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

Abstract

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.

1. Introduction

The world has never evolved as fast as in the last couple of decades. To provide context, the global construction industry has been affected by the world’s urban population rising by 200,000 people per day [1]. The demand for affordable housing has never been higher [2], affected by a concomitant need for social, utility, and transportation infrastructure. Such challenges have ensured that the construction industry continues to review and revamp itself. The changes that occur here impact on society as a whole—the construction costs will fall, and the environment will benefit. This is achieved by efficiently using scarce resources and/or ensuring that buildings are being constructed with eco-efficiency in mind [3]. This positively impacts the economy by ensuring that the global infrastructure gap is narrowed, and economic development is boosted overall. During the last couple of decades, most industries have undergone an evolution and have instilled product and process innovations into the core of their operations. The engineering and construction sector has not kept pace in terms of technological opportunities that can help improve production and productivity, resulting in a stagnation of labor productivity as well [4]. Several internal and external challenges are responsible for this situation, including the industry dealing with consistent fragmentation, trouble recruiting a workforce with the right talent, insufficient links to contractors and suppliers, and inadequate transfer of knowledge from one project to another [5]. Despite the industry’s vast potential, increasing efficacy and productivity can only result from digitalization, new techniques for construction, and innovations. Tools such as three-dimensional (3D) scanning, building information modelling (BIM), drones, and augmented reality have all reached market maturity [6]. By incorporating these innovations, firms can exploit them to increase productivity level, safety, and quality, and improve project management. To use this potential, a strategy must be devised for concerted and committed efforts across many different areas, including operations, technology, personnel, regulation, and more.

The fourth industrial revolution 4.0 or Industry 4.0 has introduced digital technologies, sensor systems, intelligent machines, and smart materials to the construction industry where BIM has become the central repository for collating digital information about a project [5,7]. BIM is an ideal stage for the development of powerful and innovative applications for the construction industry by providing an additional layer of data that are able to interact and collaborate in real time throughout the project life cycle [8]. The innovation of BIM manages computational data for improving construction efficiency and economy [9]. With open BIM, existing construction management tools can be integrated with BIM to extend its capabilities in the construction ecosystem [10]. BIM has been widely accepted in the construction industry [11] though not many firms have taken full advantage of its potential despite the investment in BIM being proven to be well worth the cost of implementation to organizations [12]. Therefore, we decided to examine the present status of BIM in the Industry 4.0 in the context of the construction industry to identify evidence on the integration of BIM with digital technologies such as intelligent machines, sensor systems, and smart materials. To achieve our goal, we conducted a bibliometric mapping study using a scoping review technique to discuss the current trend of Industry 4.0 in the construction industry to identify the patterns of existing research in the aforementioned context, identify gaps in the research, and provide suggestions for future research directions.

2. Background

Humanity has had a significant impact on the industrial landscape, which includes the construction industry [13]. The basic technological revolution elements can be divided into three aspects, material, energy power, and control technology, which determine the operation and power modes of the things designed, thereby determining the ways people feel, the mode and scale of human perception, and the method through which people cognize knowledge, so that a new living method can be constructed [14]. Prior to the 19th century, clear engineering limits defined the building weight, height, and strength due to the limited types of material such as humanmade materials along with those available in nature: timber, stone, lime mortar, and concrete [13]. During the first industrial revolution (from 1760 to about 1830), the mechanical heavy industry experienced exponential growth leading to the creation of a whole host of new building materials. These included glass, cast iron, and even steel—all of which were created by engineers and architects to create buildings no one had ever imagined could exist in terms of form, frame, and functionality [15]. The second industrial revolution (1870–1914) was characterized by dense innovation based on useful knowledge being mapped onto technologies that drove the industry with cheap and more efficient mass production of steel, electricity, telegraphs, and railroads [16]. This revolution drove the construction industry in terms of innovation in architectural design and lightening vertical space [13] alongside new prefabrication technology and the beginning of computer-aided design (CAD) [17], which provided numerous unforeseen opportunities [9].

In the late 1950s, the Internet, information technology (IT), and the availability of personal computers enabled a new digital revolution where mechanical and analogue were digitized and mass production shifted to mass customization [9,18]. The third industrial revolution created a new relationship between architecture and technology that challenged the production industry [19]. Architects started using diffused 3D computer-aided design software as a representational tool to improve precision and expand the limits of their creations [20]. Digital architecture creations require architects to use their perceptual and cognitive abilities to construct digital geometric forms in the computer program using certain underlying computational foundations with action and reaction rules [19]. The complex constructed geometries were able to be constructed using computer numerically controlled (CNC) fabrication processes, which perform the basic controlling functions over the movement of a machine tool using a set of coded instructions [19]. CNC became the connector between 3D-CAD models and computer aided manufacturing (CAM) to produce mass-customization and computerized production of building elements [21]. Complex construction became more economical and seemed unnecessarily difficult to build as the digital fabrication and digital architecture tools evolved and matured [20].

Research on Industry 4.0 is relatively a new topic. The term is well known not only in academia but also in industry [22]. By definition, Industry 4.0 or the forth industrial revolution refers to the Internet of Things (IoT) and the Internet of Services integrated with the manufacturing environment where all industrial businesses around the globe connect and control their machinery, factories, and warehousing facilities intelligently through cyber-physical systems by sharing information that triggers actions [23]. This revolution has challenged the industry by demonstrating the construction digitization potential with the availability of digital data and online digital access that can be used to automatically gather and process electronic data discrete tasks into the value chain [24]. Robotic technologies have been merged with the construction industry, known as construction automation technologies, to create elements of buildings, building components, and building furniture [25]. The integration of BIM into the IT environment enables transitioning the current ‘react to event’ practice to ‘predict the event’ practice [26]. The integration of BIM into cloud computing allows project stakeholders to collaborate in real-time from different locations to enhance decision-making and ensure project deliverability [5]. The IoT, together with BIM, is able to maximize productivity [27], enhance the information flow during a project life cycle [28], optimize energy efficiency [29], and improve security and safety [30,31], as well as the planning, managing, and monitoring of resources [31].

