Maintenance Resources Research Articles

A Review of the Factors Impacting Coffee Cultivators (Growers) and the use of Plantation Agriculture Schemes

Purpose: The major plantation crop in India is coffee, which is also a wide application marketed product on the global market. The study's primary objective is to identify and investigate the factors influencing coffee growers and to comprehend the difficulties faced by coffee Cultivators (Planters/growers) in the cultivation of coffee. The sustainability idea places a value on maintaining productive rural systems, using and regulating farm resources, preserving biodiversity, and taking environmental steps to restore soil fertility also to comprehend the programs relating to the Coffee Board's activities, agricultural finance, financial institutions, and the Karnataka & Codagu Planters Association. Design/Methodology/Approach: This review paper examines the review on coffee cultivators using secondary data from journal papers and scholarly research publications. Results/ Findings: There are several challenges faced by coffee producers. The notion of sustainability focuses mostly on conventional agricultural practices for maintaining life, the use and maintenance of agricultural resources, the preservation of biodiversity, and ecological methods to restore soil fertility. Our research shows that there is an absence of information on the how, where, and why of various changes in land use and landscape, as well as how these changes may impact coffee production, farmer livelihoods, ecosystem services, and other facets of sustainable development. These changes could have positive or negative effects on the sustainability of the coffee industry. The farmer faced a number of problems. Due to the Coffee Board's monopoly over the buying and selling of coffee, producers did not be paid fairly. Originality/Value: The focus of this research is to evaluate coffee Cultivators/ growers' access (Planters. List the initiatives that the Karnataka & Codagu Planters Association, financial institutions, the Coffee Board, agricultural financing, and several agricultural banks have implemented for coffee growers. Type of Paper: Review of literature.

National wetland mapping using remote-sensing-derived environmental variables, archive field data, and artificial intelligence

While wetland ecosystem services are widely recognized, the lack of fine-scale national inventories prevents successful implementation of conservation policies. Wetlands are difficult to map due to their complex fine-grained spatial pattern and fuzzy boundaries. However, the increasing amount of open high-spatial-resolution remote sensing data and accurately georeferenced field data archives, as well as progress in artificial intelligence (AI), provide opportunities for fine-scale national wetland mapping. The objective of this study was to map wetlands over mainland France (ca. 550,000 km2) by applying AI to environmental variables derived from remote sensing and archive field data. A random forest model was calibrated using spatial cross-validation according to the precision-recall area under the curve (PR-AUC) index using ca. 135,000 soil or flora plots from archive databases, as well as 5 m topographical variables derived from an airborne DTM and a geological map. The model was validated using an experimentally designed sampling strategy with ca. 3000 plots collected during a ground survey in 2021 along non-wetland/wetland transects. Map accuracy was then compared to those of nine existing wetland maps with global, European, or national coverage. The model-derived suitability map (PR-AUC 0.76) highlights the gradual boundaries and fine-grained pattern of wetlands. The binary map is significantly more accurate (F1-score 0.75, overall accuracy 0.67) than existing wetland maps. The approach and end-results are of important value for spatial planning and environmental management since the high-resolution suitability and binary maps enable more targeted conservation measures to support biodiversity conservation, water resources maintenance, and carbon storage.

Seakeeping Behavior of Axe Bow Patrol Boat with the Variation of Waterline Spline Type and Submerged Bow Depth

As a sovereign maritime country, Indonesia has been supported with patrol boats to maintain, protect, and manage the fishery and marine resources. Therefore, enhancing the patrol boat's operability is essentially needed for improving the resources maintenance and protection system. The implementation of an advanced hull forms might be conducted for the improvement of boat performance. The axe-bow hull form is one of the advanced hull forms that might improve the patrol boat operability, especially in high-speed conditions (Fr<0.60). However, in order to determine a reliable axe bow hull form, the body lines and the submerge bow depth should be defined appropriately. Based on the condition, this study focuses on the investigation of seakeeping performance of the developed axe-bow hull forms with variations of waterline spline type and submerged bow depth (the depth of foot). The waterline spline type configurations, which consist of the concave spline, convex spline, and straight spline, have been developed. At the same time, the submerged bow depths configuration have been proposed as 30%, 40%, and 50% of the boat draught. Both parameters should be recognized for the improvement of the axe bow hull seakeeping performance. The strip theory method has been adopted for the calculation of the seakeeping behavior. The results show that the waterline spline type has influenced the heave motion behavior. Otherwise, the larger depth of root might improve the pitch motion performance. It is indicated that suitable combination of spline type and depth of root might generate a reliable seakeeping performance of the axe-bow patrol boat.

Impact of Infrastructure on Socio-economic Development in Rural Areas: Evidence from the State of Haryana, India

With a background to enhance the individual’s capability and providing opportunities to rural community, rural development is unavoidable. Taking this idea of socio-economic enhancement at rural level, this paper examines the impact of rural infrastructure on the socio-economic development (SED) of rural people. Different dimensions related to rural infrastructure and SED are extracted in this paper using factor analysis. Regression analysis is employed using dimensions of rural infrastructure as independent variables and SED as dependent variables. Creation of water facilities as part of rural infrastructure was found to be the core dimension impacting the socio-economic life of the rural people followed by infrastructure maintenance and management of resources. Performance evaluation of panchayats, as a part of rural governance and execution of rural developmental activities, reveals that North Haryana leads on most of the parameters as compared to other parts of Haryana.

