Maintenance Practices Research Articles

Maintenance On Ice Tube Maker Machine CV. Sampoerna Prima Gemilang

The industrial ice machine, particularly the ice tube maker, requires regular maintenance to ensure optimal performance, extend its lifespan, and minimize unexpected breakdowns. Regular maintenance allows for timely inspection and cleaning of critical components, such as the condenser, evaporator, and water filtration system, to prevent clogging and hindering the machine's ability to produce ice at its optimal output. Preventative maintenance also plays a crucial role in identifying and addressing potential issues early on, preventing them from escalating into major problems and reducing the chances of unexpected breakdowns. This proactive approach reduces the risk of costly repairs and prolonged periods of downtime, ensuring that the ice machine is up and running when needed. Practical tips for preventative maintenance include regular cleaning and sanitizing, replacing water filters, inspecting and cleaning condenser coils, and scheduling professional maintenance. Prioritizing preventative maintenance for the ice tube maker is essential for maximizing performance, extending equipment lifespan, and minimizing downtime and costly repairs, which can have significant implications for businesses that rely on this equipment.
 Highlight :
 
 Preventative maintenance is crucial for optimal performance, lifespan, and breakdown prevention of ice tube makers.
 Regular cleaning, filter replacement, coil inspection, and professional service are key maintenance practices.
 Reduced downtime, repair costs, and maximized performance are significant benefits of proper maintenance.
 
 keywords : ice tube maker, maintenance, lifespan, performance, breakdown prevention.

Blockchain technology applications in maintaining heritage buildings

Preservation of cultural heritage in the face of human and natural disasters, as well as improper maintenance practices, is a crucial endeavor that must be undertaken throughout the lifespan of heritage buildings. In order to maximize the value derived from these assets and strike a harmonious balance between accurate documentation and performance optimization, asset management strategies have been employed. In recent years, the advent of innovative methodologies such as Building Information Modeling (BIM) and laser scanning has opened new possibilities for their application in various contexts. However, successful implementation of these methodologies faces a range of challenges, including limited knowledge, inexperienced teams, and reluctance to embrace change on the part of administrators. To address these obstacles and enhance asset management practices, the integration of BIM, Chatbot, and Blockchain methodology has emerged as a viable solution. This methodology not only facilitates the improvement of data security and user data capture but also streamlines the process of updating BIM models. In this research, we propose a data-driven Chatbot framework based on Blockchain, specifically designed to manage maintenance activities through the utilization of BIM. The proposed framework serves as a valuable tool for government authorities and asset managers seeking to adopt BIM for the preservation of heritage buildings. Comprising three key components – the BIM model, the Blockchain model, and the Chatbot model – the framework offers comprehensive support. The BIM model encompasses all relevant information pertaining to the management of the heritage building, while the Chatbot model replicates human interaction through text-based communication. Users can access up-to-date BIM data by posing predefined questions to the Chatbot. On the other hand, the Blockchain model serves as a secure and immutable record-keeping system, validating and verifying user updates, thereby fostering trust among stakeholders. This proposed model empowers asset stakeholders to request and update asset information via a trusted and reliable channel. To showcase the capabilities of the framework, we present a real-world case study centered on the Omar Toson Palace in Cairo, Egypt. Through this case study, we demonstrate the effectiveness and potential of our proposed framework in meeting the challenges associated with heritage building preservation.

Effects of cultural practices on soil respiration in hazelnut orchards and a comparison with an adjacent natural oak forest.

Soil respiration (RS) is one of the largest terrestrial sources of CO2 causing global warming and may vary according to land use and vegetation type. Türkiye is in the first place in the world in terms of area of hazelnut orchards that are generally converted from natural forests. The aim of this study was the comparison of the effects of cultural practices (pruning, fertilizing, and pruning+fertilizing) on RS in hazelnut orchards and that of the adjacent natural oak forest. Every trial site had a statistically similar annual mean RS, which ranged from 0.15 to 1.55 g C m-2 day-1. The RS on the sites was different only in the spring season and was similar in the other seasons. The RS of the pruned and fertilized hazelnut orchard (Hpf) in the spring was 58% greater than the unmaintained hazelnut orchard (Hc) and oak forest and 28% greater than the only fertilized hazelnut orchard (Hf). The RS of Hpf was also greater than other sites in most monthly measurements. While the positive correlation between soil moisture and RS was on an annual basis (r = 0.44), it was higher in summer (r = 0.61) and autumn (r = 0.55) seasons. The negative correlation between soil temperature and RS in the summer and autumn seasons evolved positively in winter. The results of the study suggest that the maintenance practices applied in the hazelnut garden could increase RS in the spring when soil moisture and temperature are optimal but have no effect in other seasons or on an annual basis.