The number of research publications covering topics related to Industry 4.0 and construction have grown tremendously. For example, in the Scopus database, for “Industry 4.0” OR “Industrial revolution 4.0” AND TOPIC “construction” OR “building” search keywords, the number of publications have increased every year. In year 2015, eight papers were recorded. This increased to 27 papers in 2016, 59 in 2017, 163 in 2018, and the numbers is growing in 2019 with 364 published papers as of May 2019. Of these, 196 papers were conference papers, 105 were journal articles, 10 papers were review papers, and the rest were other types of publications. Most of the papers were published in Advances in Intelligent Systems and Computing (17 papers), Procedia Manufacturing (13 papers), IFIP Advances in Information and Communication Technology (11 papers), and IOP Conference Series Materials Science and Engineering (11 papers).

From all the papers found, only three review papers provided significant impact related to Industry 4.0 in construction: “Understanding the implications of digitization and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry” [32], “Industry 4.0 as an enabler of proximity for construction supply chains: A systematic literature review” [33], and “Digital construction: From point solutions to IoT ecosystem” [26]. These three publications provided an overview of the potential of the industrial revolution in the construction industry in term of practice and supply chain. Much room exists for exploration related to this topic in the construction industry as the pattern and structure in this area of study are still in their infancy and conceptual.

A mapping study was used to provide a systematic and objective procedure to identify the pattern and structure of an existing study [34] to discover little evidence likely exists in a broad topic [35] such as construction within Industry 4.0. Our underlying research question was to determine how extensive the studies related to the topic are, with a secondary question to discuss the methodological approaches used in the studies to understand the movement of the topic. The objectives of this systematic review were (1) to identify, assess, and analyze the published studies to understand the prevalent patterns and structures in existing work related to Industry 4.0; (2) to identify the gaps in this topic; and (3) to propose a framework that links the current research topics to future research directions. With these objectives, we identified the most relevant authors, the topics that have already been covered, and, finally, potential future research directions. This overview will help researchers understand the current state of the construction industry within the Industry 4.0 era and reduce the digital gap throughout a project life-cycle.

This paper is structured as follows. Section 3 explains the selection of the information resources and information mapping. The next section provides reports and discussion of the results in some fields, knowledge area, authors, and keywords. Finally, Section 5 provides our conclusions and suggestions for future research.

3. Methodology 3.1. Literature Search

In this review-based study, we adopted the bibliometric mapping study method [36] and scoping review technique [37] to provide a systematic and holistic review of Industry 4.0 and the construction industry and the two are linked. We collected bibliometric studies of papers published from 2015 to May 2019 in Web of Science and Scopus. The following keywords were used for the search: “Industry 4.0” OR “Industrial revolution 4.0” AND TOPIC “construction” OR “building” the result obtained as listed in Table 1 and Table 2.

The methodological framework introduced by Arksey and O’Malley involves five stages of research flow. First, the research questions are outlined, then appropriate research work is found, and then the process of selection occurs. Subsequently, the data are charted, after which information is collated and summarized, and the results are reported [37]. The flow diagram in Figure 1 demonstrates the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2009) flow of articles from search to final selection.

A total of 547 papers related to Industry 4.0 studies on the construction industry were identified, with 183 papers and 364 papers on Web of Science and Scopus, respectively, with keyword search “Industry 4.0” OR “Industrial revolution 4.0” AND TOPIC “construction” OR “building. An additional 7 papers were found in Web of Science using the snowballing method. Manual scoping was required to finalize the desirable papers due to the broad keyword search and inability to refine search by specific subject areas and keywords in the database. Almost all the works identified were false positives: they contained the right properties; however, the content therein had no relevance to the topic under discussion. Once the unrelated works were eliminated through the process of keyword screening, a total of 285 papers remained for further processing. The removal of duplicated works eliminated 123 papers. After the final manual screening of abstracts, 82 papers were eligible for full paper assessment and only 20 full-length papers were assessed and synthesized. 3.2. Data Extraction and Study Quality Evaluation Eligible work was sorted by researchers who had independently reviewed the studies. Every paper was examined in terms of the following elements: the country of publication, title, the author(s), and publication type. For a study to be chosen for further review, it had to meet the following specific set of criteria:

(1) Published until May 2019,

(2) Focusing on the construction industry,

(3) Dealing with questions concerning technology adoption,

(4) Discussing the Industry 4.0 trends, opportunities, and challenges for the construction industry,

(5) Discussing the innovative approaches for managing operational processes of Industry 4.0 for the construction industry, and

(6) Written in English.

Publications were excluded if the following criteria applied:

(1) Focusing on the specification and description of a particular condition, for example, “Industry 4.0 for construction industry in circular economy” or “smart manufacturing”;

(2) Focusing on specific technology, for example, “smart metering”, “measuring application”, and “human behavior sensing”;

(3) Discussing a specific solution;

(4) Written in a language other than English;

(5) Inaccessible papers; or

(6) Not having BIM as its core subject that link to Industry 4.0.

4. Results

We started with a broader theme to identify, assess, and analyze the published papers to discover the structure and patterns for the query “Industry 4.0” OR “Industrial revolution 4.0” AND TOPIC: “construction” OR “building”. At this stage, the identified papers indicated that these were the most popular keywords used for Industry 4.0 that could be clustered into at minimum three clusters, as illustrated in Figure 2 and Figure 3.

