Template-Type: ReDIF-Article 1.0 Author-Name: Hamid El-Moumen Author-X-Name-First: Hamid Author-X-Name-Last: El-Moumen Author-Name: Nabil El Akchioui Author-X-Name-First: Nabil El Author-X-Name-Last: Akchioui Author-Name: Mohammed Hassani Zerrouk Author-X-Name-First: Mohammed Hassani Author-X-Name-Last: Zerrouk Title: About the reliability analysis of complex dynamical systems via fluidification: numerical approach Abstract: The fluidification of stochastic discrete event models is a more interesting method to overcome the problem of combinatorial explosion of states. It allows to relax the conditions of stochastic Petri nets to continuous Petri nets, in order to accelerate the slow convergence of stochastic simulations. In our study, we will study an example of a large manufacturing workshop, in order to give limitations of the direct fluidification which does not always lead to the same behaviour between the two models. Secondly, we propose a numerical approach called adaptive that devotes to the adaptation of the maximum speeds of crossing the transitions that is considered as functions depending on the time. Consequently, this approach shows an excellent convergence of the continuous model to the stochastic one whatever the type of network and whatever the initial marking. Journal: Int. J. of Reliability and Safety Pages: 1-20 Issue: 1 Volume: 17 Year: 2023 Keywords: reliability analysis; Markov model; stationary state; stochastic Petri nets; fluidification; continuous Petri nets; numerical approach. File-URL: http://www.inderscience.com/link.php?id=132945 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrsaf:v:17:y:2023:i:1:p:1-20 Template-Type: ReDIF-Article 1.0 Author-Name: Gunda Yuga Raju Author-X-Name-First: Gunda Yuga Author-X-Name-Last: Raju Author-Name: Suprakash Gupta Author-X-Name-First: Suprakash Author-X-Name-Last: Gupta Author-Name: Lalit Kumar Singh Author-X-Name-First: Lalit Kumar Author-X-Name-Last: Singh Title: Prediction of human performance using EEG data to improve safety and productivity in the mines Abstract: Dynamic cognitive performance has an impact on the safety and productivity of mine workers. Previous studies show that physiological measures have a good correlation with cognition during task execution. Observing the escalating demand for safe production in mines, it is now a crucial research area to examine the physiological variables that can predict cognitive performance prior to task allocation. In this experimental work, we have tried to predict how well participants will do on upcoming tasks using brain signals captured by electroencephalography. An Electroencephalogram (EEG) was recorded from 40 participants who subsequently took a cognitive test. After data analysis, our results show that EEG features can predict cognitive performance, with <em>R</em> = 0.48, <em>p</em> = 0.002, for the memory task and <em>R</em> = 0.546, <em>p</em><0.001 for the attention task. This study also discussed the potential area of applicability in mining and some management strategies for dealing with workload and fatigue-related issues. Journal: Int. J. of Reliability and Safety Pages: 40-54 Issue: 1 Volume: 17 Year: 2023 Keywords: safety; productivity; cognitive performance; data analysis; EEG; electroencephalogram; mining industry. File-URL: http://www.inderscience.com/link.php?id=132946 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrsaf:v:17:y:2023:i:1:p:40-54 Template-Type: ReDIF-Article 1.0 Author-Name: Mansooreh Moeini Korbekandi Author-X-Name-First: Mansooreh Moeini Author-X-Name-Last: Korbekandi Author-Name: Seyed Hosein Kazemi Author-X-Name-First: Seyed Hosein Author-X-Name-Last: Kazemi Author-Name: Hassan Danaeefard Author-X-Name-First: Hassan Author-X-Name-Last: Danaeefard Title: Cognitive dimensions of organisational reliability: a scoping review Abstract: Originated in the engineering and leaked into other fields, reliability is now a demanded feature for all human-made systems, including organisations. Although the hard dimensions of reliability have been studied for decades, addressing soft and especially cognitive dimensions of reliability is an emerging research interest. To identify the conceptual borders of this multidisciplinary research area, we conducted a scoping review to find, select and map the general characteristics, methodological features, main findings and practical implications of the eligible studies. Using a search query three scientific databases (EBSCO, Wiley Online Library and Springer Link) were searched in title, abstract and keywords for relevant studies. The included studies were 57 English-written original research articles published in SJR Q1 journals. Data extraction revealed three research themes as the main paths for exploring cognitive dimensions of organisational reliability: mindfulness, safety and resilience. The safety-driven studies were focused on error management, safety knowledge management and cultural