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This study aims to introduce the achievements and benefits of applying wheel/rail-force–based maintenance interval extension of the C80 series wagon in China.

Chinese wagons' existing maintenance strategy had left a certain safety margin for the characteristics of widely running range, unstable service environment and submission to transportation organization requirements. To reduce maintenance costs, China railway (CR) has attempted to extend the maintenance interval since 2020. The maintenance cycle of C80 series heavy haul wagons is extended by three months (no stable routing) or 50,000 km (regular routing). However, in the meantime, the alarming rate of the running state, a key index to reflect the severe degree of hunting stability, by the train performance detection system (TPDS) for the C80 series heavy haul wagons has increased significantly.

The present paper addresses a big data statistical way to evaluate the risk of allowing the C80 series heavy haul wagons to remain in operation longer than stipulated by the maintenance interval initial set. Through the maintenance and wayside-detector data, which is divided into three stages, the extension period (three months), the current maintenance period and the previous maintenance period, this method reveals the alarming rate of hunting was correlated with maintenance interval. The maintainability of wagons will be achieved by utilizing wagon performance degradation modeling with the state of the wheelset and the often-contact side bearing. This paper also proposes a statistical model to return to the average safety level of the previous maintenance period's baseline through correct alarming thresholds for unplanned corrective maintenance.

The paper proposes an approach to reduce safety risk due to maintenance interval extension by effective maintenance program. The results are expected to help the railway company make the optimal solution to balance safety and the economy.

According to regulations, aircraft must be in an airworthy condition before they can be operated. To ensure airworthiness, they must be maintained by an approved component maintenance organisation. This study is aimed to identify potential errors that may arise during the final inspection and certification process of aircraft components, categorise them, determine their consequences and quantify the associated risks. Any removed aircraft components must be sent to an approved aircraft component maintenance organisation for further maintenance and issuance of European Union Aviation Safety Agency (EASA) Form 1. Thereafter, a final inspection and certification process must be conducted by certifying staff to receive an EASA Form 1. This process is crucial because any errors during this stage can result in the installation of unsafe components in an aircraft.

The Systematic Human Error Reduction and Prediction Approach (SHERPA) method was used to identify potential errors. This method involved a review of the procedures of three maintenance organisations, individual interviews with ten subject matter experts and a consensus group of 14 certifying staff from different maintenance organisations to achieve the desired results.

In this study, 39 potential errors were identified during the final inspection and certification process. Furthermore, analysis revealed that 48.7% of these issues were attributed to checking errors, making it the most common type of error observed.

This study pinpoints the potential errors in the final inspection and certification of aircraft components. It offers maintenance organisations a roadmap to assess procedures, implement preventive measures and reduce the likelihood of these errors.

This paper aims to identify the different system approach using Building Information Modelling (BIM) technology that is equipped with decision making processes. Maintenance planning and management are integral components of the construction sector, serving the broader purpose of post-construction activities and processes. However, as Precast Concrete (PC) construction projects increase in scale and complexity, the interconnections among these activities and processes become apparent, leading to planning and performance management challenges. These challenges specifically affect the monitoring of façade components for corrective and preventive maintenance actions.

The concept of maintenance planning for façades, along with the main features of information and communication technology tools and techniques using building information modeling technology, is grounded in the analysis of numerous literature reviews in PC building scenarios.

This research focuses on an integrated system designed to analyze information and support decision-making in maintenance planning for PC buildings. It is based on robust data collection regarding concrete façades' failures and causes. The system aims to provide appropriate planning decisions and minimize the risk of façade failures throughout the building's lifetime.

The study concludes that implementing a research framework to develop such a system can significantly enhance the effectiveness of maintenance planning for façade design, construction and maintenance operations.

The level of deterioration of educational facilities, such as leaking classroom roofs, inadequate good seats, obsolete offices, broken shutters and doors, outdated school buildings, power plants and office equipment like ICT media, laboratories, offices and workshops, despite the involvement of Alumni association in the maintenance of educational facilities for the effective actualization of school objectives was a worrisome nightmare in Kogi state. This, therefore, prompted the researchers to explore the Alumni’s participation in plant maintenance for effective implementation of the universal basic education (UBE) programme in public junior secondary schools in Kogi state. The purpose of this study was guided by the research question which stated that to what extent does the Alumni Association participate in plant maintenance for effective implementation of the UBE programme in public junior secondary schools in Kogi state?

