The productivity assessment tool: computer-based cost benefit analysis model for the economic assessment of occupational health and safety interventions in the workplace

INTRODUCTION AND MEthod: This paper describes the concepts behind cost benefit analysis in occupational health and safety and introduces the Productivity Assessment Tool, a method by which an analysis may be performed relatively easily in a service or manufacturing workplace. The advantage of using such analyses is to show the important financial role that safe and efficient workplaces play in the workplace. RESULTS: By using analytical tools, the effectiveness of an intervention (workplace change) may be estimated prior to its introduction. IMPACT ON INDUSTRY: This places occupational health and safety on the same financial footing as other proposed workplace changes and thus places occupational health and safety in a strong position to attract scarce resources.     

Assessing the effectiveness of integrating ergonomics and sustainability: a case study of a Mexican maquiladora

In 2015, the United Nations defined sustainable industrialization as one of 17 sustainable development goals. In this article, an analysis is performed to assess the opportunities for ergonomics to contribute toward sustainability in the manufacturing industry. To that effect, a case study was carried out in a maquiladora of electronic components in the northwestern region of Mexico. The investigation was developed in four stages: (a) diagnosis; (b) planning; (c) implementations; (d) verification of results. Barriers found during each stage are presented. Finally, a discussion of the obtained results is provided, and areas of opportunity for programs or actions to prevent health risks are identified.     

An adaptive neural network algorithm for assessment and improvement of job satisfaction with respect to HSE and ergonomics program: The case of a gas refinery

Researchers have been continuously trying to improve human performance with respect to Health, Safety and Environment (HSE) and ergonomics (hence HSEE). This study proposes an adaptive neural network (ANN) algorithm for measuring and improving job satisfaction among operators with respect to HSEE in a gas refinery. To achieve the objectives of this study, standard questionnaires with respect to HSEE are completed by operators. The average results for each category of HSEE are used as inputs and job satisfaction is used as output for the ANN algorithm. Moreover, ANN is used to rank operators performance with respect to HSEE and job satisfaction. Finally, Normal probability technique is used to identify outlier operators. Moreover, operators with inadequate job satisfaction with respect to HSEE are identified. This would help managers to see if operators are satisfied with their jobs in the context of HSEE. This is the first study that introduces an integrated ANN algorithm for assessment and improvement of human job satisfaction with respect to HSEE program in complex systems.     

Overcoming the blame game to learn from major accidents: A systemic analysis of an Anhydrous Ammonia leakage accident

This article aims to demonstrate the need for changing the methods with which accidents are analyzed, if we truly wish to use what we uncover from them to learn and enrich our knowledge base of organizational management. The goal is to relinquish the broadly adopted and rather simplistic paradigm that accepts the search for human error and unsafe acts performed by workers, and produces “guilt diagnostics”. Instead, we use a systemic accident analysis methodology, based on the sociotechnical principle of understanding the real operating conditions in which accidents take place. In order to demonstrate the benefits of the theoretical framework, we compare the analyses of an Anhydrous Ammonia gas leakage accident in a fish processing plant using the traditional accident analysis model based on unsafe acts and the proposed systemic approach. The results favor the latter since it tends to be more reliable and offering useful recommendations to safety management processes, thus helping to prevent accidents, especially in complex systems.     

The effectiveness of reducing illegal blood alcohol concentration (BAC) limits for driving: evidence for lowering the limit to .05 BAC

PURPOSE: This scientific review provides a summary of the evidence regarding the benefits of reducing the illegal blood alcohol concentration (BAC) limit for driving and providing a case for enacting a .05 BAC limit. RESULTS: Fourteen independent studies in the United States indicate that lowering the illegal BAC limit from .10 to .08 has resulted in 5-16% reductions in alcohol-related crashes, fatalities, or injuries. However, the illegal limit is .05 BAC in numerous countries around the world. Several studies indicate that lowering the illegal per se limit from .08 to .05 BAC also reduces alcohol-related fatalities. Laboratory studies indicate that impairment in critical driving functions begins at low BACs and that most subjects are significantly impaired at .05 BAC. The relative risk of being involved in a fatal crash as a driver is 4 to 10 times greater for drivers with BACs between .05 and .07 compared to drivers with .00 BACs. SUMMARY: There is strong evidence in the literature that lowering the BAC limit from .10 to .08 is effective, that lowering the BAC limit from .08 to .05 is effective, and that lowering the BAC limit for youth to .02 or lower is effective. These law changes serve as a general deterrent to drinking and driving and ultimately save lives. IMPACT ON INDUSTRY: This critical review supports the adoption of lower illegal BAC limits for driving.     

An integrated off-on line approach for increasing stability and effectiveness of automated controlled systems based on pump dependability—case study: Offshore industry

Automated controlled systems are vulnerable to faults. Faults can be amplified by the closed loop control systems and they can develop into malfunction of the loop. A control loop failure will easily cause production stop or malfunction at a petrochemical plant. A way to achieve a stable and effective automated system is to enhance equipment dependability. This paper presents a standard methodology for the analysis and improvement of pump performance to enhance total operational effectiveness and stability in offshore industry based on dependability. Furthermore, it is shown how a reliability–safety analysis can be conducted through equipment dependability indicators to facilitate the mitigation of hazard frequency in a plant. The main idea is to employ principle component analysis (PCA) and importance analysis (IA) to provide insight on the pumps performance. The pumps of offshore industries are considered according to OREDA classification. The approach identifies the critical pump and their fault through which the major hazards could initiate in the process. At first PCA is used for assessing the performance of the pumps and ranking them. IA is then performed for the worst pump which could have most impact on the overall system effectiveness to classify their components based on the component criticality measures (CCM). The analysis of the classified components can ferret out the leading causes and common-cause events to pave a way toward improving pump performance through design optimization and online fault detection which ultimately enhance overall operational effectiveness.