International Journal of Reliability and Safety

Tay, Hui Hui

doi: 10.1504/ijrs.2025.143765pmid: N/A

Near misses share with safety accidents their origin but with no or reduced impact, thus providing organisations with the prediction of workplace accidents without experiencing actual cost and harmful consequences. Despite the effort to make near miss reporting a mandatory requirement, the issue of near miss under-reporting remains. Extant literature examines the key factors of near miss reporting behaviour as independent determinants, without considering the interaction of these factors and, more importantly, the interaction of the reporting behaviour and the safety climate at work. In the reciprocal safety culture model, safety behaviour is found to reciprocate with personal and organisational factors. This paper examines the key factors of near miss reporting and its interaction with safety climate through study review, and discusses the reciprocal relationship of near miss reporting behaviour. The study findings will serve as reference for safety researchers and practitioners for effective near miss management system and training development.

Zhang, Xiaohong; Li, Yuxin; Zhang, Jianfei; Gan, Jie; Zhang, Yongfei; Shen, Juan

doi: 10.1504/ijrs.2025.143779pmid: N/A

Joint decision-making for preventive maintenance and spare parts inventory in multi-component systems is crucial for industrial applications, especially as many expensive, complex equipments can be repaired and reused. This study investigates this joint decision-making using a discrete multi-state degradation model, focusing on the unique characteristics of repairable systems, including their structure and maintenance strategies. First, the operational interactions among production, maintenance, and inventory are analysed to derive state transition probability models for degradation and ordering processes. Subsequently, a sequential decision model is developed to minimise the total system cost, identifying preventive maintenance thresholds, inspection periods, and order batch sequences. To address the problem, a combination of global dynamic programming and genetic algorithms is employed. Numerical experiments with wind turbine spindles validate the decision model, demonstrating its effectiveness in addressing maintenance and inventory optimisation in repairable multi-unit systems while ensuring an optimal dynamic combination of decision variables.

Kumar, Ajay; Punia, Devender Singh

doi: 10.1504/ijrs.2025.143763pmid: N/A

This research paper presents a numerical technique for the computation of availability and reliability metrics as well as the Mean Time Between Failures (MTBF), pertaining to a thread rolling machine. Seven repaired sub-systems are studied under this system, namely: motor, hopper feeder, fixed die block, movable die block, drive belt, coolant and lubricant unit, and control panel are arranged in order. The performance of system considered is analysed based on the Markov approach and assumes that the Failure and Repair Rate (FRR) of each sub-system follows a normal distribution. The decision support system is developed for achieving the maximum availability of system. The comparison between particle swarm optimisation and the Markov process is done to achieve optimum availability. The results are compared with other optimisation approaches and the optimised availability using PSO is calculated as 96.24% while it is 95.08% using the Markov method. The particle swarm optimisation algorithm sustains a wide range of different component performance indicators for optimising system availability goals as well as various performance parameters.

Korbekandi, Mansooreh Moeini; Kazemi, Seyed Hosein; Danaeefard, Hassan

doi: 10.1504/ijrs.2025.143772pmid: N/A

This qualitative study examines methods for improving organisational reliability in Iranian public organisations. Sixteen (16) managers and experts from six (6) crisis-prone public agencies participated in the research, and a purposive sampling method was employed. Thematic analysis was used to analyse the collected data. The study's findings suggest that developing the soft dimensions of organisational reliability, such as cultivating human resources capabilities (including cognitive-psychological capabilities, attitudinal-behavioural capabilities), organisational capabilities (including planning capability, organising and coordinating capability, decision-making and delegation capability, preventive and supervisory capability), knowledge capabilities (including cultural capability, interactive-communicative capability, capability to learn, capability to innovate) and human resources management capabilities (including capability to attract, employ and retain human resources, evaluating and empowering capability), is crucial for enabling organisations to maintain their services during critical situations. The insights gained from this study can be helpful in crisis management in Iranian public organisations.