A quantitative research approach using a descriptive survey was adopted for the study. The sample was drawn using a proportionate stratified sampling technique comprising 387 participants which consisted of 191 (49%) urban junior secondary school principals and 196 (51%) rural principals in selected UBE junior secondary schools. Alumni’s Participation in Plant Maintenance Questionnaire was used as an instrument for data collection. The data were analysed with the aid of mean and standard deviation for the research question and z-test statistics at 0.05 level of significance and the value of z-crit. of 1.96 was used to determine the rejection or otherwise of the hypotheses.

The descriptive analysis revealed that the average mean set of 2.64 pointed to the fact that the respondents averagely agreed that there was a high extent to which Alumni participate in plant maintenance in urban than rural areas for effective implementation of the UBE programme in public junior secondary schools in Kogi state. This indicates that Alumni contribute to the management of UBE schools in Kogi state, especially in the areas of funding, infrastructural facilities, discipline, politics and quality control. This finding also shows that the contributions of the alumni to educational institutions are still unclear if they have made contributions to education in some areas and none in other areas making their relevance to plant maintenance unclear.

In terms of practical implications, the study has contributed to knowledge in that it is the first of this form of a study carried out in Kogi state, and as such the findings of the research will make contributions to the physique of information on plant maintenance for the profitable implementation of the UBE programme in Kogi state. Besides, the degree of plant preservation for the implementation of the UBE programme among applicable stakeholders in Kogi state is nevertheless at a low extent.

Researchers have conducted studies that show how non-state Alumni members contribute to the administration of education across different states. Some of these studies revealed that Alumni members have assisted schools in the provision of teaching and learning materials at the senior secondary or tertiary education level. There are no sufficient studies to show how these Alumni members have contributed to the implementation of the free education programme, especially in public junior secondary schools in Kogi state and this is the gap this study intends to fill.

Maintenance represents an indispensable role in the productive sector of the steel industry. The increasing use of operating with a high level of precision makes hydraulic systems one of the issues that require a high level of attention. This study aims to explore an empirical investigation for decreasing the occurrences of corrective maintenance of hydraulic systems in the context of Lean 4.0.

The maintenance model is developed based on action-research methodology through an empirical investigation, with nine stages. This approach aims to build a scenario to analyze and interpret the occurrences, seeking to implement and evaluate the actions to be performed. The undertaken initiatives demonstrate that this approach can be applied to optimize the maintenance of an organization.

The main contribution of this paper is to demonstrate that the applied method allows the overviewing results, with a qualitative approach concerning the maintenance actions and management processes to be considered, allowing a holistic understanding and contributing to the current literature. The results also indicated that Lean 4.0 has direct and mediating effects on maintenance performance.

This research intends to propose an evaluation framework with an interdimensional linkage between action research methodology and Lean 4.0, to explore an empirical investigation and contributing to understanding the actions to reduce the occurrences of hydraulic systems corrective maintenance in a production line in the steel industry.

This article evaluates maintenance management in an electric utility setting. It begins with a historical review before discussing present pressures on management and the new importance of maintenance costs. It discusses remedial, preventive and predictive maintenance, and the implications of each one of these maintenance functions.

In this article a model is presented concerning the organisation of the maintenance process of a quality system. This model consists of the composition of two existing models. The point of departure is a three‐level model of quality management. Then each of these three levels has been split up into two components called “system‐structural” and “social‐structural”. After introducing several maintenance concepts on a conceptual level, these concepts are applied to each of these levels and components.

In the cement industries maintenance cost consumes approximately 20‐25 per cent of the total production cost, which comes in the second rank after the energy cost. Therefore, cement plants in Jordan, taken as a case study that represents developing countries, are facing big challenges in reducing both energy and maintenance costs. In order to improve the maintenance system in the Fuhais plant, auditing of the existing maintenance system had been conducted, since this step is essential in improving any maintenance system. A quantitative (statistical) method was used in order to determine the weakness points in the existing maintenance system. Where based upon this auditing, several actions and strategies were put in a medium‐range plan to resolve the problems and improve the system.

Maintenance expenditures represent more than net profits of several manufacturing companies. Maintenance costs are easy to reduce in a year simply by deferring maintenance activities. Examines maintenance expenditures of US chemical companies from 1975 to 1991. Uses a nonlinear model based on seemingly unrelated regression analysis to identify various factors that influence the expenditures. Uses the ratios of maintenance spending to cost of property, plant and equipment, and buildings (gross plant), cost of property, plant and equipment, and buildings minus accumulated depreciation (net plant) and cost of goods sold as dependent variables. Shows that the age of property, plant and equipment, and buildings, company size, and return on assets have significant influence on the maintenance expenditures. The leverage ratios adversely affect the ratios of maintenance costs to gross plant and net plant.