Figure 2 shows the most co-occurring keyword search related to “Industry 4.0” OR “Industrial revolution 4.0” AND TOPIC “construction” OR building” in Web of Science with the minimum number of occurrence of keywords being at least five occurrences. From 490 keywords, 13 met the threshold. For each of the 13 keywords, the total strength of the co-occurrence links with other keywords was generated. Figure 2 shows the most co-occurring keyword search related to “Industry 4.0” OR “Industrial revolution 4.0” AND TOPIC “construction” OR “building” in Scopus with the minimum number of occurrence of keywords being at least five occurrences. From 3633 keywords, 197 met the threshold. Only the 30 strongest keywords were selected.

For each of the selected keywords, the total strength of the co-occurrence links with other keywords was generated. Only the keywords with the greatest total link strength were selected. Co-occurrence is the term used to describe the proximity of keywords in the title, abstract, or keyword list in publication [38] to find connections so that the research topic can be identified [39]. The link indicates the strength of their occurrences.

Table 3 and Table 4 show the available cluster of the co-occurrence keywords and strongest occurrences from the selected keyword search in Web of Science and Scopus, respectively. Table 5 and Table 6 show the total link strength of the linked keywords to the keyword search. Industry 4.0, Management, Internet, Internet of Things, and System were the major keywords in Web of Science; Industry, Application, Internet, Construction, Environment, and Data were the major keywords in Scopus. These tables show that using the keyword search “Industry 4.0” OR “Industrial revolution 4.0” AND TOPIC “construction” OR “building”, the keyword Industry 4.0 co-occurred 43 times, Management co-occurred 14 times, Internet co-occurred 8 times, Internet of Things co-occurred 10 times, and System co-occurred 8 times in Web of Science. Industry 4.0 had 11 links that held the strongest links of all keywords. It was linked to all the keywords, forming the core of every available keyword. In Scopus, Industry co-occurred with the keywords search for 250 times, Application co-occurred 51 times, Internet 49 times, Construction 48 times, Environment 46 times, and Data 41 times.

Table 7 and Table 8 show the total link strength of the keyword Industry 4.0 with its linked keywords. In Web of Science, keyword Industry 4.0 was linked to Management, Internet, IoT, System, Augmented Reality, Innovation, System, Cyber-Physical System, Design Performance, and Small Factory. Construction Industry, Construction, Digital Transformation, Innovation, Digitalization, Factory, Automation, Data, Internet, Sensor, IoT, Thing, Environment, and Application were the keywords linked to the Industry 4.0 keyword in Scopus. Keywords that hold higher strength with the linked keywords show how tightly these keywords are networked together. For example, keywords Data and Internet have the strongest link to keyword Industry 4.0. This means that keywords Data and Internet are significantly related to Industry 4.0 as data are the proverbial new oil in the digital era and are only useful used in real time and are exchangeable with other applications using an Internet connection.

From all the keywords search findings, we conclude that all the keywords fall under one of three clusters: technology, security, and management cluster (Figure 4). Note that these keywords have highest total link strength, and other keywords that related to Industry 4.0 and the construction industry were ignored. The first cluster includes a wide range of technologies available in Industry 4.0; the second cluster deals with cybersecurity used to protect systems, networks, and programs from digital attacks, unauthorized access, changing, or destroying sensitive information, and others; and the third cluster focuses on the management issues in Industry 4.0 in the construction industry. These clusters are further explained in the discussion section. This clustering helped us to find patterns in the literature from the concept matrix (Table 9 and Table 10).

Concept matrix in Table 9 and Table 10 elaborate upon the topic discussed by the targeted papers. The pattern in the table shows that the topics focused more on the possible application of Industry 4.0 for the construction industry from a managerial aspect and less on the application of technology and security. The pattern also shows a lack of studies from the legislative perspective and cyber physical systems under cluster security for Industry 4.0 within the construction industry.

The contents of the keyword search “Industry 4.0” OR “Industrial revolution 4.0” AND TOPIC “construction” OR “building” were analyzed after the first keyword and abstract inspection. Then, we examined the selected papers and their citations to further evaluate a particular author’s and publication’s contributions. The number of citations increased drastically in 2018 both in Web of Science and Scopus, which indicates the increase in the interest in and the value of this research topic (Figure 5 and Figure 6). The papers most frequently cited are listed in Table 11.

A detailed description of the targeted papers that concentrated on BIM as its core subject that link to Industry 4.0 is provided in Table 12, which lists the main objective, methodology used, findings, and the limitation of each paper.

5. Discussion 5.1. State-Of-The-Art Industry 4.0 in the Construction Industry

Whereas the first industrial revolution introduced mechanical power, the second industrial revolution lightened up the industry, and the third industrial revolution digitized the information and production [15,16,19], Industry 4.0 has amalgamated the physical world with the information era directed by the cyber-physical system approach [24]. Industry 4.0 is also known as “smart manufacturing”, “industrial internet”, or “integrated industry”, which has shifted the value chain of organization and management across the lifecycle of products by integrating complex devices, machines, and networked sensors and software, deployed to predict, control, and plan for better business and societal outcomes [60]. The combination of these digital innovations is collectively called the Internet of Things (IoT) in the cyber-physical system, which are able to meet new emergent needs and provide capabilities that instigate the next evolution of society and its organization or institution [26] and transform how products are designed, fabricated, used, operated, maintained, and serviced [61]. Robotic technologies have been merged with the construction industry, known as construction automation technologies, to create elements of buildings, building components, and building furniture [25].