considerations. The focus of the resilience-driven strand was on crisis management, organisational resilience and employee resilience. As the last group, the mindfulness-driven studies were considered as the explicitly cognitive centre of the emerging field that pursues cognitive-based reliability by improving safety and resilience. Journal: Int. J. of Reliability and Safety Pages: 55-102 Issue: 1 Volume: 17 Year: 2023 Keywords: organisational reliability; scoping review; safety; resilience. File-URL: http://www.inderscience.com/link.php?id=132947 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrsaf:v:17:y:2023:i:1:p:55-102 Template-Type: ReDIF-Article 1.0 Author-Name: Ahmet Ebrar Sakallı Author-X-Name-First: Ahmet Ebrar Author-X-Name-Last: Sakallı Author-Name: Seçil Ulufer Kansoy Author-X-Name-First: Seçil Ulufer Author-X-Name-Last: Kansoy Title: The impact of organisational commitment on the safety climate among airline employees: the mediation effect of collective gratitude and risk perception Abstract: The rates of human factors in air accidents are approximately 75% in the world, and the second reason for the accidents is organisational issues. It is important to examine organisational and individual causes of aircraft accidents. In this study, 334 people working in the aviation industry constitute the sample. In the research, descriptive analysis was performed with SPSS. Correlation analysis was performed to determine the relationship between the scales. In the Amos program, the model was created by performing path analysis and moderator analysis. Although some of the sub-dimensions of organisational commitment (continuous, normative) directly affect the safety climate, when the whole organisational commitment is considered, it is seen that it indirectly affects the safety climate. It was found that organisational commitment affects both risk perception and collective gratitude. The serial mediation effect and full mediation effect of risk perception and collective gratitude were determined. Journal: Int. J. of Reliability and Safety Pages: 21-39 Issue: 1 Volume: 17 Year: 2023 Keywords: safety climate; risk perception; organisational commitment; collective gratitude; airline employees. File-URL: http://www.inderscience.com/link.php?id=132948 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrsaf:v:17:y:2023:i:1:p:21-39 Template-Type: ReDIF-Article 1.0 Author-Name: Jie Liu Author-X-Name-First: Jie Author-X-Name-Last: Liu Author-Name: Jørn Vatn Author-X-Name-First: Jørn Author-X-Name-Last: Vatn Author-Name: Viggo Gabriel Borg Pedersen Author-X-Name-First: Viggo Gabriel Borg Author-X-Name-Last: Pedersen Author-Name: Shen Yin Author-X-Name-First: Shen Author-X-Name-Last: Yin Author-Name: Bahareh Tajiani Author-X-Name-First: Bahareh Author-X-Name-Last: Tajiani Title: A comparison study for bearing remaining useful life prediction by using standard stochastic approach and digital twin Abstract: Remaining useful life (RUL) prediction is important for research of maintenance. It is common to use stochastic approaches to predict RUL of components. On the other hand, there is a digital twin model developed by MATLAB for bearing's real-time RUL prediction. To have a better understanding of the advantages and disadvantages of these models, an experiment was designed and implemented to get real degradation data of bearings for model testing. Two stochastic approaches are selected which are Wiener process and Geometric Brownian Motion. The purpose of the paper is to compare the models for RUL prediction with standard stochastic approaches and digital twin through real degradation data in order to compare them. Finally, the MATLAB digital twin model outperforms stochastic approaches in the early phases of prediction while remaining comparable in the latter stages. The paper could be used as a reference for further RUL prediction research. Journal: Int. J. of Reliability and Safety Pages: 103-122 Issue: 2 Volume: 17 Year: 2023 Keywords: remaining useful life; digital twin; stochastic approach; predictive maintenance; bearing experiment. File-URL: http://www.inderscience.com/link.php?id=134275 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrsaf:v:17:y:2023:i:2:p:103-122 Template-Type: ReDIF-Article 1.0 Author-Name: Nour El Houda Benharkat Author-X-Name-First: Nour El Houda Author-X-Name-Last: Benharkat Author-Name: Souad Bentaalla-Kaced Author-X-Name-First: Souad Author-X-Name-Last: Bentaalla-Kaced Author-Name: Abdelmalek Chergui Author-X-Name-First: Abdelmalek Author-X-Name-Last: Chergui Title: The influence of manufacturing digitisation on safety management and reliability engineering Abstract: This paper aims to evaluate the current state of the art in using Manufacturing Digitisation for Safety management issues. A bibliometric and systematic review was done to increase the relationship between manufacturing digitisation and safety issues, also understand how digitisation technologies