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Permanent URI for this communityhttps://axces.info/handle/10.18687/46
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Item Propuesta de mejora del diseño de la red de medidores inteligentes en un campus universitario(LACCEI Inc., 2018-09) Rojas Polo, Jonatan Edward; Kamt Marconi, Angel; Cáceres Cansaya, Alexia; Gilardino Arias, Alessandro OscarEsta investigación se desarrolló dentro del área geográfica del campus de la Pontificia Universidad Católica del Perú (PUCP, Lima-PE), y aborda el diseño y distribución de una red de medidores inteligentes de energía eléctrica y agua dentro de los edificios y pabellones del campus universitario. Los datos (mediciones) fueron recolectados en los servidores principales, teniendo en cuenta la capacidad de comunicación de cada dispositivo, los canales de comunicación disponibles, y satisfaciendo sus respectivas restricciones de rango de alcance, limitación de zonas, entre otros. El objetivo es diseñar una ruta óptima de los datos de cada punto, buscando la minimización de los costos de implementación. La investigación se inició con la identificación del requerimiento de medición (cantidad de medidores de cada tipo) en cada uno de los 54 edificios (pabellones) y la distancia (ubicación) de cada punto dentro del campus. Se realiza una descripción de los dispositivos y tecnologías de comunicación disponibles, haciendo énfasis en sus especificaciones de costos, rangos de alcance y capacidad de repetición de datos. Una vez planteadas las rutas, las cantidades de dispositivos requeridos y las restricciones, con ayuda del software AMPL se determinó la ruta óptima de los datos y la cantidad y tipo de dispositivos de comunicación requeridos en cada punto. Se realizó una comparación entre este resultado y el no optimizado, logran obtener un ahorro significativo con el modelo de optimización.Item Analysis of an evacuation plan after an earthquake in El Progreso sector at Carabayllo district(LACCEI Inc., 2018-09) Rodríguez Anticona, Miguel Ángel; Ramirez, Miguel; Yupanqui, Daniel; Rojas Polo, Jonatan EdwardLima is a city of 10 million inhabitants, and 60% of its population lives in slums settlements. Due to its location in the Circum Pacific Belt of Fire, this is a high-seismic activity area. Despite this fact, there is a serious lack of urban planning and natural disaster planning. After decades of neglect by Latin American governments in terms of planning, a quantitative risk assessment to determine population exposure is imperative, as well as it is also mandatory to propose an evacuation plan to mitigate, as far as possible, the post-earthquake effects. “El Progreso” sector located in Carabayllo, a Lima district in Peru, was selected as the case study because it is one of the slum settlements with the highest potential risk as it is located in a basin surrounded by hills due to the effects of informal constructions (such as ceilings). Filled with rocks and walls) their slopes have suffered much more deterioration than in other hillsides. In addition, this area is prone to debris avalanches, rock fragments, debris flows among other geologic hazards. First step is start to identify all the existing risks such as: the height of buildings near the escape routes, illegally parked vehicles (mainly taxis and Peruvian motorcycle taxis), current traffic on the streets, distance to the evacuation areas, flow capacity of escape routes, flows of pedestrian moving in opposite directions, slopes and types of floor of escape routes, danger of avalanche and falling rocks. Then, risks will be classified using the Analytic Hierarchy Process AHP to obtain the cost function for roads. Then, two evacuation models based on linear programming are presented minimizing risk functions. Finally, two evacuation models based on linear programming are presented.Item Productivity Improvement for the Manufacture of Disposable Medical Material in a South American Country pointing towards Industry 4.0(LACCEI Inc., 2018-09) Stoll Quevedo, Cesar; Cornejo Sanchez, Christian; Atoche Diaz, Wilmer; Rojas Polo, Jonatan EdwardThe manufacture of disposable medical material in a developing country is a labor-intensive manufacturing process. Quality inspections are based on experts’ personal observations, who then decide which products fulfill the required quality. Errors in quality control can have fatal consequences due to the clinical use of the products. Furthermore, we cope with several manufacturing problems that affect demand fulfillment. In this context, we need an efficient production line with reliable quality control processes, i.e. a lean production system, no wastes. Implementing the concepts of Industry 4.0 is therefore recommended for a continuous improvement process in the disposable medical material industry. In the cur-rent research, we introduce automated assembly machines as a first step to establish new standards for production and quality. Furthermore, we analyze the long-term benefits based on the application of automation, lean production and Industry 4.0.