Industry 4.0 has challenged the construction industry by providing a glimpse of the construction digitization potential with the availability of digital data and online digital access that automatically gather and process electronic data into the value chain on discrete tasks [24]. BIM (within the planning domain), as the center of construction digitization together with Industry 4.0 (production domain), is able to close the digital gap that still exists and sustain the impact on future building processes [59]. The innovation in and approaches to construction automation are still in their infancy [62] and not fully employed as the technical aspects of the available technologies are still being investigated though some technologies have reached maturity, such as BIM, cloud computing, mobile computing, and modularization [32]. The fact that construction projects are becoming increasingly complex despite construction being a flat market for the previous five decades requires Industry 4.0 as a solution for a new business model [24,25]. This has occurred because, currently, the construction industry has one of the lowest capital investments as well as low capital intensity [25] with the lowest R&D intensity [32] compared to other sectors despite being a major contributor to the employment and economy of many countries [63]. The fragmented supply chain of the construction industry, which includes several small- and medium-sized enterprises (SMEs), limits the ability to invest in innovative technologies [33]. Another reason behind the slow adoption is because the gap between construction and manufacturing is relatively huge though both industries are categorized into the same group and work together [24]. The unavailability of a dedicated process change strategy, dedicated implementation plan, and business strategy alignment have also contributed to the slow adoption. Since Industry 4.0 creates value that transforms the overall business strategy in the construction industry, there is a need to propose some strategies for implementation. With the capability to automate both design and manufacturing processes and the possibility of handling a heterogeneous and significant amount of information, Industry 4.0 is expected to be able to improve the quality and productivity of construction and attract domestic and foreign investors.

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. The targeted papers only mention the benefit of Industry 4.0 to the construction industry conceptually. A detailed study should be completed to understand the benefits brought by Industry 4.0 to the construction industry. In addition, studies are lacking on management processes for overall project life cycle as well as the operation, and tactical and strategic planning in this collaborative and autonomous synchronization system. Studies in this area are needed in order to transform the construction network and construction economy and to integrate BIM with Industry 4.0 technology. The relationship of Industry 4.0 as the production domain with BIM as the planning domain acts as the core structure of the cyber-planning-physical system, influenced by the benefits and challenges of Industry 4.0 for the construction industry is illustrated in Figure 8 [32,59,64]. Figure 7 shows how the physical and cyber domains are controlled by the planning domain.

The bi-directional coordination between the physical domain and cyber domain has the potential to improve real-time progress monitoring and control the construction process, track changes, model updates, and exchange information between the design and operational stages [65]. This is a solution to the infamous construction practice epitomized by the management inefficiencies that result in delays, unforeseen costs, and poor work quality [66]. Since BIM is the core of this bi-directional coordination, its role is to digitize and control the overall process of the construction life cycle. However, for this to be realized, the construction industry needs to accommodate their activities with BIM functionalities, as BIM tools have the potential to be used for managing different activities [67]. BIM functionalities include six components [68]:

(1) Team communication and integration,

(2) Parametric modelling and visualization,

(3) Building performance analysis and simulation,

(4) Automatic document generation,

(5) Improved building lifecycle management, and

(6) Software interoperability with other applications.

The relationship between the cyber-planning-physical system, BIM functionalities, and construction phases is illustrated in Figure 9. However, this improvement requires data transparency, concurrent viewing and editing of a single federated model, and controlled coordination of information access [69]. For this to be implemented, the three main components clustered in the findings need to be highlighted.

5.1.1. Cluster Technology

The first cluster includes a wide range of technologies available in Industry 4.0: internet, automatic equipment, Internet of Things, augmented reality technology, and sensors. This cluster completes the cyber-planning-physical ecosystem by integrating physical machineries and devices, non-physical technologies, and BIM to accommodate BIM functionalities to improve construction activities during different phases. 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. As such, the availability of the Internet and Internet of Things enables the creation of a cyber domain to support these smart technologies in the physical domain with the support of BIM in the planning domain.

5.1.2. Cluster Security

Cluster two includes system, cyber-physical system, data, environment, and legislative aspects that can be categorized as a security cluster in Industry 4.0 for construction. Since Industry 4.0 involves data and systems in a virtual environment, it is crucial to be concerned about the security issues as any wrong information has the potential to have negative consequences [70]. BIM, as the planning domain, possesses rich information and data about the construction life cycle that can easily be extracted and reused [71]. BIM open standards were developed to represent information in a building information model and openly exchange this information [68]. The BIM open standard has been recognized a standardization to exchange information and documents with other partners that previously could not be executed automatically [69]. These standards include the Industry Foundation Classes (IFC), Green Building XML, and the newer Construction Operations Building Information Exchange [68]. Green Building XML is an open schema created to facilitate the transfer of building data stored in BIM to engineering analysis tools. However, most construction professionals are still unaware of the legal implications arising from BIM adoption, although several BIM protocols and contracts have been developed [11]. This requires protection of the ownership of the model through copyright laws [72] to avoid data loss, theft of intellectual property, or misuse during data exchanges within a common data environment [73]. However, security issues faced by Industry 4.0 in the construction industry are not only limited to the ownership of the data in BIM, but also include the system security and data security associated with the cyber-planning-physical system security, software, and hardware. The main objectives of cyber-physical system security are confidentiality, integrity, availability, and authenticity [74]. Without a properly designed cyber-planning-physical system security, the whole system might be at risk of cyber-attacks such DDOS (Distributed Denial of Service), data theft, eavesdropping, and malicious software. The attacker can delete, modify, steal, or exploit the information and resources for inappropriate reasons [75]. Most published papers did not properly cover providing security involved with BIM. Further studies on the cyber-planning-physical system security are required.

5.1.3. Cluster Management

Cluster three included articles related to management related to Industry 4.0, including management, innovation, design, performance, quality, and digital transformation, which are related to BIM functionalities. 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. As the core of the project with a collaborative and autonomous synchronization system, BIM provides a new means to predict, manage, and monitor the quality and performance of the project throughout the whole project life cycle.

