Análisis de una operación industrial de suministro de combustible Diésel B-5 y desarrollo de solución de optimización basada en las metodologías del PMI, ISO 9000, ISO 14000 y OHSAS 18000
Tesis Materias > Ingeniería Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales Abierto Español En el marco de la ejecución del megaproyecto minero Las Bambas, se tuvo regulada la operación industrial de suministro de combustible Diésel B-5 bajo el contrato CB-029-12 con una duración contractual de 5 años a partir del 2012. Se tienen como partes a Xstrata Copper, como entidad contratante, y a Petróleos del Perú – Petroperú, como entidad contratada. Por un lado, aparece Xstrata Copper como compañía minera global que opera en 19 países y es uno de los grandes productores de cobre; por otro lado, aparece Petróleos del Perú – Petroperú como empresa de propiedad del Estado Peruano y de derecho privado dedicada al transporte, refinación, distribución y comercialización de combustibles y otros productos derivados del petróleo. Adicionalmente, aparece Servosa Cargo como operador logístico de Petróleos del Perú – Petroperú que se dedica al transporte de combustibles líquidos y lubricantes hacia minas, obras de infraestructura y gran industria. Respecto al desempeño de la operación industrial se observa hasta un 8% de bienes no entregados entre los años 2012 y 2013, incidentes de desabastecimiento intempestivo de combustible en instalaciones del cliente, y detección de incumplimiento de la especificación del Nivel de Limpieza del combustible entre otros. Estas fallas son atribuibles a que en la relación comercial no existe una metodología de gestión de proyectos. El Project Management Institute (PMI) es una organización internacional especializada en gestión de proyectos y ha desarrollado buenas prácticas para lograr el gerenciamiento efectivo de proyectos. La presente investigación consiste en comparar las 10 áreas de conocimiento en gestión de proyectos identificadas por el PMI con aquellas aplicadas para el desarrollo del contrato CB-029-12. La aportación al estado del arte del presente trabajo es establecer una metodología a medida para el proyecto minero Las Bambas que incluya la gestión de proyectos incluyendo como una mejora la gestión de la prevención de riesgos laborales y ambientales. metadata Azálgara Bedoya, Mauricio mail mazalgarab@gmail.com (2018) Análisis de una operación industrial de suministro de combustible Diésel B-5 y desarrollo de solución de optimización basada en las metodologías del PMI, ISO 9000, ISO 14000 y OHSAS 18000. Doctoral thesis, Universidad Internacional Iberoamericana México.
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En el marco de la ejecución del megaproyecto minero Las Bambas, se tuvo regulada la operación industrial de suministro de combustible Diésel B-5 bajo el contrato CB-029-12 con una duración contractual de 5 años a partir del 2012. Se tienen como partes a Xstrata Copper, como entidad contratante, y a Petróleos del Perú – Petroperú, como entidad contratada. Por un lado, aparece Xstrata Copper como compañía minera global que opera en 19 países y es uno de los grandes productores de cobre; por otro lado, aparece Petróleos del Perú – Petroperú como empresa de propiedad del Estado Peruano y de derecho privado dedicada al transporte, refinación, distribución y comercialización de combustibles y otros productos derivados del petróleo. Adicionalmente, aparece Servosa Cargo como operador logístico de Petróleos del Perú – Petroperú que se dedica al transporte de combustibles líquidos y lubricantes hacia minas, obras de infraestructura y gran industria. Respecto al desempeño de la operación industrial se observa hasta un 8% de bienes no entregados entre los años 2012 y 2013, incidentes de desabastecimiento intempestivo de combustible en instalaciones del cliente, y detección de incumplimiento de la especificación del Nivel de Limpieza del combustible entre otros. Estas fallas son atribuibles a que en la relación comercial no existe una metodología de gestión de proyectos. El Project Management Institute (PMI) es una organización internacional especializada en gestión de proyectos y ha desarrollado buenas prácticas para lograr el gerenciamiento efectivo de proyectos. La presente investigación consiste en comparar las 10 áreas de conocimiento en gestión de proyectos identificadas por el PMI con aquellas aplicadas para el desarrollo del contrato CB-029-12. La aportación al estado del arte del presente trabajo es establecer una metodología a medida para el proyecto minero Las Bambas que incluya la gestión de proyectos incluyendo como una mejora la gestión de la prevención de riesgos laborales y ambientales.
