Search results

Raise in temperatures due to climate change is likely to increase the heat stress in occupations that are physically exerting and performed outdoors which might potentially have adverse health and productivity consequences. The purpose of this paper is to estimate the productivities in construction work under the influence of heat stress using the predicted mean vote (PMV) index.

Field studies were conducted during May 2014 which is summer time in Chennai. Continuous heart rate of workers and wet bulb globe temperature measurements are conducted for workers engaged in different jobs in construction. Metabolic rates and the workload of the workers from heart rate were calculated using the ISO method 8996 and the PMV values are calculated using the tool developed by Malchaire based on the method ISO 7730. Direct observations and personal interviews were conducted to substantiate the productivity estimations.

The results showed that workers working outdoors with moderate and heavy workload exceeded the threshold limit value of 28°C and had adverse productivity impacts (18-35 per cent productivity loss), whereas the workers engaged in light indoor work was not affected by heat stress and consequent productivity losses. The productivity estimations using the PMV index is found to be statistically significant for three types of construction works (Pearson correlation coefficient value of −0.78) and also correlated well with the observations and self-reported productivities of the workers.

The method used in this paper provides a scientific and reliable estimation of the productivities which may benefit the industry to set realistic project completion goals in hot weather and also implement interventions and policies to protect workers’ health. Developing adaptive strategies and implementing control measures are the need of the hour to protect worker’s health and economic losses in the face of climate change.

The purpose of this study is to analyze the impact of inclined magnetohydrodynamics (MHD) and thermal radiation on the flow of a ternary micropolar nanofluid on a sheet that is expanding and contracting while applying mass transpiration and velocity slip conditions to the flow. The nanofluid, which is composed of Au, Ag and Cu nanoparticles dispersed in water as the base fluid, possesses critical properties for increasing the heat transfer rate and is frequently used in manufacturing and industrial establishments.

The set of governing nonlinear partial differential equations is transformed into a set of nonlinear ordinary differential equations. The outcome of this differential equation is solved and obtained the closed-form solution and energy equation in the form of hypergeometric functions.

The velocity, micro-rotation and temperature field are investigated versus a parametric variation. The physical domains of mass suction or injection and micropolar characteristics play an important role in specifying the presence, singleness and multiplanes of exact solutions. In addition, many nondimensional characteristics of the profiles of temperature, angular velocity and velocity profiles are graphically shown with substantial consequences. Furthermore, adding nanoparticles increases the heat transfer rate of the fluid used in manufacturing and industrial establishments. The current findings may be used for better oil recovery procedures, smart materials such as magnetorheological fluids, targeted medicine administration and increased heat transmission. Concerning environmental cleanup, nanomaterial fabrication and biomedical devices, demonstrate their potential influence in a variety of disciplines.

The originality of this paper is to analyze the impact of inclined MHD at an angle with the ternary nanofluid on a micropolar fluid over an expanding and contracting sheet with thermal radiation effect.

The detrimental influence of perceived work–family conflict (WFC) on employees' job-related attitudes has been examined in individualistic cultures. However, this relationship needs to be studied in collectivist societies, where the “family” is a salient social institution with family-centric work ethics. This study empirically investigates the role of nurturant task leadership (NTL) behavior in attenuating (1) the negative direct effect of perceived WFC on job satisfaction and (2) the negative indirect effect of perceived WFC on job satisfaction, mediated through affective commitment (AC) on a sample of employees from a public sector bank in India.

The study adopts a cross-sectional research design, and the data were collected from 244 executives working in the banking sector of India. The direct, indirect and moderated effects were analyzed using ordinary least squares (OLS) regression.

NTL behavior was found to moderate the negative direct relationships between perceived WFC and job satisfaction as well as the negative indirect relationship between perceived WFC and job satisfaction, mediated through AC.

The study contributes to existing literature on WFC by introducing an important boundary condition in NTL behavior, thus providing impetus to further research in this direction through research designs that allow for causal inference and generalizability.

Findings from this study can provide useful pointers to organizations dealing with employee performance challenges owing to WFC. Results indicate that leaders who exhibit NTL behavior are more likely to attenuate the negative influence of WFC on employee attitudes and performance.

This study is among the first empirical examination of the effectiveness of NTL behavior in mitigating the negative effects of perceived WFC on job satisfaction.