5.2. Methodological Concerns

Concept papers have flourished in the Industry 4.0 for construction research topic. This review provided a summary of the current state of the research related to Industry 4.0 in the construction industry, both conceptually and providing an in-depth systematic discussion. From 20 targeted papers, 9 papers were concept papers. Concept papers generally contain a clear description of the research topic, including a summary of what is already known about that topic and the importance of the studies without documenting statistical evidence of the sources for the purpose of attracting readers to understand what the researcher is currently investigating, usually published during earlier stages of research [76]. Four papers were categorized as systematic literature reviews (SLRs), reviewing the trend toward digitization and automation of the construction industry and identifying and classifying the pattern of the research themes. SLRs are used to comprehensively locate and synthesize related research, using organized, transparent, and replicable procedures at each step in the process [77]. Another method of review used in the summarized papers was Longitudinal Literature Review (LLR). LLR is the science of tracing changes by repeatedly measuring the same phenomenon under the same circumstances over a long period of time [78]. This procedure is often used in standard SLR, but is differentiated by the extensive length of the observation period to identify the changing trend and determine how the trend influences the surroundings. This targeted review of these specific types of papers is able to help other researchers to overview what is currently happening to the construction industry due to the dramatic change due to the Industry 4.0 era. The suggestions for future research and the overview of the benefits and challenges of the research topic were rigorously documented using the evidence from the implementation in other industries.

Original research (primary sources) of the targeted papers was limited. Only seven original papers were found, all of which used quantitative research on specific research topics that were not related to each other: augmented reality [58], facility management [53], structural monitoring [43], data management [48], design management [52], and real-time project management [49]. All selected papers discussed experiments and the result obtained. The articles included detailed descriptions of the methods used to produce the results for future verification or knowledge transfer by other researchers.

To obtain an in-depth understanding of the theories underpinning Industry 4.0 for construction, qualitative research is needed as it focuses on “why” rather than the “what” to examine the natural phenomena of the research topic. However, the selected papers contained no qualitative original research, as the research topic is still in its infancy. Qualitative research papers are able to dive deeper into the problem of the research topic by reporting the phenomena from multiple perspectives, identifying many factors involved in the situation, and generally sketch the bigger picture that emerges. This limitation provides an opportunity to further explore this research topic qualitatively as the phenomena is immature due to a lack of theory and a limited number of available studies. 6. Conclusions Findings show a clear, active, and unfinished discussion about Industry 4.0 in the construction industry. This review demonstrates the lack of a complete understanding on what Industry 4.0 entails for the construction industry as the number of original papers are limited. The available studies focused on the concept of the possibility of adopting Industry 4.0 in the construction industry rather than providing a solid theoretical development to realizing the adoption. Most of the papers elaborated upon the existing technologies and how creative innovation can be used to adopt these technologies into different sectors or industries. The selected papers revealed the active collaboration between BIM and technologies from Industry 4.0—how BIM became the agent of collaboration between cyber systems and physical system to complete a cyber-planning-physical ecosystem to accommodate BIM functionalities throughout construction project lifecycles. However, the pattern of topics discussed are broad and conceptual. The targeted papers only conceptually mentioned the benefit of Industry 4.0 in the construction industry and how BIM can possibly be deployed to enhance productivity. Detailed studies on the implementation should be completed to evaluate the potential of Industry 4.0 in the construction industry. In additional, studies are lacking on the management processes of the overall project life cycle as well as the operation, tactical, and strategic planning in this collaborative and autonomous synchronization system. Studies in this area are needed in order to transform the construction network and construction economy and to integrate BIM with Industry 4.0 technology. We are currently moving in the right direction as BIM together with Industry 4.0 are being introduced to the industry, transforming how the industry has been operating for decades, improving the quality and performance of the overall construction life cycle. More qualitative research is needed to explore and understand the issue, challenges, and future direction of these new technologies to allow more experimental design research for realizing BIM and Industry 4.0 in the construction industry.

We discussed the eligibility of the selected papers in our research approach in Section 3.2. However, there is a limitation in this search. We reviewed all publications in Web of Science and Scopus for the past five years. We focused on a wider view of the overall Industry 4.0 component to depict overall mapping. Since the topic Industry 4.0 is relatively new, the extracted data were unable to justify the relatedness of every component. A new search with different keywords from different databases needs to be completed to extend the findings. It may be helpful to perform the same type of analysis with different keywords. This could provide a different perspective and a different aspect from which to understand the trends in BIM in Industry 4.0 in the construction industry.

Future research on collaborative and autonomous synchronization systems with BIM as the core of the structure in the cyber-planning-physical system could fill the gap that we highlighted. It would be interesting to gain further insights into the management scope, especially on the role and responsibility of the stakeholders as well as the operation, tactical, and strategic management in construction companies during different construction phases throughout the construction lifecycle. More analyses and experimentation are required about the changes in working culture in the new construction network. Finally, we think that our contribution provides a resourceful foundation about the collaborative and autonomous synchronization in cyber-planning-physical systems. With the capability to automate both the design and construction processes and the possibility of handling large amounts of heterogeneous data, BIM in Industry 4.0 for the construction industry is expected to improve the quality and productivity of construction and attract domestic and foreign investors.

Figure 1. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram of search process.

Figure 2. The most commonly co-occurring keyword search related to 'Industry 4.0' OR 'Industrial revolution 4.0' AND TOPIC 'construction' OR 'building' in Web of Science, with 183 publications.

Figure 3. The most commonly co-occurring keyword search related to 'Industry 4.0' OR 'Industrial revolution 4.0' AND TOPIC 'construction' OR 'building' in Scopus with 364 publications.

Figure 4. Clustering of the keywords (Source Author's illustration).

Figure 5. Sum of times cited per year of 'Industry 4.0' OR 'Industrial revolution 4.0' AND TOPIC 'construction' OR 'building' keyword from 2014 to 2019 in Web of Science.

