This paper presents a new lean BIM-based production system to face productivity deficiencies in construction. To prove whether the current situation can be improved, the aforesaid production system is designed to assess the hypothesis that a true integration of BIM functionalities with the Last Planner System will contribute to a more efficient project delivery. Although beneficial synergies of BIM and Lean have been widely described and acknowledged in research, previous work has not fully addressed the stated hypothesis, since it has only provided frameworks on how to use BIM and the Last Planner System in parallel. The core of the here-proposed lean BIM-based production system is the linkage of BIM objects at data processing level with the Last Planner System routines making use of digital Kanban boards. The production system will also be extended by cost control aspects of the Earned Value Management approach and thus represents the basis for a complete construction management system with respect to quality, schedule and costs. This paper discusses the first concepts of the new lean BIM-based production system and introduces an information system integration model as a starting point for future software development activities.
In order to efficiently transform business processes (such as product design, product engineering, production, logistics, sales, deliveries, etc.) into digitally automated processes, new concepts have been introduced in both the manufacturing and construction industries. Under the term Industry 4.0, promising possibilities for high-performance production processes are emerging based on e.g., digital twins and cyber-physical systems. However, the construction industry lags behind in adapting these ideas, and is still facing severe productivity deficits. This paper addresses these deficits by assessing the hypothesis of Building Information Modeling—as the digital twinning methodology in construction—representing a key driver for digital automation and thus enabling more productive processes. To this end, we apply a design science research approach to develop artefacts using computational methods for the automation of business processes in a configure-to-order industry partner. The evaluation is done in the context of a pilot project together with this industry partner. The findings obtained in the pilot project revealed time savings in the phases of bid estimation and work preparation. Based on the findings, the applicability and utility of the suggested approach are discussed and allow for the conclusion that Building Information Model data can usefully streamline and automate many processes at the interface between design and production, if structured and preprocessed purposefully.
Many researchers have stated that lean and building information modeling (BIM) have positive synergies. This integrative literature review aims at exploring this body of knowledge within the scope of combinations of BIM and the Last Planner® System, as an important Lean construction method, in the phase of construction execution. The research motivation is to find out whether a comprehensive understanding of how to take advantage of these synergies exists. Eventually, the question arises of how to condense this understanding—if existing—into a robust conceptual model for integration. As a theoretical backbone, we will make use of the original BIM-Lean interaction matrix. The hypothesis is that new BIM functionalities have been evolved since the first formulation of this interaction matrix almost 10 years ago. These new BIM functionalities cause new interactions with existing lean principles. We will focus on interactions that refer directly or indirectly to production planning and control and use them to find the most relevant literature for this review. Within the content analysis, as a part of this review, we focus on existing conceptual models and frameworks for integration of BIM and the Last Planner® System and reveal their shortcomings. Eventually, we will propose a new conceptual model.
The construction industry is still lagging behind other industries in adopting new technologies for monitoring of performance and progress of construction works. In other industries like production or automotive such processes are already partly or fully automated. To improve effectiveness of construction scheduling and quality of works, this research proposes a BIMbased augmented reality application for site managers so-called AR4C. This application is combining Location-Based Management System and Building Information Modeling (BIM) to visualize in Augmented Reality key information related to progress and performance of construction works superimposed on the real world. This paper describes methodologies and technologies implemented in the AR4C application to control effectively construction works.
Construction projects are often delivered over time and over budget. Deviations are often identified only during the finishing stages when improvement actions to recover from delays become limited. Building Information Modeling (BIM) will transform the construction industry to come in line with more digitally developed industries like manufacturing. However, up to now, BIM has been mainly used to support the information flow of the construction design process and limited effort has been invested to investigate how it could support the management of the construction execution process. The paper shows how BIM can be used to schedule and monitor non-repetitive construction tasks. The proposed approach shows how important information needed for scheduling (like the number of pieces to be installed in a certain location) could be extracted from the BIM model. Moreover, it shows how BIM could support a quantitative monitoring of the reached progress and how this information can be displayed in an intuitive way to the user. The approach was developed during the project COCkPiT (Collaborative Construction Process Management) and especially by collaborating with a Heating Ventilation and Air Conditioning (HVAC) company using as a case study a medium sized hospital construction project located in Northern Italy.
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