Some manufacturing processes generate extreme temperatures, noise and other irritating environmental conditions. These environmental factors can have a negative impact on workers’ performance and health. The purpose of this paper is to investigate the impact of temperature, noise and lighting on factory workers’ productivity and day-to-day health in a rubber compound manufacturing plant.

Secondary data on productivity, measurements of factory environmental conditions, and records of medical advice and treatments over a period of three months were used in this study. Causal analysis was performed using statistical techniques ANOVA and regression analysis in SPSS statistical package.

The results revealed that higher levels of temperature and noise inside the factory can cause lower productivity levels. High temperature may not only reduce the productivity but also contribute to illnesses or heat-stress symptoms such as headaches. The results further suggested that both noise and lighting level do not have a statistically significant impact on workers’ health. No statistical evidence was found on lighting level having an impact on workers’ productivity.

The study was particularly focused on a rubber compound manufacturing plant. However, the results were consistent with the results obtained in similar studies which focused on leather and shoe industry and automobile assembly industry.

The impact of environmental conditions on workers’ performance and health has been studied with respect to few industries and regions. This is the first of that kind carried out in Sri Lanka. Clear evidence of productivity losses and health impacts caused by high temperatures, raises the need for improving the working conditions.

Construction workers’ health and safety (CWHS) research in India has not gained much attention among researchers. This study aims to review articles related to CWHS research in India using a science mapping approach.

A total number of 64 journal articles published between 2004 and 2019 were extracted from the Scopus database using keywords including “construction safety,” “occupational health,” “ergonomics in construction,” etc. VOSviewer software was used to examine the influential keywords, documents, sources and authors in the field of CWHS.

The study found that most of the current work focuses on safety management, safety climate, safety performance, musculoskeletal disorders and behavior-based safety. The result indicates no theoretical basis for the theories and learning methods for the existing studies.

The findings open up a research gap that researchers explore to enhance workers’ health and safety within the Indian construction environment.

The paper is the first article to provide a better understanding of current research in the field of CWHS in India by analyzing its growth through the science mapping approach.

Activity sampling is a technique to monitor onsite labourers' time utilisation, which can provide helpful information for the management level to implement suitable labour productivity improvement strategies continuously. However, there needs to be a review paper that compiles research on activity sampling studies to give readers a thorough grasp of the research trend. Hence, this paper aims to investigate the activity sampling techniques applied in earlier research from the angles of activity categories formation, data collection methods and data analysis.

The method used in this paper is a systematic review guided by the PRISMA framework. The search was conducted in Scopus and Web of Science. The inclusion and exclusion criteria were applied, selecting 70 articles published between 2011 and 2022 for data extraction and analysis. The analysis method involved a qualitative synthesis of the findings from the selected articles.

Activity sampling is broadly divided into four stages: targeting trade, determining activity categories, data collection and data analysis. This paper divides the activity categories into three levels and classifies the data collection methods into manual observation, sensor-based activity sampling and computer vision-based activity sampling. The previous studies applied activity sampling for two construction management purposes: labour productivity monitoring and ergonomic safety monitoring. This paper also further discusses the scientific research gaps and future research directions.

This review paper contributes to the body of knowledge in construction management by thoroughly understanding current state-of-the-art activity sampling techniques and research gaps.

Agricultural workers represent an important part of the population exposed to high heat-related health and productivity risks. This study aims to estimate the heat-related productivity loss (PL) for moderate work activities in sun and shady areas and evaluating the economic cost locally in an Italian farm and generally in the whole province of Florence. Benefits deriving by working in the shade or work-time shifting were provided. Comparisons between PL estimated in Mediterranean (Florence, Italy) and subtropical (Guangzhou, China) areas were also carried out.

Meteorological data were collected during summers 2017–2018 through a station installed in a farm in the province of Florence and by two World Meteorological Organization (WMO)‐certified meteorological stations located at the Florence and Guangzhou airports. These data were used to calculate the wet-bulb globe temperature and to estimate the hourly PL and the economic cost during the typical working time (from 8 a.m. to 5 p.m.) and by advancing of 1 h and 2 h the working time. Significant differences were calculated through nonparametric tests.

The hourly PL and the related economic cost significantly decreased (p < 0.05) by working in the shade and by work-time shifting. Higher PL values were observed in Guangzhou than in Florence. The decrease of PL observed by work-time shifting was greater in Florence than in Guangzhou.