Partnering With Patients With Sarcoidosis to Implement a Community Advisory Board

BackgroundCommunity advisory boards (CABs) are increasingly recognized as a means of incorporating patient experience into clinical practice and research. The power of community advisory boards is derived from engaging with community members as equals throughout the research process. Despite this, little is known of community member experience and views on best practices for running a CAB in a rare pulmonary disease. Research QuestionWhat are CAB members’ views on the best practices for CAB formation and maintenance in a rare pulmonary disease? Study Design and MethodsIn August 2021 we formed the Cleveland Clinic Sarcoidosis Health Partners (CC-HP) as a community advisory board (CAB) to direct research and clinic improvement initiatives at a quaternary sarcoidosis center. We collaboratively evaluated our process for formation and maintenance of the CC-HP with the patient members of the group. Through the series of reflection/debriefing discussions, CAB patient members developed a consensus account of salient obstacles and facilitators of forming and maintaining a CAB in a rare pulmonary disease. ResultsClinician and community members of the CC-HP found published guidelines to be an effective tool for structuring formation of a CAB in a rare pulmonary disease. Facilitators included a dedicated coordinator, collaborative development of projects, and a focus on improving clinical care. Obstacles to CAB functioning were formal structure, focus on projects with academic merit but no immediate impact to patients, and over reliance on digital resources. InterpretationBy centering our evaluation of our CAB on community member experience, we were able to both identify facilitators and impediments to CAB as well as improve our own processes.

CLOTHING CARE AND MAINTENANCE PRACTICES AMONG BOARDING SECONDARY SCHOOL STUDENTS IN ANAMBRA STATE

This study focused on clothing care and maintenance practices of boarding students in Anambra state. Specifically, the study identified various clothing care and maintenance practices among boarding secondary school students in Anambra State. Two research questions and two hypotheses guided the study. The study adopted descriptive survey research. The population comprised 20,114 respondents, multi-stage sampling technique was used to get a sample size of 329 respondents consisting of 298 students (123 male and 175 female students) and 31 teachers (8 house masters, 12 house mistresses and 11 Home Economics teachers). Structured questionnaire which was validated by three experts was used for data collection. The reliability of the instrument was determined using Crombach Alpha which yielded a reliability coefficient of 0.87. Data were analysed using mean and standard deviation. A mean of 2.50 was used as a cut off mean. The results of the study revealed that washing clothing items whenever it is dirty, removing stains as soon as it is noticed among others are clothing care and maintenance practices by boarding school students. The study recommended that efforts should be made by teachers and house masters/mistresses to inculcate the skills of proper clothing care and maintenance in boarding students to improve their self-hygiene and this will facilitate their adoption of proper ways of clothing care and maintenance practices.

Physics-informed neural networks to advance pavement engineering and management

Physics-informed neural networks (PINN) are machine learning (ML) algorithms that can bridge the gap between our understanding of physical phenomena and the corresponding empirical observations. This paper discusses applications of physics-integrated ML to advance pavement engineering. To demonstrate an example, a PINN model was pretrained to approximate the simulation of vehicles’ suspension responses to longitudinal road profiles. The parameters of the outer layers were finetuned to adapt model output to the standard International Roughness Index (IRI), while keeping the pretrained inner layers to preserve the embedded physical knowledge of the suspension behaviour. The PINN model showed low bias and standard error in predicting IRI values on training, test, and an independent dataset from an autonomous vehicle study by the Ford Motor Company. This approach to reconcile and supplement infrequent survey data with spatiotemporally continuous data (from connected vehicles) can enhance data-driven practices for pavement design, maintenance and asset management.

