scispace - formally typeset
Open AccessJournal ArticleDOI

Construction 4.0: what we know and where we are headed?

Ankan Karmakar, +1 more
- 26 Jul 2021 - 
- Vol. 26, Iss: 28, pp 526-545
TLDR
In this paper, a state-of-the-art literature review is performed to summarize the knowledge advancement in construction 4.0, and a layered conceptualization spanning across project lifecycle utilizing the people-process-technology dimensions is presented to summarise the current understanding of Construction4.0.
Abstract
The last decade has witnessed unprecedented changes in the technologies and processes involved in the construction industry. The philosophies associated with Industry 4.0 now reverberate in construction 4.0. Digitalization and interconnectivity in the cyber-physical systems of the sector are at the heart of such transformation. Construction 4.0 brings to the table a plethora of technologies and associated processes over the construction project lifecycle. The current study performs a state-of-art literature review to summarize the knowledge advancement in construction 4.0. A layered conceptualization spanning across project lifecycle utilizing the people-process-technology dimensions is presented to summarize the current understanding of Construction 4.0. The cyber-physical space is classified into the physical, digital tool, data, and core data security and interoperability layers. The inter-layer and intra-layer interactions and information flows are then conceptualized based on the extant literature, including the human interaction and interventions. The people-process-technology dimensions were discussed across the project lifecycle through interactions in these layers. It is observed that Construction 4.0 is set to be driven by data creation, data flow, data transformation, and data storage across the project lifecycle to ensure a collaborative environment across the stakeholders who interact and associate with different layers of Construction 4.0. The article finally presents challenges with the current formulations and explores ways to further our knowledge in the area.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Construction 4.0, Industry 4.0, and Building Information Modeling (BIM) for Sustainable Building Development within the Smart City

TL;DR: This paper is the first to reveal the five keyword-constructed schemes, research hotspots, and development trends of the smart city, Construction 4.0, Industry 4.1, BIM, and sustainable construction, from 2014 to 2021 (a period of eight years).
Journal ArticleDOI

An investigation for integration of deep learning and digital twins towards Construction 4.0

TL;DR: In this article , the authors investigate the potential integration of deep learning and digital twins (DT) to facilitate construction 4.0 through an exploratory analysis, and validate that DL integrated DT model facilitating Construction 4. 0 will incorporate cognitive abilities to detect complex and unpredictable actions and reasoning about dynamic process optimization strategies to support decision-making.
Journal ArticleDOI

Digitalization and automation in construction project's life-cycle: a review

TL;DR: In this article , a state-of-the-art literature review is presented with the aim of determining the genesis and current levels of digitalization and automation, as well as their interoperability, among the main construction projects' life-cycle phases.
Journal ArticleDOI

Selection of Circular Proposals in Building Projects: An MCDM Model for Lifecycle Circularity Assessments Using AHP

Moh Fairuz Abadi, +1 more
- 28 Jul 2022 - 
TL;DR: In this paper , the authors present a model using the Analytic Hierarchy Process (AHP) for circular proposal selection in building projects based on a previously validated conceptual framework, which involves twelve circularity indicators (CIs) classed under five themes relevant to building lifecycle stages.
Journal ArticleDOI

Digital technologies and data-driven delay management process for construction projects

TL;DR: In this paper , the authors present a new process-based framework for using technologies with a data lifecycle viewpoint, which can support a high volume of data flow acquired from multiple resources during the construction project life cycle.
References
More filters
Journal ArticleDOI

Internet of Things for Smart Cities

TL;DR: This paper will present and discuss the technical solutions and best-practice guidelines adopted in the Padova Smart City project, a proof-of-concept deployment of an IoT island in the city of Padova, Italy, performed in collaboration with the city municipality.
Journal ArticleDOI

Beyond the hype

TL;DR: The need to develop appropriate and efficient analytical methods to leverage massive volumes of heterogeneous data in unstructured text, audio, and video formats is highlighted and the need to devise new tools for predictive analytics for structured big data is reinforced.
Journal ArticleDOI

The Internet of Things (IoT): Applications, investments, and challenges for enterprises

TL;DR: Five IoT technologies that are essential in the deployment of successful IoT-based products and services are presented and three IoT categories for enterprise applications used to enhance customer value are discussed and the real option approach is illustrated.

Artificial Intelligence: A Modern Approach

TL;DR: The field of Artificial Intelligence (AI) as discussed by the authors is one of the most popular areas of research in computer science and has been widely recognized as a promising area of research for many years.
Related Papers (5)