can support safety issues, and how we should take paths towards improvements in safety management in manufacturing processes enabled by these digitisation technologies. The findings highlight that the changes brought by the development of these technologies are an opportunity and support for reliability and safety management. In recent years, digitisation has been developed to support workers during normal operations and emergencies and to improve their abilities to control safety levels, but at the same time it can expose humans to a more dangerous situation. The results provide the necessary information to decision-makers, researchers and prevention professionals on the challenges and opportunities for safety fields related to digitisation in manufacturing processes. Journal: Int. J. of Reliability and Safety Pages: 123-142 Issue: 2 Volume: 17 Year: 2023 Keywords: manufacturing; digitisation; safety; technologies; reliability. File-URL: http://www.inderscience.com/link.php?id=134291 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrsaf:v:17:y:2023:i:2:p:123-142 Template-Type: ReDIF-Article 1.0 Author-Name: Aman Kumar Author-X-Name-First: Aman Author-X-Name-Last: Kumar Author-Name: Satyaprakash Mishra Author-X-Name-First: Satyaprakash Author-X-Name-Last: Mishra Author-Name: Arjun Sil Author-X-Name-First: Arjun Author-X-Name-Last: Sil Title: Seismic hazard analysis of North East India and hazard assessment of capital cities in the region Abstract: Seismic hazard analysis is an important method for analysing the possible danger of earthquakes in a specific location. North-Eastern India experiences strong seismic activity due to its position near the meeting point of the Indian and Eurasian tectonic plates. In this research, a seismic hazard analysis has been performed for the capital headquarters of the North-Eastern region of India by considering updated seismicity and best-fitted ground motion equation. For this, the earthquake catalogue from 1762 to 2020 has been taken into account; after the declustering of earthquake data, fault zones are identified based on the earthquake density along the fault, and parameters (a % b) for each fault zone are then derived using the Gutenberg-Richter (G-R) relationship. The results of the seismic hazard analysis are presented for the capital headquarters (HQ) of each state in North East India as controlling sources, seismic hazard curves and uniform hazard spectra. The Ground Motion Value has been observed to vary from 0.26 to 0.80 g in the PSHA approach and 0.43 to 0.90 g in the DSHA method for North East India. The study results can be used to develop disaster management policies and strengthen the region's infrastructure and seismic-resistant populations. Journal: Int. J. of Reliability and Safety Pages: 143-166 Issue: 2 Volume: 17 Year: 2023 Keywords: seismicity parameter; earthquake; GMPE; ground motion prediction equation; PGA; peak ground acceleration; spectral acceleration. File-URL: http://www.inderscience.com/link.php?id=134299 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrsaf:v:17:y:2023:i:2:p:143-166 Template-Type: ReDIF-Article 1.0 Author-Name: Tushar Kanta Mahapatra Author-X-Name-First: Tushar Kanta Author-X-Name-Last: Mahapatra Author-Name: Suchismita Satapathy Author-X-Name-First: Suchismita Author-X-Name-Last: Satapathy Author-Name: Subrat K. Panda Author-X-Name-First: Subrat K. Author-X-Name-Last: Panda Author-Name: Isham Panigrahi Author-X-Name-First: Isham Author-X-Name-Last: Panigrahi Title: Evaluation and analysis of the impact of unsafe noise produced from manufacturing sector Abstract: Noise pollution has increased dramatically in recent decades as a result of growing industrialisation, and people are becoming more aware of the problem. The goal of the study is to identify the harmful noise issue in the industrial sector, where employees work eight hours a day in heated environments. Furthermore, the follow-up study may provide a good picture of varied noisy environments, such as an automobile workshop, the textile industry, and a small industry, allowing them to assess the impact of noise on their hearing conditions. A quick study was conducted at the working areas of the various companies to categorise the health concerns related to noise pollution in the area surrounding Bhubaneswar, Odisha. This study used three distinct kinds of questionnaires to examine health-related issues at the individual and workplace levels. According to experimental and survey studies, a large portion of the population appears to have issues with disturbed sleep, absent minds, an increase in hypertension with another specific cardiovascular illness observed. Journal: Int. J. of Reliability and Safety Pages: 167-182 Issue: 2 Volume: 17 Year: 2023 Keywords: noise pollution; hearing loss; decibels; health problems; sleeping problem. File-URL: http://www.inderscience.com/link.php?id=134305 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrsaf:v:17:y:2023:i:2:p:167-182 