Useful information to plan suitable heat-related prevention strategies to counteract the effects of heat in the workplace are provided. These findings are essential to quantify the beneficial effects due to the implementation of specific heat-related adaptation measures to counter the impending effects of climate change.

Climate change and global warming have increased concerns over the influence of weather on workers' health and productivity in construction projects. A significant number of studies can be found in the weather and productivity interplay area. The purpose of this paper is to review the recently published papers in this area to explore the trends of research and topics discussed and to determine knowledge gaps and directions for future research.

Recent papers published between 2014 and 2019 were synthesized, reviewed and analyzed using bibliometric and text mining analysis.

The results revealed the trends of publications, the main authors contributed to this area and countries that attracted most of the research papers. Based on the review, this study presented a taxonomy of studies consisting of seven clusters, namely productivity management, seasons, weather factors, participants' conditions, uniform and clothing, work time and health and safety.

This review paper sheds a light into the topics discussed in this area, the interrelationship between the topics and the significant topics that should be continued in the future. Global warming concerns necessitate the need for more studies in tropical countries and countries that are expected to expose to high temperatures and heat stress, which greatly impact labor productivity. The paper highlighted the need to understand how weather influences workers' psychological conditions and subsequently their productivity.

The purpose of this paper is to assess food safety knowledge, choice behavior and health hazard concerns of ethnic Goan pork sausage consumers through various consumer food safety indices and also to evaluate socio-demographic influences on various consumer food safety indices.

Primary data in the form of 210 questionnaire responses were collected from Goan pork sausage consumers. Based on the responses, seven various consumer food safety indices were derived. The cumulative score of all the indices were normalized (0–1). The association between socio-demographic variables and consumer indices were evaluated using linear regression analysis, Pearson's correlation matrix, principal component analysis (PCA) and correspondence analysis (CA).

The results of the analysis indicate that the consumption of Goan pork sausages is most prevalent amongst younger people with high education having higher income. A majority of consumers have high score for the four consumer indices. The results of correlation analysis, regression analysis, PCA and CA revealed a significant association of consumer indices with socio-demographic variables.

The results of this study will provide a way forward for the evaluation of existing overall food safety concerns in the target population and in the future would be used for the promotion of good handling practices and health of Goan pork sausage consumers.

This paper aims to overcome the corrosion in AA7075 by incorporating the dual-reinforcements like Al2O3 and SiC through friction stir processing (FSP). In recent days, an automotive monocoque structure undergoes corrosion because of changes in environmental conditions.

Surface hybrid composites (SHCs) of AA7075 with different weight ratios of Al₂O₃ and SiC were fabricated at a rotating speed of 1000 rpm, traveling speed of 56 mm/min and tool tilt angle of 2º with two passes. Surface regions were observed using optical microscopy, and the potentiodynamic corrosion test was performed under a 3.5 per cent NaCl environment at room temperature. Then, the surface morphology analysis of corroded samples and their structural properties were also investigated through scanning electron microscopy (SEM), X-ray diffraction (XRD) and electron dispersive spectroscopy (EDS).

Through FSP, an improved interface between the reinforced particles and the AA7075 base matrix was observed because of the severe plastic deformation. Potentiodynamic polarization tests confirmed that the AA7075 matrix with a higher concentration of Al₂O₃ and a lower concentration of SiC (Al₂O₃ – 75 per cent and SiC – 25 per cent) possesses a lower corrosion rate than other specimens. This result is because of the combined effect of stable passive film formation and the resistance produced by hard SiC particles. In addition, the formation of a stronger interface between the reinforcements and the base matrix impedes the NaCl solution attack. The SEM micrograph depicts the film crystallinity variations with an increase in Al₂O₃ content. Debonding between the layers was observed on increasing the SiC content in the base matrix. XRD shows the peaks of reinforcing elements that influence the corrosion behavior. These observations suggest that the AA7075 reinforced with a higher concentration of Al₂O₃ and a lower concentration of SiC through FSP affords a suitable solution for automotive monocoque applications.

The corrosion rate has been identified for AA7075 SHCs with various concentrations of Al₂O₃ and SiC and has been compared with that of the base metal and the friction stir processed specimen without reinforcement.