Operation and Maintenance (O&M) stage is the most expensive phase during the life cycle of a building. Currently, much of the information used in there is still paper-based and is delivered to the owner months after the facilities are in use. Therefore, it is necessary to study the interaction between Lean principles and Building Information Modeling(BIM) Functionalities in the building during O&M phase to optimize resources. This paper proposes a BIM-FM workflow and compares it with traditional Facility Management in a Peruvian sports infrastructure. The case study was Aquatic Center for the XVIII Pan-American Games and VI Parapan-American Games Lima 2019. The sport infrastructure was designed and built under an Integrated Project Delivery (IPD) environment applying BIM methodology until the construction phase. The main difference found is that proposed BIM-FM workflow improves the efficiencies of the workforce for accessing to accuracy and complete information about Facility's components. Finally, the paper presents barriers in the BIM-FM implementation evidenced in the case study.

The present research applies the Parametric Design (PD) and Generative Design (GD) for the generation of complex structures, through the BIM methodology, being implemented in design phase of a new modern proposal for Pavilion J1 of the National University of Engineering from Perú. The research aims to: Study the PD and GD considering the interoperability provided by BIM tools, propose procedures that help solve PD and GD problems, understand the benefits of process automation through generative and parametric algorithms. The conception and design phase of projects are developed in a traditional way using CAD Softwares for drawing plans or BIM Softwares for the design and/or modeling of structures, carrying out manual tasks either for the extraction of measurements, exchange of information or modeling, this implies a lack of efficiency in many processes because despite having modern computational tools, the full potential they offer is not used. This is reflected in the productivity of the construction sector as it is one of the lowest compared to other sectors such as manufacturing, commerce, agriculture. Due to this problem, new technologies were studied, such as evolutionary algorithms supported by parametric design for the conception and design of structures. Subsequently, as a test, this new methodology was applied to various types of structures, testing the parametric behavior and understanding the operation of these new methodologies. As a result of the previous tests, key procedures were defined to cover parametric and generative problems, developing algorithms in textual code (Python), visual algorithms and applying generative algorithms (NSGA-II); capable of creating structures automatically adapting to the designer's criteria. Based on the last stage of the PD and GD procedures, the algorithms for the formulation of the structure were implemented in Block J1, demonstrating the applications and benefits in various tasks such as modeling, loads generation, structural design and software interoperability.