Automated design and modeling for mass-customized housing. A web-based design space catalog for timber structures

Bianconi, Fabio; Filippucci, Marco; Buffi, Alessandro

doi:10.1016/j.autcon.2019.03.002

Cited by 75 publications

(34 citation statements)

References 32 publications

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“…This review, though we are not claiming it to be exhaustive, has provided an overview of Industry 4.0 concept in construction industry in the last five years. The selected papers revealed the active collaboration between BIM with technologies from Industry 4.0 (Figure 7), such as the use of BIM to support design decisions for mass customization production [54], structural health monitoring (SHM) using open BIM [43], allowing schedule monitoring in real time [50], smart steel bridge construction enabled by BIM and IoT [51], and a digital platform that uses augmented reality (AR) combined with BIM to provide workers with relevant information in real-time [58]. However, the pattern of topics discussed are broad and conceptual.…”

Section: Concept Matrix Inmentioning

confidence: 99%

“…The application of these technologies in the construction industry could not possibly be realized without the digitization of data from BIM as the collaboration medium. For example, design automation combining the BIM model with advanced simulation tools and genetic algorithms was able to mass-customize housing construction [54]; the use of BIM in the navigation core provided an augmented reality navigation system to navigate pathways in building [47]; the use of Bluetooth Low Energy (BLE) Beacons, Extended Markup Language (XML) formatted informative BIM, and BIM model on the Unity platform provided workers with relevant information in real-time based on their current position on the construction site through augmented reality [59]; and BIM, IoT, sensors, data computing, and advanced analytics tools were used to simulate, re-simulate, and map the simulation for steel bridge performance monitoring as the core enabling the technology system [51]. Automated real-time construction technologies would help the construction industry to improve the productivity and quality of a project throughout its lifecycle.…”

Section: Cluster Technologymentioning

confidence: 99%

“…Management in the Industry 4.0 era with BIM as its core has slowly been revolutionized, as shown by higher performance and good quality in construction practices. The targeted papers have demonstrated the successful implementation of Industry 4.0 technologies by achieving real-time project management [49], smart technology management [51], smart indoor navigation management [47], creating a digital twin for facility management [53], road construction management [50], as well as mass-customization of design management [54]. With the clear distribution of managerial framework for the integration of BIM and Industry 4.0, the construction industry is able to capture the benefits from BIM and Industry 4.0 from a management perspective and is expected to develop and deploy more technologies to enhance productivity.…”

Section: Cluster Managementmentioning

confidence: 99%

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Industry 4.0 for the Construction Industry—How Ready Is the Industry?

et al. 2019

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Technology and innovations have fueled the evolution of Industry 4.0, the fourth industrial revolution. Industry 4.0 encourages growth and development through its efficiency capacity, as documented in the literature. The growth of the construction industry is a subset of the universal set of the gross domestic product value; thus, Industry 4.0 has a spillover effect on the engineering and construction industry. In this study, we aimed to map the state of Industry 4.0 in the construction industry, to identify its key areas, and evaluate and interpret the available evidence. We focused our literature search on Web of Science and Scopus between January 2015 and May 2019. The search was dependent on the following keywords: “Industry 4.0” OR “Industrial revolution 4.0” AND TOPIC: “construction” OR “building”. From the 82 papers found, 20 full-length papers were included in this review. Results from the targeted papers were split into three clusters: technology, security, and management. With building information modelling (BIM) as the core in the cyber-physical system, the cyber-planning-physical system is able to accommodate BIM functionalities to improve construction lifecycle. This collaboration and autonomous synchronization system are able to automate the design and construction processes, and improve the ability of handling substantial amounts of heterogeneity-laden data. Industry 4.0 is expected to augment both the quality and productivity of construction and attract domestic and foreign investors.

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Section: Concept Matrix Inmentioning

confidence: 99%

Section: Cluster Technologymentioning

confidence: 99%

Section: Cluster Managementmentioning

confidence: 99%

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Industry 4.0 for the Construction Industry—How Ready Is the Industry?

et al. 2019

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“…This gap could be filled by the increased use of BIM, which is fundamentally changing processes in the whole building lifecycle. In fact, BIM has already been successfully integrated within decision support systems for applications in the field of design and planning [42,53,54,95].…”

Section: Discussionmentioning

confidence: 99%

Decision Support in Building Construction: A Systematic Review of Methods and Application Areas

2020

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Decision making is a relevant task in the building construction sector, and various systems and methods for decision support are emerging. By means of a systematic literature review, this article identifies the methods for decision making in building construction and the lifecycle phases for which decision support systems are proposed. The selected articles are analyzed and grouped according to the adopted decision-making methods and the defined lifecycle phases. The findings show that multiple criteria decision analysis is the most used method for decision support in building construction and that the construction phase is the most addressed phase within the relevant existing works. The findings related to the construction phase are further refined by grouping the articles into application areas and by reviewing in detail the proposed methods therein. The scarce availability of data and project cases is identified as the most common barrier for the successful development and implementation of decision support systems in the building construction sector. This work provides a basis for scientists and practitioners for identifying suitable methods for decision-making support in a specific lifecycle phase of a building.

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“…Currently, many literatures has shared new knowledge on how ACE has been affected, such as Building Information Modelling [2], production process of architecture element in the factory, or building construction method in the field [3]. Illustration of how Industry 4.0 would change the shape of the city to be smarter, equipped with automation services, sensitized with sensors and optimize with adaptive big-data has been described in various publication [1].…”

Section: Introductionmentioning

confidence: 99%

Predicting Future Urban Housing Frontage Typology: Building Façade as the Interface of Transport, Logistics, and AEC 4.0

Wismadi¹

2020

Proceedings of the EduARCHsia &Amp; Senvar 2019 International Conference (EduARCHsia 2019)

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Online parcel delivery service is one of the emerging evidences of Society 4.0 formation. In the near future, with increasing road traffic volume, night delivery to the houses become commonly found. The service is combined with e-money apps, IoT for logistics delivery compartment, and building automation that eliminate human interaction. This mechanism might lead to the evolution of housing façade as interface between secured interior and publicly accessible exterior environments. This trend presents a contradiction problem in designing façade of the houses, in which to ease the parcel delivery the interior must be as close as possible with the road; however, it might break the building set-back regulation. To predict the future typology of housing façade and frontage area a model solution of Contradiction Matrix from Altshuller was applied to investigate possible general solution to derive building typology.Based on the matrix analysis three Inventive Principles have been recommended, those are Asymmetry, Dynamics, and Another Dimension. For each principle a set of specific design was generated and evaluated based on the cost of parcel delivery, cost of double handling process and cost of regulation. Finally, the least cost solutions were used to predict the most acceptable housing frontage typology.

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Automated design and modeling for mass-customized housing. A web-based design space catalog for timber structures

Cited by 75 publications

References 32 publications

Industry 4.0 for the Construction Industry—How Ready Is the Industry?

Industry 4.0 for the Construction Industry—How Ready Is the Industry?

Decision Support in Building Construction: A Systematic Review of Methods and Application Areas

Predicting Future Urban Housing Frontage Typology: Building Façade as the Interface of Transport, Logistics, and AEC 4.0

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