Search results

Since the handling of environmentally sensitive products requires close monitoring under prescribed conditions throughout the supply chain, it is essential to manage specific supply chain risks, i.e. maintaining good environmental conditions, and ensuring occupational safety in the cold environment. The purpose of this paper is to propose an Internet of Things (IoT)-based risk monitoring system (IoTRMS) for controlling product quality and occupational safety risks in cold chains. Real-time product monitoring and risk assessment in personal occupational safety can be then effectively established throughout the entire cold chain.

In the design of IoTRMS, there are three major components for risk monitoring in cold chains, namely: wireless sensor network; cloud database services; and fuzzy logic approach. The wireless sensor network is deployed to collect ambient environmental conditions automatically, and the collected information is then managed and applied to a product quality degradation model in the cloud database. The fuzzy logic approach is applied in evaluating the cold-associated occupational safety risk of the different cold chain parties considering specific personal health status. To examine the performance of the proposed system, a cold chain service provider is selected for conducting a comparative analysis before and after applying the IoTRMS.

The real-time environmental monitoring ensures that the products handled within the desired conditions, namely temperature, humidity and lighting intensity so that any violation of the handling requirements is visible among all cold chain parties. In addition, for cold warehouses and rooms in different cold chain facilities, the personal occupational safety risk assessment is established by considering the surrounding environment and the operators’ personal health status. The frequency of occupational safety risks occurring, including cold-related accidents and injuries, can be greatly reduced. In addition, worker satisfaction and operational efficiency are improved. Therefore, it provides a solid foundation for assessing and identifying product quality and occupational safety risks in cold chain activities.

The cold chain is developed for managing environmentally sensitive products in the right conditions. Most studies found that the risks in cold chain are related to the fluctuation of environmental conditions, resulting in poor product quality and negative influences on consumer health. In addition, there is a lack of occupational safety risk consideration for those who work in cold environments. Therefore, this paper proposes IoTRMS to contribute the area of risk monitoring by means of the IoT application and artificial intelligence techniques. The risk assessment and identification can be effectively established, resulting in secure product quality and appropriate occupational safety management.

This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.

The occupational health risk associated with the production of prefabricated concrete components is often overlooked. This paper will use a damage assessment and cyclic mitigation (DACM) model to provide individualized exposure risk assessment and corresponding mitigation management measures for workers who are being exposed.

The DACM model is proposed based on the concept of life cycle assessment (LCA). The model uses Monte-Carlo simulation for uncertainty risk assessment, followed by quantitative damage assessment using disability-adjusted life year (DALY). Lastly, sensitivity analysis is used to identify the parameters with the greatest impact on health risks.

The results show that the dust concentration is centered around the mean, and the fitting results are close to normal distribution, so the mean value can be used to carry out the calculation of risk. However, calculations using the DACM model revealed that there are still some work areas at risk. DALY damage is most severe in concrete production area. Meanwhile, the inhalation rate (IR), exposure duration (ED), exposure frequency (EF) and average exposure time (AT) showed greater impacts based on the sensitivity analysis.

Based on the comparison, the DACM model can determine that the potential occupational health risk of prefabricated concrete component (PC) factory and the risk is less than that of on-site construction. It synthesizes field research and simulation to form the entire assessment process into a case-base system with the depth of the cycle, which allows the model to be continuously adjusted to reduce the occupational health damage caused by production pollution exposure.

This paper explores Lean Six Sigma principles and the DMAIC (define, measure, analyze, improve, control) methodology to propose a new Lean Six Sigma 4.0 (LSS 4.0) framework for employee occupational exams and address the real-world issue of high-variability exams that may arise.

This study uses mixed methods, combining qualitative and quantitative data collection. A detailed case study assesses the impact of LSS interventions on the exam management process and tests the applicability of the proposed LSS 4.0 framework for employee occupational exams.

The results reveal that changing the health service supplier in the explored organization caused a substantial raise in occupational exams, leading to increased costs. By using syntactic interoperability, lean, six sigma and DMAIC approaches, improvements were identified, addressing process deviations and information requirements. Implementing corrective actions improved the exam process, reducing the number of exams and associated expenses.

It is important to acknowledge certain limitations, such as the specific context of the case study and the exclusion of certain exam categories.

The practical implications of this research are substantial, providing organizations with valuable managerial insights into improving efficiency, reducing costs and ensuring regulatory compliance while managing occupational exams.

This study fills a research gap by applying LSS 4.0 to occupational exam management, offering a practical framework for organizations. It contributes to the existing knowledge base by addressing a relatively novel context and providing a detailed roadmap for process optimization.

In this chapter, we have proposed that an important approach to understanding occupational stress and well-being among racial and ethnic minority workers is to integrate the occupational health disparities paradigm into work stress research. As such, the current chapter provides a state-of-the-art review of the existing literature on occupational health disparities for Latinos, Asian Americans, and African Americans. Each of the three sections has highlighted the unique occupational health problems encountered by the specific racial and ethnic group as well as the research and policy gaps. We end with a series of recommendations for future research.

Many researchers have investigated the determinants of workers’ risk-taking/unsafe behaviours as a way to improve safety management and reduce accidents but there has been a general lack of research about workers’ risk information seeking behaviours or their source preferences for risk information. The purpose of this paper is to investigate whether occupational risk information source preference was risk independent (i.e. whether workers prefer to receive occupational risk information from proximal sources like supervisors and workmates regardless of the nature of the risk or the source's expertise regarding that risk, or if they discriminated between information sources based on the type of risk being considered).

