. Nonparametric multiple regression Logit reveals that Finance = 21.625 + 0.399 (New customers) − 0.100 (More sales) − 0.414 (More promotion) + 0.265 (More financing) + 0.111 (Relationships) − 0.820 (Pricing method) − 0.153 (Quality method) + 0.493 (Customers method) + 0.590 (Attention method) − 0.343 (SWOT method). Spearman correlation indicates weak relationships between sales management and financial variables, with the exception of business relationships (r = 0.159). Finally, the Markov analysis shows that the financial stability of the SMEs in Huacho decreases from 86.2% in the initial period to 33.1% in period 12. It is concluded that digitalization and optimization of commercial management could mitigate this vulnerability and improve the financial sustainability of these companies.

The present study was a systematic literature review (SLR) analysis to design a management based on total productive maintenance (TPM) applied to industrial equipment. The PRISMA method was used, combining qualitative and quantitative approaches through a systematic review and the PICO method to analyze articles published between 2020 and 2024. 23 articles were selected for the final analysis. Predecessors who executed an action plan with TPM report a significant increase in overall machine effectiveness (OEE), increasing this indicator by 33.42% and achieving a 97% reduction in maintenance costs. In addition, a 74% improvement in performance and a 30% decrease in operating costs will be observed. The study concluded that TPM is effective in increasing equipment reliability and availability, being crucial to improve competitiveness and operational efficiency in industries with automated and sequential processes.

This company manufactures faucets and sanitary ware in Lima, Peru. This study will focus on the faucet product line. This research focuses on studying a company within the metal-mechanic sector that faces productivity issues, negatively impacting its competitiveness. Periodic visits to the company were conducted to collect data. Various tools, such as “5 Whys”, Ishikawa diagram and Pareto diagram, were employed to identify the main issues, revealing significant problems such as poorly optimized workstations, low-quality parts, high unproductive times and improper machine usage, among others. The root causes were identified to address them using Lean Manufacturing tools, including 5S, Work Standardization, ergonomic analysis and Poka-Yoke. Improvements were simulated using Arena software, yielding remarkable results, such as a 24% reduction in human errors per quarter, an 11.11% increase in productivity, and a 5% reduction in non-productive times. Finally, the profitability of the proposal was evaluated through a Net Present Value (NPV) of 1,792,845.45 USD, an Internal Rate of Return (IRR) of 66.56%, and a return on investment within less than 1.5 years.

The main objective of this research is to develop and propose a new tool which can be used within the field of methods engineering. Currently, methods engineering has a very wide range in the use of diagrams and graphs for the study and mapping of processes, however, this study explains that there is a need for a tool that is capable of visually, easily identifying and quickly eliminate bottlenecks within a process.

This study analyzes how the combination of Lean Manufacturing (LM) and Industry 4.0 (I4.0) technologies can transform the manufacturing sector by reducing waste and optimizing resources. To this end, a Systematic Literature Review (SLR) was conducted following the PICO framework, which allowed structuring key questions on problems, interventions, context and outcomes. A total of 179 papers were collected from databases such as SCOPUS and Web of Science, and after applying specific criteria, 23 relevant studies were selected. These papers highlighted how Lean tools, such as JIT, Kaizen and 5S, are enhanced with technologies such as IoT, Big Data and cyber-physical systems, achieving significant improvements in efficiency, quality and time reduction. The results show that this integration not only makes production more sustainable and leaner, but is applicable in sectors such as automotive, food and electronics. However, challenges such as resistance to change and the need for digital skills still persist. In summary, combining LM and I4.0 represents a unique opportunity for companies seeking greater competitiveness in a dynamic market.

The production of plastics has experienced significant growth globally in recent decades. This growth has led to an increase in national demand, which small companies often struggle to meet due to low productive capacity. Various studies show that this low productivity is mainly caused by inefficient use of company resources, extended setup times and low machine availability. This research aimed to address these issues by applying Lean Manufacturing tools, specifically Single Minute Exchange of Dies (SMED), Total Productive Maintenance (TPM), and 5S, in a Peruvian plastics sector company. The project focused on improving productivity in the company’s plastic bag production line, which mainly included extrusion, printing, and sealing operations. The model was subsequently validated through simulation in the Arena software, where its effectiveness was verified. Finally, it was demonstrated that implementing these tools could achieve a setup time reduction of 17.09% for extrusion, 26.63% for printing, and 28.84% for sealing. Additionally, regarding machine availability, extruders and printers showed improvements of 1.23% and 4.81%, respectively. All these improvements translated into an overall productivity increase of 33.57% in the production line.