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.

No abstract

The recent development in wireless networks and devices leads to novel services that will utilize wireless communication on a new level [...]

It is critical for quality requirements, such as trust, privacy, and confidentiality, to be fulfilled during the execution of smart city applications. In this study, smart city applications were modeled as agent systems composed of many agents, each with its own privacy and confidentiality properties. Violations of those properties may occur during execution due to the dynamic of agent behavior, decision-making capabilities, and social activities. In this research, a framework called Agent Quality Management was proposed and implemented to manage agent quality in agent systems. This paper demonstrates the effectiveness of the approach by applying it toward a smart city application called a crowdsourced navigation system to verify and assess agent data confidentiality. The AnyLogic Agent-Based Modeling tool was used to model and conduct the experiments. The experiments showed that the framework helped to improve the detection of agent quality violations in a dynamic smart city application. The results can be further analyzed using advanced data analytic approach to reduce future violations and improve data confidentiality in a smart city environment.

The amount of construction waste generated is enormous due to the growth of the construction activities, which might lead to serious environmental problems. This is also including the construction waste that was generated from the natural disaster. This potential human-made disaster has been receiving worldwide attention and becomes a significant concern across nations. Thus, many studies on the effectiveness of construction waste management practices have been done. However, statistics do not show any improvement in the number of construction waste production. This paper aims to investigate the state of the art of construction waste management practice in Malaysia and the human-made disaster management strategies that feasible to be applied. Data were collected using the semi-structured interview with the key informants of the construction professional service providers in Malaysia and analyzed through thematic content analysis. An in-depth conceptualization and a new theoretical insight are developed on the strategy to prevent this human-made disaster caused by the construction waste. Findings from the cross-sectional content analysis and cognitive mapping propose a new human-made disaster management strategy in the construction caused by the construction waste that suits to Malaysian context.