Integration of Data Flows of the Construction Project Life Cycle to Create a Digital Enterprise Based on Building Information Modeling

This study is devoted to the problem of digital transformation in the construction industry. To solve the proposed emerging approach for integrating information flows based on Building information modeling (BIM). This research describes the advanced methodology for creating a unified information model in construction, which combines architectural, design, engineering, cost and depreciation models of a construction object, raises a number of problems of reorganizing business processes at enterprises. The novelty of the research lies in the model of adapted common data environment based on life cycle of a construction project by stages of implementation and emergence of information. The proposed architecture is a platform for intelligent parametric modeling as intelligent CAD, which allows linking all elements of the model "Digital Enterprise".The result of the study is a conceptual mechanism for improving the efficiency of enterprise management processes based on the architectural approach in terms of digitalization of construction. Emerging technology in the study is the architecture of the intelligent decision support system in construction based on 5D BIMtechnology and Digital Enterprise. The main advantage of the proposed approach is the possibility of multiple reuse of information by all participants in the development and implementation of an investment and construction project without changes and distortions of data about the construction object. Keywords — Building Information Modeling, BIM, Digital Enterprise, Common Data Environment, life cycle of construction project, digitalization of construction

Integration strategies for advanced construction technologies in the US AECO industry

Advanced Construction Technologies (ACTs) have fundamentally altered the way the US Architecture, Engineering, Construction, and Operations (AECO) industry operates. Over the past few decades, the US AECO industry has undergone a technological awakening, which promises to improve project quality and efficiency in a multitude of ways. The shift towards technology adoption began with Building Information Modeling (BIM), which for many years struggled to gain acceptance due to a largely ad-hoc integration strategy for organizations. As technologies continue to emerge and develop beyond, and in parallel with BIM, there are no tools available to help evaluate, plan and integrate such advancements in US AECO workflows. A series of semi-structured interviews were conducted with US AECO industry technology experts to establish a cursory list of the factors which impede or promote the successful integration of ACTs. These factors were evaluated, ranked and rated through a Delphi study, conducted with a panel of industry experts who at the time specialized or leveraged ACTs. A novel continuously iterative Delphi platform was deployed to gain the requisite expert input for the importance rating and impact ranking for each of the factors cited as influential in technology integration. The collected data was used to help bridge the identified gap between ACT development and successful integration of ACTs into US AECO industry workflows. Within the context of existing technology integration theories, this study identifies and evaluates factors which influence technological integration success within the US AECO industry. This study begins the process of establishing a foundation of understanding as it relates to meaningful ACT integration.

ANALYSIS OF BIM AND MCDM INTEGRATION IN DESIGN, MANUFACTURING AND CONSTRUCTION STAGES

The article analyses the possibilities of synergy between MCDM (Multi Criteria Decision Making) methods and BIM (Building Information Modeling) technologies in order to identify a better integration way and propose a strategy for integrating MCDM and BIM. The two ways of integration were identified after performing literature analysis – the linear one and integrated one. The stages of the integration strategy were discussed and a key strategy for improving the synergy between MCDM and BIM was found. The key strategy intended for masonry veneer and masonry structures in design, manufacture and construction stages to make a decision.

An Artificial - Intelligent - Based System to Automate the Design of Complex Mechanical Products

Over the last decades, there has been growing pressure on industrial companies to offer to their costumers products with high quality, in the minimum deadlines and with reasonable prices. Since the design phase plays a key role to achieve these difficult goals, many traditional, DFX (Design For X) and integrated approaches have been proposed. However, many limits are still present. Thus, the main objectives of this work were first to identify these limits and then to overcome them by proposing and developing an automated framework for integrated product design. In this work, we automated the integrated DFMMA (Design For Materials, Manufacturing and Assembly) approach by developing an architecture composed of four levels, namely: the Common Information Modeling Level, the Selection Systems Level, the Inference and Computation Level and finally the Application Level. The proposed automated system is based on ontologies, on the CBR (Cases Based Reasoning) and the RBR (Rules Based Reasoning). The first main result obtained throughout the contributions consists on the integration of Manufacturing process selection, Assembly solution selection and materials selection in one integrated design approach. The second main result obtained consists on the exploitation of all the previous design studies developed by the design team and the ability to reuse the designers experience throughout the case based reasoning used in the proposed architecture. Another important result consists on the formalization and the automation of the execution of the design rules and the ability to infer new results and to check inconsistencies in the developed product using the data and information modeled in the ontological model and throughout the Cases Based Reasoning that we have incorporated in the developed approach. In this way, the redundancy in work and the difficulties faced in case of having a high number of design alternatives are avoided. Consequently, the product quality increases and wastes of time and money decrease. Finally, to validate the functioning and the efficacy of the proposed DFMMA system, an application on the design of a complex mechanical product is developed in the end of the work.

INTEGRATION OF BIM AND MOBILE AUGMENTED REALITY IN THE AECO DOMAIN

BIM (Building Information Modeling) is increasingly present in a wide range of applications (architecture, engineering, construction, land use planning, utility management, etc.). BIM allows better management of projects through precise planning, communication and collaboration between several stakeholders as well as facilitating the monitoring of project operations. The emergence of Augmented Reality (AR) technology allows the superposition of (2D, 3D) information directly on the physical world, so generating immersive, interactive and enriching experiences for the user. To take advantages of BIM and AR potential in the interaction and the intuitive management in AECO (Architecture, Engineering, Construction and Operation) projects, we propose a BIM-based AR workflow through an application called "EasyBIM". This latter allows access and interaction with a BIM model through functionalities for measurement, data consultation, collaboration, visualization and integration of information from sensors. The application is developed for mobile platforms (tablet, smartphone), and has as input an IFC file (Industry Foundation Classes). Promising test results show that the developed solution can be easily integrated into a BIM context for several use cases: marketing, collaboration, site monitoring, facility management, etc.

Value Proposition for Enabling Construction Project Innovation by Applying Building Information Modeling

Building information modeling (BIM) is evolving as a digital infrastructure model for innovation in the construction field. The innovation-enabling potential of BIM has been highly neglected in the literature. This study explores the innovative potential of BIM, specifically its value in enabling construction innovation (CI). Through reflective research and a literature review, the relationship between BIM and CI is redefined, BIM-CI’s value spectrum and underlying mechanisms are mapped and their required resources and activities are illustrated. The results indicate that different BIM applications provide various proinnovation environments wherein CI may flourish. Extra attention should be paid to BIM-enabled systematic collaborative innovation and digital innovation ecosystems with BIM as the core infrastructure that integrates the physical space with cyberspace to accelerate radical innovation. This study extends BIM management research by considering digital innovation and providing a new perspective for CI management theory and practice. The results will provide academics with a solid point of departure for developing relevant research and serve as a reference for practitioners who intend to utilize BIM for efficient innovation in construction projects.