The digitalization of the construction industry (CI) has the aim—among others—to raise the bar of overall productivity. The craft workforce is very relevant on the overall value-chain. Therefore, a boost in this dimension impacts the entire sector. There is a gap in proper methodologies to measure and model productivity. Construction 4.0 novelties provide new approaches for its evaluation and progress. This communication presents a review of workforce productivity assessment and delivers methods focusing primarily on craft workers motion monitoring. Products and services opportunities from Construction 4.0 in the spectrum of craft workforce management include support by embedded sensors for data collection that allow near real-time monitoring. The work developed led to the systematization of a framework to standardize craft workers’ motion productivity. The craft workforce motion productivity framework, Worker 4.0, tenders nine processes integrated on a flowchart to streamline task processes assessment and mechanization level. It also sets up a two-handed/two-legged chart system to model craft workers’ activities and operations. The contributions to the body of knowledge are substantiated on the framework creation with the ability to model and assess craft workforce performance. This approach is meant to serve as base point for different stakeholders focusing on skills, efficiency, mechanization and productivity improvements.
Craft workforce is the main productive factor in traditional construction. Construction 4.0 visions are based on automation and digitalisation, meaning that human site activities will require/stipulate changes. The extent to which manual tasks done by humans in construction will be replaced is uncertain. This might vary considering the context or type of work. Construction 4.0 includes craft workforce activities, as these can benefit from technology, fostering digital transformation in the short/medium term. The research scope is workforce-innovation-management using data from job sites. A framework is developed based on data future use involving electronic performance monitoring, building information modelling, smart contracts and artificial intelligence. A systematic scoping review is developed to identify legal/ethical issues in connection to technological aspects. The discussion and findings focus on General Data Protection Regulation compliance to apply the proposed framework. Optimised human-machine-controlled environments must be ethically managed by pre-established collective agreements and must rely on each worker's awareness and consent. The findings suggest that the human aspects if improperly addressed could result in a bottleneck of digital transformation advances. Along with the framework, the paper provides a step-by-step, streamlined review of the regulations and requirements that need to be considered when implementing electronic monitoring of workers.
A few years ago, it began in Portugal the development of buildings fire risk analysis model, named MARIE, composed by eleven partial models according to the factors taking influence on that risk, having the model for the building egress (MEE), constituted by the building description model (MDE) and the occupants' movement model (MMO), already been completed. During MMO development, and due to the absence of national data allowing the characterization and quantification of people's movement kinematic aspects on adverse environments boosting building evacuation, as stated on fire emergency situations, it was adopted Predtechenskii & Milinskii (P & M) mathematical relations. MEE is, nowadays, being improved, regarding both MDE and MMO. These improvements affecting MMO are related, in one hand, with the occupants' behaviour, and, in the other hand, with the possibility of application to staircases of the mathematical relations of velocity and flow with density deduced by Predtechenskii & Milinskii. Therefore, several evacuation drills performed at the University of Coimbra Campus were filmed and analysed, where 321 people were involved, in order to obtain the expressions describing the movement in stairs, and later comparing them with P & M's expressions.
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