Despite the efforts of governments and firms, the construction industry is trailing other industries in labour productivity. Construction companies are interested in increasing their labour productivity, particularly when demand grows and construction firms cope with labour shortages. Off-site construction has proved to be a favourable policy to increase labour productivity. However, a complete understanding of the factors affecting construction labour productivity is lacking, and it is unclear which factors are influenced by off-site construction. This study developed a conceptual model describing how 15 factors influence the construction process and make a difference in labour productivity between off-site and on-site construction. The conceptual model shows that all 15 factors affect labour productivity in three ways: through direct effects, indirect effects and causal loops. The model is a starting point for further research to determine the impact of off-site construction on labour productivity.
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Background Clients facing decision-making for long-term care are in need of support and accessible information. Construction of preferences, including context and calculations, for clients in long-term care is challenging because of the variability in supply and demand. This study considers clients in four different sectors of long-term care: the nursing and care of the elderly, mental health care, care of people with disabilities, and social care. The aim is to understand the construction of preferences in real-life situations. Method Client choices were investigated by qualitative descriptive research. Data were collected from 16 in-depth interviews and 79 client records. Interviews were conducted with clients and relatives or informal caregivers from different care sectors. The original client records were explored, containing texts, letters, and comments of clients and caregivers. All data were analyzed using thematic analysis. Results Four cases showed how preferences were constructed during the decision-making process. Clients discussed a wide range of challenging aspects that have an impact on the construction of preferences, e.g. previous experiences, current treatment or family situation. This study describes two main characteristics of the construction of preferences: context and calculation. Conclusion Clients face diverse challenges during the decision-making process on long-term care and their construction of preferences is variable. A well-designed tool to support the elicitation of preferences seems beneficial.
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From the article: Abstract. This exploratory and conceptual article sets out to research what arguments and possibilities for experimentation in construction exists and if experimentation can contribute towards more innovative construction as a whole. Traditional, -western- construction is very conservative and regional, often following a traditional and linear design process, which focuses on front-loaded cost savings and repetitive efficiency, rather than securing market position through innovation. Thus becoming a hindrance for the development of the sector as a whole. Exploring the effects of using the, in other design-sectors commonly and successfully practiced, “four-phased iterative method” in architectural construction could be the start of transforming the conservative construction industry towards a more innovative construction industry. The goal of this research is to find whether the proposed strategy would indeed result in a higher learning curve and more innovation during the - architectural- process. Preliminary research indicates that there is argumentation for a more experimental approach to construction.
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Workers are an important factor in the implementation of a construction project. Applying ergonomic postures for workers in the projects is necessary to minimize the risk of work accidents and the risk of experiencing musculoskeletal disorders (MsDs). The use of lightweight brick for wall construction is relatively new and is in great demand by construction industries in Indonesia. During wall construction, workers do repetitive activities such as bending, kneeling, holding tools, or tilting the body. These activities potentially increase the risk of injury and musculoskeletal disorders. This study aims to assess the work posture of workers on the wall construction using lightweight brick and to analyze the high-risk activities. The wall construction work assessment included five stages of activities, (1) material transfer, (2) practical columns making and installation, (3) lightweight brick adhesive dough-making process, (4) lightweight bricks laying, and (5) lightweight brick plaster. The Rapid Upper Limb Assessment (RULA) method was used to evaluate the working posture. This method was developed to investigate the risk of abnormalities that workers will potentially experience. Based on the RULA employee assessment worksheet, the research results showed that 69% of workers have a high-risk level of work posture and 31% have low-risk levels of work posture. There are three activities with a high-risk level, namely, material transfer, lightweight brick laying, and lightweight brick plaster. At the same time, practical column making and installation work and lightweight brick adhesive dough-making processes are at a low-risk level. According to the RULA risk level, action is required to investigate and immediately improve activities with a high-risk level. If workers continue to work with the same posture, they will be at risk of developing musculoskeletal disorders related to the neck, trunk, and wrists in the near future. Correcting the worker’s posture can be done by improving work position, process, and workplace layout.
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In recent years, the number of publications on innovation in the construction industry has increased. Many of these documents address qualitative issues, e.g. policies for innovation and present case studies. A more quantitative approach is taken in this paper, which is the continuation of a previous study. It focuses on main types and sources of innovation in the construction industry, and includes an analysis of 55 years of publications in two leading Dutch professional journals. The results show a recent increase in innovation, with two-thirds of innovations coming out of supplying industries. Construction companies contribute mainly in process innovations. Innovation in construction remains to be technology- rather than market-driven. Regulations have a surprising impact, as over one-third of all counted new innovations are related to new regulations.