Minimization of Root Causes of Declining Productivity in a Manufacturing Company: A Case Study of Jocalis Company

This presents a comprehensive methodology employed to identify and address declining productivity issues within the JOCALIS Aluminium Roofing Sheet Manufacturing Company Limited, situated in Onitsha, Nigeria. The study encompasses various manufacturing divisions, with a primary focus on aluminium roofing sheet production of three lines involve in production of red, black, and milk colour coated roofing sheet. The research aims to uncover the root causes of defects in the manufacturing process and develop effective strategies for improvement. Key methods include data collection through interviews, company records, library research, and internet sources, followed by data analysis and root cause identification. From the result obtained, the average availability of critical machine like the roller machine after root cause analysis is increased by 10.62%. Also, the average MTBF (mean time between failure) of the critical machine after root cause analysis is increased by 13.66% and MTTR (mean time to repair) is decreased to 46.42% respectively. The applications and general impact of this study includes enhancing machine availability, reducing downtime, increasing efficiency, optimizing maintenance practices, implementing preventive maintenance schedules, improving equipment diagnostics, and prioritizing root cause analysis to reduce breakdowns.

The effects of dynamic learning and the forgetting process on an optimising modelling for full-service repair pricing contracts for medical devices

In order to improve the profitability and customer service management of original equipment manufacturers (OEMs) in a market where full-service (FS) and on-call service (OS) co-exist, this article extends the optimising modelling for pricing FS repair contracts with the effects of dynamic learning and forgetting. Along with considering autonomous learning in maintenance practice, this study also analyses how induced learning and forgetting process in a workplace put impact on the pricing optimising model of FS contracts in the portfolio of FS and OS. A numerical analysis based on real data from a medical industry proves that the enhanced FS pricing model discussed here has two main advantages: (1) It could prominently improve repair efficiency, and (2) It help OEMs gain better profits compared to the original FS model and the sole OS maintenance. Sensitivity analysis shows that if internal failure rate increases, the optimised FS price rises gradually until reaching the maximum value, and profitability to the OEM increases overall; if frequency of induced learning goes up, the optimal FS price rises after a short-term downward trend, with a stable profitability to the OEM.

Evaluation of medical equipment maintenance and skilled manpower requirement among private dental centres in Riyadh, Saudi Arabia: A pilot study.

Adequate equipment maintenance is necessary to ensure efficient dental care facilities and satisfactory medical equipment performance. This study aimed to assess maintenance practices and manpower adequacy in private dental centres (DCs) across Riyadh, Saudi Arabia. A questionnaire was designed to evaluate equipment maintenance and manpower strength based on international and national standards. Thirty-three private DCs were visited in-person with the designed questionnaire to conduct the study. The Chi-square test and t-test were performed. Only 21 dental centres had a scheduled maintenance plan for medical equipment, whereas the rest had no plan. Furthermore, only 22 DCs maintained equipment maintenance records, while 11 DCs did not have any records. Additionally, the study found a lack of trained personnel to handle medical equipment and overall inadequate maintenance practices. Significant differences were observed between the responses for many questions (p< 0.05). These findings increase health risks to both the patient and the user. To address these issues, DC administrators should implement stricter measures to adhere to local DCs standards and hire qualified personnel who can periodically maintain and repair medical equipment.

Green streetism precarity in Kumasi, Ghana

There is much interest in urban green space planning and management; yet little attention has been paid to the notions of green streetism in African cities. This paper responds to this lacuna by using a case study of Kumasi (Ghana) to: (i) examine the character of urban green space; (ii) analyze agency knowledge on green streetism; and (iii) assess agency strategies for changing the phase of green streetism. Using secondary document analysis and interview with seven urban planning agencies, findings show a rapid decline of urban green space in Kumasi from about 31% of the total land area in 2013 to about 3% in 2022. Despite all respondents reporting knowledge on green streetism, they identified resource constraints, nonchalant attitude of some urban citizens and poor maintenance practices as major barriers to green streetism development and management in the city. Strategies for reviving green streetism are further discussed, within the context of African urbanization.

