## 5 Directions of Further Research  
Future research will focus on the deep interintegration of three key methodologies: BIM, MBSE, and Analytical Hierarchy Process. The intersection of these methods is an area of active research effort to improve the management, design, and operation of complex systems, including buildings and infrastructure. The progressive integration of BIM, MBSE, and the hierarchy analysis method is aimed at creating synergies between them. This will allow you to effectively structure projects, manage their life cycle, and make informed decisions based on many aspects. This line of research promises to significantly improve the way complex system processes are integrated and optimized, with the potential to greatly increase the efficiency and reliability of engineering solutions in the future. This study on integrating Building Information Modeling (BIM) and Model-Based System Engineering (MBSE) into the management of industrial infrastructure offers valuable insights for future research in various domains. Here are some practical implications and potential research avenues that need to be considered:  
* Interdisciplinary Collaboration: The integration of BIM and MBSE often requires collaboration between professionals from different backgrounds, including civil engineering, systems engineering, and information technology. Future research should explore effective strategies for promoting interdisciplinary collaboration and knowledge exchange in industrial infrastructure projects. * Standardization and Interoperability: Ensuring that BIM and MBSE systems can communicate effectively is a key challenge. Future research can focus on developing and evaluating standardization protocols and interoperability standards that facilitate seamless data exchange between these two technologies. * Data Management and Integration: Managing large datasets generated via BIM and MBSE systems is critical. Research can delve into innovative data management techniques and tools, including data storage, version control, and data integration strategies, to optimize information flow in industrial infrastructure projects. * Cost-benefit Analysis: Investigating the cost-effectiveness and return on investment of integrating BIM and MBSE in industrial infrastructure management is essential. Future studies should analyze the long-term financial implications of this integration and identify areas where cost savings and efficiencies can be realized. * Technology Adoption and Training: Research should explore the factors affecting the adoption of BIM and MBSE in the management of industrial infrastructure. This includes assessing the training needs of professionals and the development of effective training programs to ensure the workforce is well prepared to utilize these technologies. * Risk Management: Assessing the potential risks and challenges associated with the integration of BIM and MBSE is crucial. Future research can investigate risk mitigation strategies and contingency plans to address issues that may arise during implementation. * Project Lifecycle Management: Future studies should explore how BIM and MBSE can be applied throughout the entire project lifecycle, from design and construction to operation and maintenance. This involves investigating the benefits of continuous information flow and decision support across all phases. * Performance Measurement and Optimization: Developing performance metrics and methodologies for assessing the effectiveness of BIM and MBSE integration in improving the management of industrial infrastructure. Research can also focus on optimization techniques to enhance decision-making based on real-time data. * Sustainability and Environmental Considerations: Investigating how the integration of BIM and MBSE can facilitate sustainable practices and environmental impact reduction in industrial infrastructure projects. This includes evaluating how these technologies can support energy-efficient designs and resource conservation.