Figure 6. Sum of times cited per year of 'Industry 4.0' OR 'Industrial revolution 4.0' AND TOPIC 'construction' OR 'building' keyword from 2014-2019 in Scopus.

Figure 7. Concept of technologies in Industry 4.0 with BIM as its core structure with collaboration and an autonomous synchronization system.

Figure 8. The relationships in the cyber-planning-physical system with BIM as its core. Adapted from previous studies [32,59,64].

Figure 9. Relationship between cyber-planning-physical system, BIM functionalities, and construction phases.

Type	2015	2016	2017	2018	2019
Article	1	7	13	51	10
Review	-	-	1	3	1
Proceeding	7	12	35	40	3
Total	8	19	49	94	14

Type	2015	2016	2017	2018	2019
Article	3	9	23	56	14
Review	1	2	1	2	4
Proceeding	4	16	35	105	36
Total	8	27	59	163	54

Cluster	Keywords
1	Design, Innovation, Internet, Internet of Things (IoT), Systems
2	Augmented reality, Cyber-Physical System, Industry 4.0
3	Management, Performance, System

Cluster	Keywords
1	China, Construction, Construction industry, Digital transformation, Digitalization, Factory, Innovation, Quality
2	Application, Environment
3	Automation, Data, Internet, IoT, Sensor, Thing

Keyword	Cluster	Links	Total Link Strength	Occurrence
Industry 4.0	2	11	53	43
Management	3	11	28	14
Internet	1	9	17	8
Internet of Things	1	10	18	10
Systems	1	7	15	8
Augmented Reality	2	9	15	6
Innovation	1	6	14	6
System	3	6	13	6
Cyber-Physical System	2	7	12	5
Design	1	7	10	5
Performance	3	6	10	5
Small Factory	2	5	11	6

Keywords	Cluster	Links	Total Link Strength	Occurrence
Industry	1	29	2023	250
Application	2	26	901	51
Internet	3	25	618	49
Construction	1	29	350	48
Environment	2	28	672	46
Data	3	28	503	41
Factory	1	26	234	32
IoT	3	25	385	30
Thing	3	24	445	29
Innovation	1	24	294	28
Automation	3	26	313	26
Sensor	3	22	264	23
Quality	1	27	157	16
Digitalization	1	14	94	15
Digital transformation	1	15	135	13
Construction industry	1	23	119	12

Keyword	Total Link Strength
Management	8
Internet	4
Internet of Things	6
System	5
Augmented Reality	5
Innovation	6
System	3
Cyber-Physical System	5
Design	3
Performance	3
Small Factory	5

Keyword	Total Link Strength
Construction industry	29
Construction	78
Digital transformation	31
Innovation	79
Digitalization	25
Factory	75
Automation	61
Data	109
Internet	104
Sensor	59
IoT	69
Thing	65
Environment	98
Application	83

Authors	Clusters
	Technology								Security					Management
Keywords	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O	P	Q	R	S	T
Oesterreich and Teuteberg (2016)	x	x	x	x	x	x	x	x	x	x	x	x	x	x	x	x	x	x	x	x
Dallasega et al. (2018)	x	x	x	x	x	x	x	x	x			x		x	x	x	x	x	x	x
Woodhead et al. (2018)	x	x	x	x	x	x	x	x	x		x			x	x			x	x	x
Theiler and Smarsly (2018)						x	x	x	x		x			x			x	x
Pasetti Monizza et al. (2018)	x					x		x	x	x	x	x		x	x	x	x		x	x
Bianconi et al. (2019)								x	x		x	x				x	x	x	x	x

A. Internet; B. Automation; C. Internet of Things; D. Augmented Reality; E. Construction; F. Application; G. Sensor; H. Digitization; I. System; J. Cyber-Physical System; K. Data; L. Environment; M. Legislative Aspects; N. Industry 4.0; O. Management; P. Innovation; Q. Design; R. Performance; S. Quality; T. Digital Transformation.

Authors	Clusters
	Technology								Security					Management
Keywords	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O	P	Q	R	S	T
Scheffer et al. (2018)					x		x	x			x
Li and Yang (2017)	x		x	x	x	x		x	x		x		x	x	x		x	x	x	x
Dallasega et al. (2016)	x		x			x		x	x	x	x			x	x	x	x			x
Axelsson et al. (2018)		x	x		x			x	x		x			x	x			x	x
Ding et al. (2018)	x		x		x	x	x	x	x	x	x			x	x	x	x	x	x	x
Delbrügger et al. (2018)				x	x	x		x	x		x			x		x	x			x
Trapp and Richter (2018)						x	x	x			x			x	x	x		x	x	x
Pruskova (2019)					x			x	x		x		x	x	x		x		x	x
Correa (2018)		x			x	x	x	x	x	x	x	x		x		x	x		x	x
Hotový (2018)						x		x	x		x	x		x	x	x		x	x	x
Schweigko et al. (2018)				x	x	x		x	x		x			x	x	x		x	x	x
King et al. (n.d.)					x			x			x	x		x	x					x
De Lange et al. (2017)	x		x		x	x		x	x		x		x	x	x	x	x	x	x	x

A. Internet; B. Automation; C. Internet of Things; D. Augmented Reality; E. Construction; F. Application; G. Sensor; H. Digitization; I. System; J. Cyber-Physical System; K. Data; L. Environment; M. Legislative Aspects; N. Industry 4.0; O. Management; P. Innovation; Q. Design; R. Performance; S. Quality; T. Digital Transformation.