Evaluation of Awareness Toward Various Treatment Options and Maintenance Practices among Removable Partial and Complete Denture Patients in Western Maharashtra – A Questionnaire-Based Study

ABSTRACT Introduction: Researchers must concentrate their focus on whether patients understand various treatment options available among removable complete and partial denture patients and whether they are aware of the maintenance protocol of the prosthesis Materials and Methods: All the patients who completed removable partial or complete denture treatment in a period of 6 months were included in the study. Collected data were statistically analyzed using Chi-square test at a significance level of P &lt; 0.05. Results: Awareness needs to be increased regarding the treatment options available for removable complete and partial denture treatment causes because many subjects in this study were only aware of the removable partial denture and complete denture treatment for missing teeth and not the other options, especially among individuals in the lower socioeconomic group Conclusion: The findings indicate that awareness needs to be increased regarding the functions of prostheses such as esthetics and phonetics because many subjects in this study were only aware of the masticatory function performed by prosthesis.

A Comparative Study of Practice, Perception, and Attitude of Undergraduate Healthcare Students towards Toothbrush Selection, Maintenance and Replacement in RAS Al-Khaimah, United Arab Emirates.

Oral hygiene is one of the most significant lifestyle-related determinants of well-being. Health sciences undergraduate students are not only future healthcare providers but also educators of society in maintaining the overall general health. The aim of the study was to assess the practice, perception, and attitude of healthcare students in RAS Al-Khaimah toward toothbrush selection, maintenance, and replacement. A prospective cross-sectional study was conducted among medicine, dentistry, pharmacy, and nursing undergraduate students. The data on demography, practice, perception, and attitude was collected using a self-administered structured questionnaire. It was evaluated using the Chi-square test and Spearman's rho test. Out of 318 participating students of both genders, medicine (26.4%), dentistry (25.7%), pharmacy (35.8%), and nursing (12.0%) students showed satisfactory practice (51.8%) and perception (77.3%) of toothbrush selection, maintenance, and replacement. A significant difference (p = 0.000) in attitude was observed across the different disciplines. The study group demonstrated a satisfactory level of understanding regarding the selection, maintenance and replacement of toothbrush to ensure oral care and hygiene. Educating the health sciences students during their undergraduate studies with more general health topics such as oral hygiene is of utmost need, and community engagements, interdisciplinary learning approaches and curriculum updates can help to achieve this. This study draws the attention for the inclusion of health-related topics in the curriculum that may impact on community health and education. How to cite this article: Bhongade BA, Ali AA, Makade CS, et al. A Comparative Study of Practice, Perception, and Attitude of Undergraduate Healthcare Students towards Toothbrush Selection, Maintenance and Replacement in RAS Al-Khaimah, United Arab Emirates. J Contemp Dent Pract 2023;24(12):974-980.

Assessment of physical condition and status of maintenance of public primary schools infrastructure in Port Harcourt metropolis

This study presents a comprehensive assessment of the physical condition and maintenance status of public primary school infrastructure in Port Harcourt Metropolis. The investigation delves into various aspects, including the establishment and age of schools, building components, furniture conditions, security infrastructure, basic amenities, and environmental elements. The majority of schools were established after 1960, with a notable concentration of building construction between 2010-2020, indicating recent infrastructural development. While essential components such as classrooms, administrative offices, auditoriums, libraries, and ICT facilities are universally present, variations in the conditions of roofs, ceilings, and electricity supply from the national grid emphasize the need for targeted maintenance efforts. The study identifies a commendable commitment to transparency and accountability, as evidenced by the reporting of infrastructure conditions to higher authorities. However, a significant percentage reporting no major maintenance in the past 5 years raises concerns about the longevity of infrastructure. Recommendations include prioritizing maintenance on critical components, strategic investments in security infrastructure, and fostering sustainability through ongoing maintenance practices. The findings underscore the importance of a multifaceted approach to infrastructure management, aiming for a conducive and sustainable learning environment in public primary schools. The commitment to transparency, coupled with proactive maintenance strategies, is essential for fostering an environment conducive to effective teaching and learning, ultimately contributing to the overall well-being of the educational system in Port Harcourt Metropolis.

