Case Studies

A simulation study was carried out in SIMIO to analyze the possibility of installing a traffic light at an intersection in the city of Tierra Blanca, Veracruz, Mexico. This intersection experiences significant congestion at certain times of the day, generating concerns about road safety for drivers and pedestrians. Following the simulation methodology proposed by Law and Kelton (2014), a representative model of the real system was achieved with 95% confidence. The performance measures, evaluated according to Cal y Mayor and Cardenas (2007) criteria for traffic signal implementation, satisfactorily meet above 80%, supporting the placement of the traffic signal as a viable alternative to address congestion at the intersection.

Throughout the frozen avocado pulp making process, comprehensive information has been collected, including operation diagram, technical data and machine requirements. This information has been used to develop a robust simulation model in Simio. The operations diagram was derived from previous research on the design of an avocado puree production line in the Department of Piura in 2013. The system identifies key operations, from the reception of raw material to the output of the finished product, covering areas of selection, washing, cutting, pulping, packaging and cold storage. Technical data for each operation was obtained through a time and motion study, providing average times per operation, with the exception of the pulper, packer and cold storage. This robust approach lays the foundation for effective simulation of the frozen avocado pulp production process at Simio.

In this research project, students from the Universidad Iberoamericana de Puebla focus on improving Mecanum wheels for their application in autonomous vehicle platforms (AGV) in limited spaces. They seek to overcome obstacles in the implementation of systems with this type of wheels by redesigning them to adapt them to Haas machines at the Institute of Design and Technological Innovation (IDIT). In addition, cost alternatives, materials and accessible processes are proposed in the SIMIO simulator. The methodology covers wheel manufacturing, stress and deformation simulations, as well as assembly. The proposed wheels offer advantages for local small and medium scale enterprises, with load capacity of 100 kg and load capacity of 1000 N without jamming. Each wheel should support 50 kg without deformation, reaching a maximum speed of 10 km/h on smooth terrain. The prototype results show efficiency, complying with standards and operating parameters, supported by detailed analysis and illustrative graphs.

This project proposes a strategy to improve competitiveness in the manufacturing industry. The main focus is the reduction of die mold change time using the SMED methodology. The proposal seeks to provide a model or guide to implement this approach in the manufacturing of parts for customers, with the objective of achieving an estimated 80% reduction in changeover times. This initiative aims to optimize the die area, eliminating downtime and increasing part demand by approximately 20%, which would result in significant time and annual production savings, through simulations in SIMIO and other tools.