Author	Paper Title	No. of Times Cited	Source of Publication
Oesterreich and Teuteberg (2016)	Understanding the Implications of Digitization and Automation in the Context of Industry 4.0: A Triangulation Approach and Elements of a Research Agenda for the Construction Industry [32]	176	Computers in Industry
Baccarelli et al. (2017)	Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study [40]	98	IEEE Access
Shafiq et al. (2015)	Virtual Engineering Object/Virtual Engineering Process: A Specialized Form of Cyber-Physical System for Industry 4.0 [41]	68	Knowledge-Based and Intelligent Information & Engineering Systems 19th Annual Conference, Kes-2015
Dallasega et al. (2018)	Industry 4.0 As an Enabler of Proximity for Construction Supply Chains: A Systematic Literature Review [33]	15	Computers in Industry
Kleineidam et al. (2016)	The Cellular Approach: Smart Energy Region Wunsiedel. Testbed for Smart Grid, Smart Metering and Smart Home Solutions [42]	9	Electrical Engineering
Theiler and Smarsly (2018)	IFC Monitor – An IFC Schema Extension for Modelling Structural Health Monitoring Systems [43]	9	Advanced Engineering Informatics
Nguyen and Lo Iacono (2016)	RESTful IoT Authentication Protocols [44]	7	Mobile Security and Privacy: Advances, Challenges and Future Research Directions
Li and Yang (2017)	A Research on Development of Construction Industrialization Based on BIM Technology under the Background of Industry 4.0 [45]	7	MATEC Web of Conferences
Dallasega et al. (2016)	A Decentralized and Pull-based Control Loop for On-demand Delivery in ETO Construction Supply Chains [46]	7	IGLC 2016 - 24th Annual Conference of the International Group for Lean Construction
Delbrügger et al. (2018)	A Navigation Framework for Digital Twins of Factories Based on Building Information Modeling [47]	7	IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