| Tipo de Documento: | Tesis (Doctoral) |
|---|---|
| Palabras Clave: | PMI; Diésel; Sistema; Gestión; Contrato |
| Clasificación temática: | Materias > Ingeniería |
| Divisiones: | Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales |
| Depositado: | 28 Mar 2022 23:55 |
| Ultima Modificación: | 28 Mar 2022 23:55 |
| URI: | https://repositorio.unini.edu.mx/id/eprint/429 |
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The main aim of this study was to analyse the influence of e-learning training on the acquisition of competences in basketball coaches in Cantabria. The current landscape of basketball coach training shows an increasing demand for innovative training models and emerging pedagogies, including e-learning-based methodologies. The study sample consisted of fifty students from these courses, all above 16 years of age (36 males, 14 females). Among them, 16% resided outside the autonomous community of Cantabria, 10% resided more than 50 km from the city of Santander, 36% between 10 and 50 km, 14% less than 10 km, and 24% resided within Santander city. Data were collected through a Google Forms survey distributed by the Cantabrian Basketball Federation to training course students. Participation was voluntary and anonymous. The survey, consisting of 56 questions, was validated by two sports and health doctors and two senior basketball coaches. The collected data were processed and analysed using Microsoft® Excel version 16.74, and the results were expressed in percentages. The analysis revealed that 24.60% of the students trained through the e-learning methodology considered themselves fully qualified as basketball coaches, contrasting with 10.98% of those trained via traditional face-to-face methodology. The results of the study provide insights into important characteristics that can be adjusted and improved within the investigated educational process. Moreover, the study concludes that e-learning training effectively qualifies basketball coaches in Cantabria.
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Carotenoids Intake and Cardiovascular Prevention: A Systematic Review
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The evolution of the COVID-19 pandemic has been associated with variations in clinical presentation and severity. Similarly, prediction scores may suffer changes in their diagnostic accuracy. The aim of this study was to test the 30-day mortality predictive validity of the 4C and SEIMC scores during the sixth wave of the pandemic and to compare them with those of validation studies. This was a longitudinal retrospective observational study. COVID-19 patients who were admitted to the Emergency Department of a Spanish hospital from December 15, 2021, to January 31, 2022, were selected. A side-by-side comparison with the pivotal validation studies was subsequently performed. The main measures were 30-day mortality and the 4C and SEIMC scores. A total of 27,614 patients were considered in the study, including 22,361 from the 4C, 4,627 from the SEIMC and 626 from our hospital. The 30-day mortality rate was significantly lower than that reported in the validation studies. The AUCs were 0.931 (95% CI: 0.90–0.95) for 4C and 0.903 (95% CI: 086–0.93) for SEIMC, which were significantly greater than those obtained in the first wave. Despite the changes that have occurred during the coronavirus disease 2019 (COVID-19) pandemic, with a reduction in lethality, scorecard systems are currently still useful tools for detecting patients with poor disease risk, with better prognostic capacity.
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Diabetes is a persistent health condition led by insufficient use or inappropriate use of insulin in the body. If left undetected, it can lead to further complications involving organ damage such as heart, lungs, and eyes. Timely detection of diabetes helps obtain the right medication, diet, and exercise plan to lead a healthy life. ML approach has been utilized to obtain rapid and reliable diabetes detection, however, existing approaches suffer from the use of limited datasets, lack of generalizability, and lower accuracy. This study proposes a novel feature extraction approach to overcome these limitations by using an ensemble of convolutional neural network (CNN) and long short-term memory (LSTM) models. Multiple datasets are combined to make a larger dataset for experiments and multiple features are utilized for investigating the efficacy of the proposed approach. Features from the extra tree classifier, CNN, and LSTM are also considered for comparison. Experimental results reveal the superb performance of CNN-LSTM-based features with random forest model obtaining a 0.99 accuracy score. This performance is further validated by comparison with existing approaches and k-fold cross-validation which shows the proposed approach provides robust results.
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