Anchor Heave-Up Failure of MV. Warih Mas in Palu Bay

Shipping safety is important not only when docked at the port or when the ship is sailing but also when the ship is at anchor. This study aims to determine the cause of the anchor heave-up failure of MV Warih Mas in Palu Bay and to explore factors, strategies, and maintenance practices related to anchor equipment on the ship. The study uses a qualitative approach, and the data will be presented through descriptive analysis. The study participants include the ship's master and crew. Data collection methods include direct observation, in-depth interviews, and documentation studies, while data analysis consists of three stages: data reduction, data presentation, and verification. The results indicate that the cause of the failure was corrosion of the anchor chain due to prolonged exposure to water in the chain locker. Three strategies were attempted, but only one was successful: Inserting iron into the chain link of the anchor on the windlass drum to allow the chain to rotate. The crew did not carry out maintenance on the anchor equipment, possibly due to a lack of skills and training.

Sustainability Indices and RAM Analysis for Maintenance Decision Making Considering Environmental Sustainability

Maintenance is becoming an increasingly green process, aiming to simultaneously minimize the impact of assets on the economy, society, and the surrounding environment while also mitigating any adverse consequences arising from maintenance activities. To manage maintenance from a sustainable perspective, appropriate indices able to represent environmental assessment results in an aggregated and synthetic way are necessary, along with rational decision-making tools able to simulate different maintenance alternatives considering various sustainability dimensions. In response to this challenge, a methodology rooted in sustainability indices and RAM analysis is proposed to support decision making with respect to sustainable maintenance practices. By applying the proposed methodology to a proof of concept we demonstrate that the approach enables the evaluation of both the environmental and economic impacts of different maintenance activities. Furthermore, the methodology facilitates the identification of specific environmental dimensions that need improvement, in addition to discerning the distinct contributions of individual components to the environmental and economic impacts at the system level. These insights offer valuable information to support informed decision making regarding the allocation of internal resources for impact mitigation. The obtained results underscore the potential applicability of this approach to industrial systems, signifying its contribution to the goal of achieving sustainable maintenance practices.

Predictive Maintenance of Machinery with Rotating Parts Using Convolutional Neural Networks

All kinds of vessels consist of dozens of complex machineries with rotating parts and electric motors that operate continuously in harsh environments with excess temperature, humidity, vibration, fatigue, and load. A breakdown or malfunction in one of these machineries can significantly impact a vessel’s operation and safety and, consequently, the safety of the crew and the environment. To maintain operational efficiency and seaworthiness, the shipping industry invests substantial resources in preventive maintenance and repairs. This study presents the economic and technical benefits of predictive maintenance over traditional preventive maintenance and repair by replacement approaches in the maritime domain. By leveraging modern technology and artificial intelligence, we can analyze the operating conditions of machinery by obtaining measurements either from sensors permanently installed on the machinery or by utilizing portable measuring instruments. This facilitates the early identification of potential damage, thereby enabling efficient strategizing for future maintenance and repair endeavors. In this paper, we propose and develop a convolutional neural network that is fed with raw vibration measurements acquired in a laboratory environment from the ball bearings of a motor. Then, we investigate whether the proposed network can accurately detect the functional state of ball bearings and categorize any possible failures present, contributing to improved maintenance practices in the shipping industry.

School Facilities Maintenance Strategies and Quality Education Delivery in Public Junior Secondary Schools, Lagos State

This study used five assumptions to guide the examination of the techniques for maintaining school infrastructure and providing high-quality education in public junior secondary schools in Lagos State Education District 1. All 42 public junior secondary school principals and teachers in the chosen education district made up the study's population, which used a descriptive and correlational research approach. 216 principals and teachers made up the sample, which was selected using multistage - stratified, simple random, and purposive selection approaches from the sampled 18 schools. A self-constructed questionnaire with two dimensions, one with 20 items on quality education delivery and the other dimension on school facilities maintenance strategies, were used to collect data for the study. For each dimension, the reliability coefficients for this instrument's were found to be 0.77 and 0.79, respectively with a face and content validity being ensured. Person product moment correlation analysis was used as an inferential statistical technique to analyze the data at the 0.05 level of significance. The research findings indicates a noteworthy correlation between preventative maintenance strategy(r = .813; N=216; p&lt; .05), corrective maintenance strategy (r = .786; N=216; p&lt; .05), routine maintenance strategy (r = .765; N=216; p&lt; .05), emergency maintenance strategy (r = .745; N=216; p&lt; .05), remedial maintenance strategy (r = .925; N=216; p&lt; .05) and quality education delivery in Lagos State Education District I. The study thereafter concluded that school facilities maintenance strategies is apparently a major determining factor of quality education delivery in public junior secondary schools in Lagos State Education District I. Thus, the study's recommendations include, among other things, the requirement that maintenance practices and culture be ingrained in everyone and that all parties involved in the education sector bear responsibility for them in order to guarantee the delivery of high-quality education.