Template-Type: ReDIF-Article 1.0 Author-Name: Khatereh Rajinia Author-X-Name-First: Khatereh Author-X-Name-Last: Rajinia Author-Name: Mostafa Razmkhah Author-X-Name-First: Mostafa Author-X-Name-Last: Razmkhah Author-Name: Jafar Ahmadi Author-X-Name-First: Jafar Author-X-Name-Last: Ahmadi Title: A condition-based maintenance policy based on the reduction of age model Abstract: A condition-based maintenance policy is proposed in which the degradation of an engineering system is measured at some predetermined inspection times. The gamma process is used to study the system degradation. Two levels of thresholds are considered to do imperfect and perfect repair actions. The novelty of this work is describing the effect of imperfect repair by an arithmetic reduction of age model for a system subject to a gamma degradation process and extending the maximum likelihood approach to estimate the unknown parameters based on degradation increments. The main goal of the paper is to determine the optimal critical threshold at which the imperfect repair should be done. Toward this end, the cost rate criterion is used, and its sensitivity is discussed for the model parameters. Finally, an illustrative example is presented to clarify the proposed procedure. Journal: Int. J. of Reliability and Safety Pages: 183-199 Issue: 3/4 Volume: 17 Year: 2023 Keywords: arithmetic reduction of age; gamma process; imperfect repair; cost criterion; virtual age. File-URL: http://www.inderscience.com/link.php?id=135673 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrsaf:v:17:y:2023:i:3/4:p:183-199 Template-Type: ReDIF-Article 1.0 Author-Name: Anastasia Jung Author-X-Name-First: Anastasia Author-X-Name-Last: Jung Author-Name: Thierry Meyer Author-X-Name-First: Thierry Author-X-Name-Last: Meyer Title: Safety climate in university laboratories. Part II: a critical view on the role of safety education in academia Abstract: This paper explores safety climate as a phenomenon. Comparative analyses of the survey designed and distributed among European universities with a study published in 2013 demonstrating that safety climate studies targeting respondents with supervisory positions are not representative and create informational and perception gaps. Higher laboratory safety perception, management commitment and awareness were typical for respondents with supervisory positions. In the second part, hypotheses developed during literature research were tested. Laboratory safety and safety rules perception strongly depend on the management's commitment. The latter is strongly related to the time and quality of the respondents' safety training. We propose some modifications: inclusion of safety behaviour into individual performance assessment, formalisation of safety, reprioritisation of teaching and research objectives. We assume that mentioned improvements will ease the safety leadership in academia. Journal: Int. J. of Reliability and Safety Pages: 274-296 Issue: 3/4 Volume: 17 Year: 2023 Keywords: safety management; academia; safety culture; education. File-URL: http://www.inderscience.com/link.php?id=135675 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrsaf:v:17:y:2023:i:3/4:p:274-296 Template-Type: ReDIF-Article 1.0 Author-Name: Anastasia Jung Author-X-Name-First: Anastasia Author-X-Name-Last: Jung Author-Name: Thierry Meyer Author-X-Name-First: Thierry Author-X-Name-Last: Meyer Title: Safety climate in university laboratories. Part I: model development and practical application Abstract: Safety climate assessment has become a regular practice for most organisations. However, it is often limited to questionnaires, providing only qualitative information. The indicator-based approach takes precedence over decision-making, and practical risk assessment tools are often quantitative. This paper not only proposes a model for the calculation of a single safety climate factor, but also suggests a practical application of the proposed method and its integration into a safety management tool for university laboratories. An exploratory and a confirmatory factor analysis were performed on the results of the survey of 993 respondents from different universities. The relative weights of the variables in the final 3-factor safety climate model were obtained. The method of calculating the safety climate factors was tested in the university and demonstrated its convenience for university laboratories. The results indicate that factors as complex as safety climate should be studied and treated as a blend of individual and group values. This method makes it possible to include a complex safety climate factor in the risk assessment by using a control banding approach for its evaluation. Journal: Int. J. of Reliability and Safety Pages: 248-273 Issue: 3/4 Volume: 17 Year: 2023 Keywords: safety climate; risk management; laboratories; academia. File-URL: http://www.inderscience.com/link.php?id=135676 