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The labor productivity of construction projects is low. This urges construction companies to increase their labor efficiency, particularly when demands grow and labor is scarce. This blog introduces an overview that helps practitioners identify causes of low productivity to find and eliminate the root causes.
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In recent years, a step change has been seen in the rate of adoption of Industry 4.0 technologies by manufacturers and industrial organizations alike. This article discusses the current state of the art in the adoption of Industry 4.0 technologies within the construction industry. Increasing complexity in onsite construction projects coupled with the need for higher productivity is leading to increased interest in the potential use of Industry 4.0 technologies. This article discusses the relevance of the following key Industry 4.0 technologies to construction: data analytics and artificial intelligence, robotics and automation, building information management, sensors and wearables, digital twin, and industrial connectivity. Industrial connectivity is a key aspect as it ensures that all Industry 4.0 technologies are interconnected allowing the full benefits to be realized. This article also presents a research agenda for the adoption of Industry 4.0 technologies within the construction sector, a three-phase use of intelligent assets from the point of manufacture up to after build, and a four-staged R&D process for the implementation of smart wearables in a digital enhanced construction site.
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When children learn in a group context they also co-construct knowledge (Thelen & Smith, 1994). This means that, rather than undergoing parallel learning processes, we conceive knowledge as emerging between two or more individuals. In this presentation, we aim to demonstrate the process of knowledge co- construction situated in peer interaction.The child utterances from the two video fragments were first coded based on their complexity level of reasoning, using a coding scheme based on Fisher’s SkillTheory (Fischer, 1980). This is a cognitive developmental theory that categorizes scientific knowledge into three increasingly differentiated tiers of complexity (Fischer &Bidell, 2006). Next, the moment-to-moment codes were smoothed using a LOESS technique. This allows us to visualize the real-time dynamics of co-constructedknowledge. We examined the data for two peers separately as well as for the whole interaction as one process. With this distinction, we aim to highlight characteristics ofthe co-construction of knowledge (i.e., how do key individuals co-construct knowledge), and characteristics of the emergent knowledge (i.e., how does the general level of complexity emerge over time?).Results show that, as a group, the students reached a relatively high level of complexity over the course of the interaction and that, when zooming in on the interaction between two specific students (L1, L3), the utterances of one student (L3) often followed those of another (L1). In the presentation, we will discuss how these process characteristics contribute to our understanding of problem-solving processes, as well as advantages and disadvantages of using time series
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A large share of urban freight in cities is related to construction works. Construction is required to create attractive, sustainable and economically viable cities. When activities at and around construction sites are not managed effectively, they can have a negative impact on the cities liveability. Construction companies implementing logistics concepts show a reduction of logistic costs, less congestion around the sites and improved productivity and safety. The client initially sets the ‘ground rules’ for construction in the tendering process. This paper explores how tendering for construction projects can support sustainable urban construction logistics. We explore the potential for tendering construction projects, by both public and private clients, for sustainable urban construction logistics and we present a conceptual framework for specifying ‘logistics quality’ as a quality criterion for EMAT (Economically Most Advantageous Tender). Our exploration results in questions for further research in tendering for sustainable urban construction logistics.
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From the article: "Project execution in the construction industry faces major challenges, e.g. difficulty in coordination and cooperation. Operational procurement during project execution is no exception. In this paper we construct a maturity model, based on earlier work, consisting of six dimensions (goal, control, process, organization, information, technology) and five maturity stages (transactional-oriented, commercial-oriented, coordination, internal-optimized, external-optimized). The model can be used to determine the level of procurement maturity for each of the dimensions, and for the determination of a strategy for growth in the construction industry. With input from a major construction firm in the Netherlands, through simulating tooling, the model is evaluated for its contribution to growth in operational excellence. Results of the simulation show support for a relation between maturity growth and increased operational excellence." Recommended Citation Xing, Xiaochun; Versendaal, Johan; van den Akker, Marjan; and De Bevere, Bastiaan, "Maturity of Operational Procurement in the Construction Industry: A Business/IT-Alignment Perspective" (2011). BLED 2011 Proceedings. Paper 22. http://aisel.aisnet.org/bled2011/22 Affiliation: Xing Xiaochun - Swets Information Services, Netherlands; Johan Versendaal - Utrecht University, Netherlands; HU University of Applied Sciences, Netherlands; Marjan van den Akker - Utrecht University, Netherlands; Bastiaan De Bevere - Ballast Nedam, Netherlands.
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