Wildlife-Friendly Landscaping: Connecting Professionals and the Public

In the United States, the green industry is a billion-dollar sector that generates millions of employment opportunities annually. Green industry professionals, homeowners, and renters all play important roles in deciding how to design and maintain urban and residential landscapes. Decades of research have shown a need to accommodate wildlife and pollinator conservation efforts in urbanized landscape design and maintenance. The studies summarized in this publication were designed to evaluate the perceptions of green industry professionals and consumers regarding wildlife-friendly landscape maintenance practices to develop insights for future landscape conservation efforts that protect wildlife in Florida’s and the US’s rapidly expanding urban areas. This publication is intended for program planners, educators, Extension agents, green industry professionals, policymakers, and researchers working to promote pollinators and biodiversity in urban and residential landscapes.

Assessing indoor air quality and health risks of air conditioner usage in residential buildings under hot and arid climatic conditions: insights from field studies and questionnaire analysis

Abstract The prevalence of air conditioners (ACs) in regions with hot and arid climates raises significant health concerns for users. This study investigates the impact of AC usage on health and indoor air quality in Kenadsa, Bechar, located in southwest Algeria. A questionnaire survey was conducted among 300 residents to identify symptoms associated with AC use. Additionally, dust accumulation in filters was measured in 20 households with varying occupancy types to assess the relationship between particle generation and room usage. Temperature and relative humidity were also recorded in two rooms, one equipped with an evaporative cooler and the other with a split-type AC, to compare their thermal performance. The findings reveal that occupant behavior and building usage significantly contribute to particle generation, with AC operating speed notably impacting filter contamination. Evaporative coolers increase temperature and humidity levels compared to split-type ACs, with their effectiveness depending on proper ventilation. Most respondents begin using ACs in May, prefer operating them during midday and nighttime, and express concerns about thermal shock and AC lifespan. Furthermore, many participants are lax in dust removal, potentially worsening indoor air pollution. A significant portion of respondents report various health issues linked to prolonged exposure to conditioned air but show limited awareness of AC filter maintenance and its health implications. This study highlights the complex interplay between human behavior, AC usage patterns, and indoor air quality, emphasizing the need for targeted interventions to promote responsible AC use, improve filter maintenance practices, and mitigate associated health risks in hot and dry climates.

Identification of Criteria for Enabling the Adoption of Sustainable Maintenance Practice: An Umbrella Review

The evolution from traditional industrial maintenance to sustainable maintenance (SM) is pivotal within an existing industrial ecosystem. This study, utilising an umbrella review (UR), critically examines this transition, highlighting its increased importance in maintenance decision-making (MDM). Using a sample (n = 20) of reviews, we synthesised meta-, methodological-, and content-based evidence and performed bibliometric, thematic and statistical analyses. For the bibliometric and thematic/conceptual analyses, we used the R bibliometrix package. The results show that the early research focuses mainly on theoretical aspects, while recent studies examine the practical implications. Also, comprehensive studies evaluating the benefits of implementing environmental and social aspects within MDM are still lacking. For that reason, we switched the attention to content-based data, from which we identified 43 distinct criteria discussed. For the analysis of criteria, the Bayesian Network Analysis with Gaussian Copula Graphical Model (BNA-GCGM) method was used. Although the evidence shows that environmental pollution, energy consumption and health and safety of workers are the most discussed criteria, the BNA-GCGM suggests that labour costs, resource consumption, employee satisfaction and energy consumption, among others, are the most influential criteria in the network analysis. Interestingly, after distinguishing studies into pre- and post-2021 research, the results show that pre-2021 research is primarily focused on economic and technical factors, reflecting a profit-oriented approach. The post-2021 analysis suggests a discernible shift towards more balanced considerations by incorporating social and environmental factors, suggesting a more socially responsible approach. Finally, while SM is gaining momentum, further empirical and practical research are required to demonstrate the advantages that SM offers in the light of the upcoming Industry 5.0.