Title	Document Type	Objective	Methodology	Main Finding	Limit of the Study
Understanding the implications of digitization and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry [32]	Review	Explore the state of the art as well as the state of practice of Industry 4.0	Triangulation approach: a comprehensive systematic literature review and case study research	Industry 4.0 technologies are far-reaching despite the maturity and availability of technologies. To adopt, many political, economic, social, technological, environmental and legal challenges have to be embraced	Did not cover all available published papers and included non-peer-reviewed publications in the review due to the novelty of the topic
Industry 4.0 as an enabler of proximity for construction supply chains: A systematic literature review [33]	Review	Explain Industry 4.0 concepts that increase or reduce proximity of construction supply chain	Systematic literature review and analysis of applicability through practical publications and examples from industrial case studies	Industry 4.0 technologies mainly influence technological, organizational, geographical, and cognitive proximity dimensions by de-territorializing closeness of major processes, routines, and procedures using Industry 4.0 concept	Used standard application and did not cover social, cultural, and economic norms
Digital construction: From point solutions to IoT ecosystem [26]	Review	Explain the construction industry in a transformational stage of a larger evolutionary process	Used longitudinal view of literature to explain the current period as disruptive technology driving an evolutionary adaptation of the construction industry in a historical socio-technological process	BIM is similar to PIM (Project Information Model)except BIM does not have the ability to integrate other data types from across the whole lifecycle because the construction industry has fragmented data compared to manufacturers who possess end to end lifecycle data	The similar pattern in every revolution system was not clearly elaborated
Evaluation of Open Data Models for the Exchange of Sensor Data in Cognitive Building [48]	Conference Paper	Present the linkage between sensor and BIM using IFC (Industry Foundation Classes)	Describe the state of art of ODM (Open Data Models)	More dynamic concept of IFC connection has been investigated and further testing was required	Too conceptual
IFC Monitor—An IFC schema extension for modelling structural health monitoring systems [43]	Article	Propose SHM (Structural Health Monitoring) to monitor information using IFC, and open BIM standard is used to facilitate interoperability	Describe the possibilities and constraints, extend IFC schema to enable interoperability, verify IFC schema monitoring, then validate prototype	IFC monitor schema proposed in this study for SHM	Need to enhance communication protocol and system dynamics inherent in SHM systems
A research on development of construction industrialization based on BIM technology under the background of Industry 4.0 [45]	Conference Paper	Introduce a new production pattern of construction industrialization that is BIM-based	Comparative analysis	Countermeasures and suggestions to promote BIM: (1) Seize opportunities, and take own advantages; (2) attach importance to research and development of construction industrialization; (3) improve laws, regulations, and construction standards	The proposed pattern needs to have support from the government in terms of legalization and standardization
An approach supporting real-time project management in plant building and the construction industry [49]	Conference Paper	Proposal allowing scheduling and monitoring a building project in real time	Process planning-pitching-synchronization. Process templates as “planning configurator” for new projects	The first prototypical application of a scheduling and monitoring prototype that supports project management in real time and showed great potential.	Need to enhance the capability to plan several orders/projects in parallel
Towards a system-of-systems for improved road construction efficiency using lean and Industry 4.0 [50]	Conference Paper	Identify efficiency attributes and wastes in current practices, which led to a conceptual solution that focuses on improved coordination of working machines	Identifying similarities and differences between the construction and other industries	Outlined SoS (System of Systems) concept for improving productivity in road construction using lean principles for waste reduction and applying Industry 4.0 concepts to address different architectural concerns	Detailed applied studies and prototypes are needed
Smart steel bridge construction enabled by BIM and Internet of Things in industry 4.0: A framework [51]	Conference Paper	Discuss smart steel bridge construction enabled by BIM and IoT to deal with the uncontrollability and inefficiency problem of construction progress, quality, and cost in traditional steel bridge construction projects	Proposed framework, pointed out research directions and roadmap, applied data-driven methods and model-based analytics to realize real-time collaborative management and closed-loop control of steel bridge lifecycle activities	Position the BIM- and IoT-enabled steel bridge construction mode in the context of Industry 4.0	The integration of BIM and IoT is still under conceptualization and need to be validated
Parametric and Generative Design techniques in mass-production environments as effective enablers of Industry 4.0 approaches in the Building Industry [52]	Article	Investigate potential and criticisms of parametric and generative design techniques in mass-production environments of the BI though a pilot-case-study analysis in the GLT (Glue Laminated Timber) industry	Program a parametric algorithm for GLT engineering-measured manufacturing effectiveness and manufacturing efficiency through a value-stream map of an ordinary GLT supply chain system	Parametric and generative design techniques improved manufacturing effectiveness and manufacturing efficiency	Absence of Industry 4.0 approaches and technologies in an ordinary GLT supply chain system
A navigation framework for digital twins of factories based on building information modelling [47]	Conference Paper	Propose a framework that allows for effortless inclusion of BIM and factory equipment, as well as a plugin system for a variety of spatial representations	Used BIM and interrelated technologies, then applied the framework to simulate digital twin factory	Developed framework that combines building, agent, and machine information into one dynamic factory model to support pathfinding and path following	Extension is required to the use of sensors in the navigation framework to complete construction life cycle
Towards the generation of digital twins for facility management based on 3D point clouds [53]	Conference Paper	Present the current research and development progress of a service-oriented platform for generation of semantically rich 3D point cloud representations of indoor environments	Described O&M stages within the FM operations, particularly on space management	The preliminary results of a prototypical web-based application demonstrate the feasibility of service-oriented platform for FM using a service-oriented paradigm	The generation of as-is BIM data from point clouds; the selection and labelling of segmented areas to be converted to IFC components required manual user input
Automated design and modeling for mass-customized housing. A web-based design space catalog for timber structures [54]	Article	To develop a cross-laminated timber (CLT) model for AEC (Architecture, Engineering and Construction) industry	Using generative models and evolutionary principles to inform the customization process in the early stage of design to explore different design solutions	The presented collaborative strategy and web-based catalogue represent a first step in developing a comprehensive methodology for wooden architecture to enable mass-customized housing	The strategy is still in its infancy
Beginning of Real Wide us of BIM Technology in Czech Republic [55]	Conference Paper	Reveals the reason and method to achieve BIM adoption in Czech Republic	Review	Users see more barriers and complications than benefits	Proper investigation into BIM adoption is needed
Cyber-physical systems for construction industry [56]	Conference Paper	Present a framework in which cyber-physical systems (CPS) for construction based on virtual models of construction processes	CPS for construction based on virtual models of construction processes, implemented via Petri Nets, and connected to both BIM models and hardware (sensors and actuators) working in on-site production or assembly. Then, the proposed framework was ‘relaxed’ and extended to be applied to a scenario where CPS are only a bi-directional link between virtual models and its real counterparts on-site, without hardware requiring control, but with observations based on data acquired via sensing	To reduce or eliminate manual data gathering in the field, about construction progression, and reducing the time to produce construction progress reports.	Further elaboration is required to have practical value on the field, especially for the Petri Nets simulations and CPS
Dynamic model of implementation efficiency of BIM in relation to the complexity of buildings and the level of their safety [57]	Conference Paper	Present the efficiency of BIM on the created dynamic model for the complexity of buildings	Basic dynamic BIM implementation model (without implementation of the subset employees)	BIM achieved the efficiency of the construction and management throughout the life cycle despite of the complexity of the construction process and the corresponding cost of the BIM	The dynamic BIM model and employment model, training should be further elaborated
Development of a digital platform based on the integration of augmented reality and BIM for the management of information in construction processes [58]	Conference Paper	Describe the development process of a digital platform that uses AR combined with BIM to provide workers with relevant information in real-time based on their current position on the construction site	The location system uses sensory information collected by mobile devices to provide location awareness to the application; the integration of 3D BIM model metadata to contextualize tasks and instructions and provide building components information	A platform for the integration of augmented reality and BIM	The benefit of having this digital platform in construction processes can be incorporated with economic gain for the implementation to be rationalized
How industry 4.0 and BIM are shaping the future of the construction environment [7]	Conference Paper	Discuss on the potential of Industry 4.0	Not stated	Industry 4.0 promotes valuable data exchange as well as trust in collaboration	Limited to the overview of Industry 4.0 only, the superficial beauty of Industry 4.0
Socio-Technical challenges in the digital gap between building information modelling and industry 4.0 [59]	Conference Paper	Envision a socio-technical solution strategy based on the common understanding that communication and cooperation are mission-critical for the overall success of the deployed information system, the design process, and the final result of the mission, which is the building.	Sketched the challenges and discussed a running construction project as a real application scenario including the use of serious gaming strategies, near real-time collaboration, and mixed reality.	The results show that despite the cost and time restrictions, innovative and relevant research in interdisciplinary research and development teams is feasible	The 90% sociology on the 90/10 rule of people adoption can be elaborated as well as suggestions for future solution

Author Contributions

Conceptualization, R.M., A.S. and K.N.A.; Methodology, R.M., A.S., P.M. and O.K.; Analysis, R.M., A.S., P.M. and O.K.; Writing-Original Draft Preparation, R.M., A.S. and P.M.; Writing-Review & Editing, R.M., A.S., O.K., and P.M.; Visualization, R.M.; Supervision, A.S. and K.N.A.; Project Administration, R.M.; Funding Acquisition, A.S., O.K., and P.M.

Funding

This research was funded by Universiti Teknologi Malaysia (UTM) under Research University Grant Vot-20H04, Malaysia Research University Network (MRUN) Vot 4L876 and the Fundamental Research Grant Scheme (FRGS) Vot 5F073 supported under Ministry of Education Malaysia for the completion of the research. The work was partially funded by the SPEV project, University of Hradec Kralove, FIM, Czech Republic (ID: 2103-2019).

Acknowledgments

We are also grateful for the support of student Jan Hruska and Sebastien Mambou in consultations regarding application aspects.

Conflicts of Interest

The authors declare no conflict of interest.

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