Data were collected from 106 frontline construction workers who were recruited from a single building site within the UK with the help of the safety officer on site. The source from which workers preferred to receive information about a range of risks was measured using a ranking exercise. Specifically, workers were asked to rank five occupational sources (HSE, safety manager, project manager, supervisor, workmates) according to how much they preferred each one to deliver information about eight different risks (asbestos, back pain, site transport, heights, slips/trips, housekeeping, and site-specific and job-specific risks).

The paper found that supervisors and safety managers were the most preferred sources of risk information overall, but a correspondence analysis suggested that workers’ risk information source preference is risk dependent and might be driven by source expertise.

The findings have important practical implications for the role of safety managers in risk communication and for building trust within high-hazard organisations.

To the author's knowledge, this is the first study to investigate risk information source preferences in an occupational setting.

In view of the absence of police stress research in Greece, the purpose of this paper is to measure occupational stress among police officers and to investigate occupational stress risk factors.

A cross-sectional study with a convenience sample was conducted among 336 police officers in Athens, Greece. Data collection was performed during January to March 2018 and the response rate was 77.8 percent. Demographic characteristics, job characteristics, lifestyle factors and coping strategies were considered possible risk factors. The “Operational Police Stress Questionnaire” and the “Organizational Police Stress Questionnaire” were used to measure occupational stress, while the “Brief Cope” questionnaire was used to measure coping strategies.

Regarding service operation, the most stressor events were personal relationships outside work, tiredness, bureaucracy, injury risk and lack of leisure for family and friends. Regarding service organization, the most stressor events were lack of personnel, inappropriate equipment, lack of meritocracy, lack of sources and inappropriate distribution of responsibilities in work. According to multivariate analysis, increased use of avoidance-focused coping strategy, and decreased sleeping, physical exercise and family/friends support were associated with increased occupational stress. Moreover, police officers who work out of office experienced more occupational stress than police officers who work in office.

To the best of the authors’ knowledge, this is the first study in Greece addressing the risk factors for occupational stress among police officers. Modifiable occupational stress risk factors among police officers were found and should be carefully managed to decrease stress and improve mental health.

Securing a job in an industry is a boon for most of the slum dwellers. When the primary earner of a slum household suffers from occupational illness and injuries, without insurance coverage or partial coverage of insurance, this boon may become a curse in the long run. The occupational security and safety along with the fact that whether such workers are insured is an important aspect and has a close link with the expenditure on illness. Thus, the accessibility to employees’ insurance in the risky industrial occupation, particularly for slum dwellers, is crucial to protect them from falling into poverty. Studies on occupational health of the poor workers are either limited to informal sectors or remain industry specific and the analysis of their accessibility to job insurance is rarely done. The paper aims to discuss these issues.

The research questions are framed to analyze the types of insurance accessible to workers across various industries; the accessibility to insurance, however, varying across risk intensities of various industries; and the determinants of insurance accessibility of the industrial workers living in slums. The determinants of accessibility of job insurance are analyzed with a binary Logit model. A multi-stage random sampling technique is used to collect the primary data from 320 industrial workers living in the slums of the Indian state of West Bengal.

The industrial workers, irrespective of the types of industries, are exposed to a high-risk category without proper job insurance. The higher industrial income is not adequate to prevent financial hardships. Access to insurance is more likely for the respondents with job tenure of more than two years and less likely for the workers who are working for more than eight hours per day.

This study provides a significant insight to the policymakers concerning health dynamics of the slum dwellers, which can improve their livelihood.

The analysis of the industry-specific risk intensities with accessibility to insurance contributes to understanding the coverage of the insurance scheme for the workers in slums.

The most enduring measure of how individuals make personal decisions affecting their health and safety is the compensating wage differential for job safety risk revealed in the labor market via hedonic equilibrium outcomes. The decisions in turn reveal the value of a statistical life (VSL), the value of a statistical injury (VSI), and the value of a statistical life year (VSLY), which have both mortality and morbidity aspects that we describe and apply here. All such tradeoff rates play important roles in policy decisions concerning improving individual welfare. Specifically, we explicate the recent empirical research on VSL and its related concepts and link the empirical results to the ongoing examinations of many government policies intended to improve individuals' health and longevity. We pay special attention to recent issues such as the COVID pandemic and newly emerging foci on distributional consequences concerning which demographic groups may benefit most from certain regulations.

Motor-vehicle-related events (MVEs) are the leading cause of on-duty death for law enforcement officers, yet little is known about how officers view this significant job hazard. The purpose of this paper is to explore officers’ motor-vehicle risk perception and examine how prior on-duty MVEs and the death or injury of a fellow officer influences this perception.

A state-wide random sample of 136 law enforcement agencies was drawn using publically accessible databases, stratified on type and size of agency. In total, 60 agencies agreed to participate and a cross-sectional questionnaire was distributed to 1,466 officers. Using six-point Likert scales, composite scores for motor-vehicle and intentional violence risk perception were derived. A linear regression multivariable model was used to examine factors affecting motor-vehicle risk perception.

Motor-vehicle risk perception scores were significantly higher than intentional violence scores. A prior on-duty motor-vehicle crash, prior roadside incident, or knowledge of fellow officer’s injury or death from a MVE significantly increased motor-vehicle risk perception scores. After controlling for potential confounders though, only prior on-duty crashes and roadside incidents impacted motor-vehicle risk perception.

The study comprised primarily small, rural agencies and generalizability may be limited. Also, although the data were collected anonymously, reporting and response biases may affect these findings.

This study involved a large and diverse cohort of officers and explored motor-vehicle risk perception. A better understanding of officers’ risk perceptions will assist in the development and implementation of occupational injury prevention programs, training, and policy.