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrsaf:v:17:y:2023:i:3/4:p:248-273 Template-Type: ReDIF-Article 1.0 Author-Name: B. Rekha Author-X-Name-First: B. Author-X-Name-Last: Rekha Author-Name: R. Ravindra Author-X-Name-First: R. Author-X-Name-Last: Ravindra Title: Reliability analysis for bond stress of precast panel joints Abstract: The complicated mechanical behaviour of joints and connections in precast constructions creates a significant amount of uncertainty. This study explores the dependability of precast joint bonding stress as a function of grout compressive strength, height and thickness of wall panels. The first crack load and vertical displacement data were acquired experimentally for this work. The reliability analysis of precast joints in wall assemblages is estimated in two different ways: estimating the central safety factor using Monte Carlo simulation and analysing survival probability using the Weibull distribution model. The novelty of the work is to relate Weibull survival probability estimates to predict first crack load and to propose the usage of the Weibull model as a novel designer's tool for cost-effective optimum design of precast joints. Journal: Int. J. of Reliability and Safety Pages: 228-247 Issue: 3/4 Volume: 17 Year: 2023 Keywords: precast walls; reliability analysis; Weibull distribution; failure rate analysis; reliability index; probability of failure. File-URL: http://www.inderscience.com/link.php?id=135677 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrsaf:v:17:y:2023:i:3/4:p:228-247 Template-Type: ReDIF-Article 1.0 Author-Name: Bouba Oumarou Aboubakar Author-X-Name-First: Bouba Oumarou Author-X-Name-Last: Aboubakar Title: The influence of intercultural differences on the safety performance of Chinese international hydropower projects Abstract: This study attempted to assess the influence of religion and beliefs, communication, demography and habits on safety motivation, behaviours and safety outcomes of workers. To achieve this, a structural equation model was designed in LISREL 8.8. After a consistency study on 566 workers' responses, the overall Cronbach's alpha was 0.92. The results revealed, with 99% level of confidence, that cultural differences have a positive and significant impact on safety performance of workers. The structural model's findings also show that all cultural variables, including demographics, religion and belief, communication and cultural habits, have a significant impact on safety behaviour and motivation. One sub-hypothesis out of the 12 that were stated was rejected. The study disproved that safety outcomes are positively influenced by religious and philosophical convictions. According to the results, cultural differences do not positively affect the number of severe conflicts on Chinese-led hydropower projects in Cameroon. Journal: Int. J. of Reliability and Safety Pages: 297-319 Issue: 3/4 Volume: 17 Year: 2023 Keywords: intercultural differences; safety performance; conflicts; Chinese hydropower projects; structural equation modelling. File-URL: http://www.inderscience.com/link.php?id=135678 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrsaf:v:17:y:2023:i:3/4:p:297-319 Template-Type: ReDIF-Article 1.0 Author-Name: Gabriele Capasso Author-X-Name-First: Gabriele Author-X-Name-Last: Capasso Author-Name: Christian Gogu Author-X-Name-First: Christian Author-X-Name-Last: Gogu Author-Name: Christian Bès Author-X-Name-First: Christian Author-X-Name-Last: Bès Author-Name: Jean-Philippe Navarro Author-X-Name-First: Jean-Philippe Author-X-Name-Last: Navarro Author-Name: Martin Kempeneers Author-X-Name-First: Martin Author-X-Name-Last: Kempeneers Title: Combined importance sampling and separable Monte Carlo: analytical variance estimator and applications to structural reliability Abstract: In this paper, we derive a new analytical variance estimator for the probability of failure estimated by Separable Importance Sampling, allowing to analytically determine the number of samples required to reach a given coefficient of variation on the probability of failure. The proposed method can be applied in all reliability problems where response and capacity of a given system are independent. Numerical investigations have been conducted on two benchmark reliability problems. Thanks to this variance estimator we were able to carry out a large number of statistical simulations, allowing us to provide a comprehensive analysis of situations where Separable Importance Sampling would be most beneficial. Journal: Int. J. of Reliability and Safety Pages: 200-227 Issue: 3/4 Volume: 17 Year: 2023 Keywords: reliability analysis; structural reliability; separable limit state; Monte Carlo methods; separable Monte Carlo; importance sampling; sampling methods; analytical variance estimator. File-URL: http://www.inderscience.com/link.php?id=135679 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrsaf:v:17:y:2023:i:3/4:p:200-227