La presente tesis tiene como objetivo ser guía en el análisis e interpretación de las causas de los Costos de No Calidad para los futuros proyectos del sector construcción, tomando como fuente de información el proyecto de viviendas multifamiliares: “Nuevo Alcázar Condominio”, ubicada en el distrito del Rímac en la ciudad de Lima. La tesis se desarrolló de acuerdo a la información de la Primera Etapa comprendida por los Edificios 17, 18 y 19; las principales fuentes de información fueron los registros de las No Conformidades en el proceso de ejecución de la obra, la data del programa S10 que nos fue de ayuda para obtener los costos reales acumulados, la data del programa PLANOK, del cual se obtuvo el registro de observaciones de los propietarios desde la puesta en servicio del proyecto, el reporte operativo de costos acumulado a Agosto 2015, el registro de adicionales y control de cambios durante la ejecución del proyecto, estas herramientas fueron piezas claves para el análisis de esta investigación. Para el caso estudiado, se concluyó del objetivo general que los costos de no calidad influyen en el margen de utilidad cuando se realiza un presupuesto sincerado, de los objetivos específicos se concluye que la calidad se debe desarrollar desde el diseño del proyecto y no solo durante la etapa de ejecución, ya que los errores o incompatibilizaciones en los planos generan adicionales de obra y se analizaron que las partidas de control que representaron una mayor ganancia fueron las que obtuvieron mayores observaciones en la puesta en servicio del proyecto. The objective of this investigation is to be a guide in the analysis and interpretation of the causes of non-quality costs for future projects in the construction sector, using as information the project: “Nuevo Alcázar Condominio", located in the district of Rimac in Lima. The investigation was developed according to information of the first phase comprised of Buildings 17, 18 and 19; the main sources of information were records of nonconformity in the process of execution of the project, the data of the S10 program that was helpful to us for actual costs accumulated, dates from PLANOK program, which recording observations of the owners was obtained from the commissioning of the project, operating costs accumulated report in August 2015, additional registration and change control during project implementation, these were important tools for the analysis of this research. For the case study, it was concluded from general object that the costs of not quality affect the profit margin when the budget is exact, the specific objectives that quality is important from the design of the project and not only in the implementation phase, so that the fault on drawings generate additional work and we analyzed the control items accounted for a larger gain were the major observations obtained in the service of the project.

Project control is essential to ensure that the investment on a project is providing the intended benefits and is valuable to the customers. Previous methods offer project performance monitoring and forecasting tools, but they lack accuracy and the associated techniques omit the project financial risk (any unplanned event that has an impact on schedule and budget); the main factor of project failure. Poor project execution, and particularly failure to control and accurately forecast the project performance, may lead to increased costs, upset customers and eventually loss of market share. These gaps have been filled in this study by the development of novel models that use statistical analysis of the previous project performance, including risk evaluation techniques. The proposed models succeeded in providing remarkably improved forecasts in three project dimensions: duration, cost and resources. The robustness of the models has been verified by testing them on real projects. The results show superiority in terms of accuracy and easy application compared to any existing method, proving that the risk inclusion provides improvement compared to previous studies. The most important features of the models are: risk-based adjustment of the forecasted values, periodic and completion forecasts, statistical processing and holistic approach. The greatest advancements have been made in the cost forecast, for which the risk adjustment inclusion is examined for the first time. The resources (man-hours) forecast is another pioneer element of the proposed models. All the above provide a complete image of the project status and paint the picture of future performance. The models results are fed in a Decision Support System, which highlights the overperforming and underperforming areas of the project. This confirms the proposition that the model results can be used to initiate restorative action. The contribution of this study to the project management field is easy-to-use and accurate models, which include the financial risk and facilitate the project manager’s decisions and actions. Anticipation of the project performance, by considering the risk, can result to significant time and cost savings, crucial for project success.