Communities in PRCR
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- Colecciones de la Albizu University
- Colecciones digitales de Atenas College
- Colecciones de los Centros Sor Isolina Ferré
- Materiales utilizados para la certificación.
Recent Submissions
Strategic Management of Electrical Distribution Infrastructure for the Valley Village Affordable Housing Development
(Polytechnic University of Puerto Rico, 2026) De La Cruz Corujo, Ricardo Jr.; Cruzado Vélez, Héctor J.
This project developed a strategic electrical distribution infrastructure solution to support the interconnection to the Valley Village affordable housing development in Santa Isabel, Puerto Rico, consisting of approximately 300 residential units with a projected demand of 2,150 kVA. Operational studies confirmed that the existing 4.16 kV feeder operated at approximately 90% of its loading capacity, resulting in thermal loading and voltage regulation limitations that restricted additional load integration. Engineering analyses, including load flow simulations, voltage drop evaluations, and distribution design validation, were conducted to identify feasible interconnection alternatives. The methodology followed the PMBOK framework and incorporated a structured decision matrix based on technical feasibility, reliability, cost efficiency, and operational risk. The selected 13.2 kV feeder extension was developed to an execution-ready level within the established $800,000 project budget. The resulting solution is expected to improve system capacity, enhance voltage performance, and suppotrt long-term reliability and future load growth.
Improving Integration of External Contractor Activities into the Lead Maintenance Activity Integrated Production Schedule
(Polytechnic University of Puerto Rico, 2026) Montes La Santa, Wilfredo; Cruzado Vélez, Héctor J.
This project evaluated the integration of external contractor activities into the Lead Maintenance Activity Integrated Production Schedule at FDRMC Rota to improve compliance with NAVSEA Standard Item 009-060, using the DMAIC methodology. Baseline analysis showed contractor integration performance was approximately 60%, significantly below the 95% target. Pareto and Fishbone analyses identified late submissions, deficient data quality, missing logical relationships, and lack of a centralized Work Integration Manager role as the primary contributors to integration deficiencies. A structured improvement framework was developed to improve schedule visibility, coordination, and long-term compliance.
Improving Supplier Engagement in Performance Data Reporting
(Polytechnic University of Puerto Rico, 2026) Cruz Latalladi, Yanielys; Cruzado Vélez, Héctor J.
Improving supplier performance reporting in the aerospace industry required addressing low supplier participation, incomplete data submissions, delayed reporting, and inconsistent data quality, all of which reduced operational visibility and decision-making effectiveness. The Plan-Do-Check-Act (PDCA) methodology was applied to standardize the reporting process through the implementation of a RACI matrix, improved supplier communication, standardized reporting templates, and KPI monitoring. Results showed significant performance improvements: supplier participation increased from 50% to 78%, data completeness from 62% to 90%, data accuracy from 70% to 93%, and on-time submission from 58% to 86%. Structured continuous improvement strengthened supplier accountability, reporting reliability, and overall operational efficiency.
Optimización de los Procesos en Paletizadora PAI 1.75 LTS de la Embotelladora de Coca-Cola en Cayey
(Universidad Politécnica de Puerto Rico, 2024-05) Silva Rodríguez, Amarilis; Sánchez Román, Tahis; Olivares Lugo, Luis A.; Universidad Politécnica de Puerto Rico, San Juan Campus, Industrial and Systems Engineering Department, Industrial Engineering Program
La embotelladora de Coca-Cola en Cayey fue fundada en 1995 manufacturando 5 productos en total, hoy día producen más de 500 sabores diferentes. Coca-Cola es una de las empresas de bebidas más grandes del mundo, y la embotelladora de Cayey opera las 24 horas los 7 días de la semana. Esta fue reconocida en 2020 con el “Premio de Excelencia en Calidad” compitiendo con todas las embotelladoras de Estados Unidos y Canadá. Desde 2018, el principal problema reportado en la paletizadora PAI 1.75 Lts ha sido el tiempo de inactividad debido a paletas encajadas, representando el 31.60% del tiempo total de demoras en 2022 y el 18.51% en 2023. En octubre de 2023, iniciamos nuestro proyecto de finalización de carrera universitaria de mejora continua utilizando la metodología Six Sigma (DMAIC) para abordar esta problemática. Durante la fase "Define", se identificaron los interesados y se clarificaron los problemas específicos y medibles a resolver. Se observó que la paletizadora sufría de tiempos de inactividad principalmente en el turno B (52.44% en 2023). Evaluamos el proceso completo, identificando suplidores y entradas al proceso, y mapeando las etapas desde la llegada del producto a la paletizadora hasta su salida. Se utilizó un diagrama SIPOC para detallar las entradas, salidas y clientes del proceso. Además, se analizaron las condiciones de las cadenas transportadoras y la capacitación del personal para asegurar un flujo continuo y seguro en la estación. La meta del proyecto es reducir el tiempo de inactividad en la paletizadora PAI 1.75 Lts a un límite de 125 minutos al mes, optimizando el proceso para aumentar la productividad y seguridad del personal para así cumplir con un flujo continuo en la estación. Tras completar todas las etapas, presentamos soluciones a corto y mediano plazo para implementarse en la paletizadora PAI 1.75Lts. Finalmente, presentamos nuestro proyecto a los interesados y obtuvimos su opinión de nuestro proyecto.
Development of a Production Planning Decision-Support Tool for Aerospace Engine Manufacturing
(Polytechnic University of Puerto Rico, 2026) López Serrano, Yelitza I.; Cruzado Vélez, Héctor J.
This study developed a conceptual production planning decision-support tool for aerospace engine manufacturing environments by integrating supply chain performance, manufacturing capacity, workforce availability, and testing constraints into a unified model. The objective was to improve production forecasting accuracy by representing the system as a set of interdependent operational constraints rather than isolated functional capacities. A constraint-based modeling approach was applied to estimate maximum monthly engine production under varying operational scenarios using representative datasets. The results showed that supplier delivery reliability is the most significant factor influencing production output, producing a 38% reduction in total engine production when constrained, followed by manufacturing capacity, labor availability, and testing constraints. The proposed framework enhances decision-making by enabling scenario-based analysis and improving visibility of production bottlenecks within complex aerospace manufacturing systems.