A 21st‐Century perspective on snow drought in the Upper Colorado River Basin

AbstractIn the Upper Colorado River Basin (UCRB), there is a deep reliance on seasonal snowpack for maintenance of water resources. The term “snow drought” has recently emerged to describe periods of anomalously low snowpack. Unique seasonal patterns in precipitation and temperature that drive snow drought can have distinct hydrologic signatures, and these relationships have not been carefully studied in the UCRB. Here we examine snow drought with a new classification scheme using peak snow water equivalent (SWE) and the ratio of basin‐wide modeled peak SWE to accumulated (onset to peak) precipitation (SWE/P) that clusters snow drought years into three distinct groups—“warm,” “dry,” and “warm & dry”—that minimize within‐group variance. Over the period 1916–2018, we identify 14 warm years ( = 160 mm; = 0.24), 24 dry years ( = 117 mm; = 0.35), and 21 warm & dry years ( = 94 mm; = 0.23). An elevation‐based analysis reveals two distinct patterns: warm snow droughts see severe SWE reductions primarily at lower (<2600 m) elevations (65% at lower elevations, 37% overall), whereas “dry” scenarios exhibit a consistent reduction across all elevations (39% overall). Using naturalized streamflow data, we also differentiate snow droughts by their earlier streamflow timing and decreased peakedness (warm: 7 days, 2%; dry: 7 days, 2%; warm & dry: 13 days, 5%). This research provides new insights into snow drought patterns relevant for regional water management.

A Proposed eFSR Blockchain System for Optimal Planning of Facility Services with Probabilistic Arrivals and Stochastic Service Durations

This research developed a framework for electronic planning and management of facility services utilizing blockchain technology. In this framework, an electronic Facility Service Record (eFSR) in blockchain form was developed to manage and control service orders received by its main service center from university facilities via an electronic system. Mathematical models were formulated to determine the optimal schedule and sequence of facility services under probabilistic service order arrivals and stochastic service durations. Each task of a facility service is treated as a block. The scheduling model then assigned blocks (service tasks) to skilled technicians on each scheduling period at a minimal total cost of delay, undertime, and overtime costs, while the sequencing model determined the start and finish times of each block during the planning period. The optimal information of blocks was then confirmed and shared through an electronic network among all relevant facilities and the service center. The developed framework was implemented in university facilities to plan and manage 47 service orders for a total of 140 tasks over a period of twelve days. The results showed that the proposed eFSR is effective in managing optimal service tasks and efficient in improving the utilization and performance of the service center resources. In conclusion, the proposed eFSR with the optimal facility service planning provides real-time assistance and decentralized technology to facilities managers when planning service tasks over multiple periods. These advantages will result in the effective management of facilities and a considerable savings in maintenance resources.

Looking back and forward to disaster readiness of supply chains: a systematic literature review

ABSTRACT Disasters can severely impact supply chains (SCs), including all stakeholders involved. This study aims to identify the impacts of major disasters on SCs and countermeasure strategies. Based on a systematic literature review, we analyse 160 documents to propose a taxonomy, research agenda, and framework. The taxonomy encompasses a list of impacts categorised into resource constraints, SC instability, outflow disruption, financial constraints, and consumption patterns. Strategies are divided into proactive (preventive SC collaboration, resources maintenance, digitalisation or automation, local SC, and human capabilities) and reactive (responsive SC collaboration, resources maintenance, information system, virtual marketplaces, and business continuity plans). The research agenda provides opportunities for future research based on the literature analysis. Finally, the framework presents the study findings using an integrated and holistic approach. The study expands the theoretical view related to the impacts of disasters on SCs and highlights the need to implement strategies to ensure the functioning of SCs during disasters.

Adapting Commercial Best Practices to U.S. Air Force Maintenance Scheduling

This paper presents how the Inspection Development Framework’s (IDF) novel maintenance scheduling technique increased aircraft utilization and availability in a sample of the United States Air Force’s (USAF) C-5M Super Galaxy fleet. The hypothesis tested was “Can we execute segmented maintenance requirements during ground time opportunities in order to optimize flying?” We applied IDF to decompose the C-5M’s five-day Home Station Check (HSC) inspection into smaller work packages that subordinate to operational requirements and maintenance resource availability. Ten HSCs at Dover and Travis Air Force Base (AFB) were modified using IDF and measured against a control group of traditional HSCs. While statistical significance was not achieved given the small sample size, anecdotal results demonstrate improvements in maintenance downtime, sortie count, and flight hours for the experimental group across the two bases. Specifically, the pathfinder’s observed results extrapolated to all HSCs at each base projected an additional 15 flying days per year at Dover AFB and 29 sorties per year at Travis AFB. These C-5M improvements serve as a proof-of-concept for the USAF adapting commercial best practices to address declining aircraft readiness. IDF’s more agile and dynamic scheduling techniques also enable easier adoption of Condition Based Maintenance through a more integrated approach to optimally schedule maintenance requirements.

Challenges of Rural Family Physician Policy in Iran.

As per the goals of the family physician program, it is essential to pay attention to the effectiveness and performance of FPP. Although the implementation of the FPP program is an important development in the discussion of rural health insurance and the provision of health services and referral systems in the country, the evidence suggests that by identifying challenges and taking appropriate action, this plan can be improved. This study aimed to investigate the challenges of rural Family Physician Policy (FPP) in northern Iran. This study comprised a mixed method. The former intended to identify the challenges of rural FFP using the narrative review method. To achieve a comprehensive list of challenges, a narrative review and content analysis were performed and semi-structured interviews were held with key stakeholders of FPP in the north of Iran, including physicians, managers, and policymakers. Identified challenges were categorized into eight categories including the weakness of the health insurance system, low comprehensiveness of executive guidelines, inappropriate recruitment and maintenance of human resources, weakness of cultural context, low efficacy of health information management system, poor educational effectiveness, inappropriate motivational mechanisms, and weakness of the referral system. As per the quantitative findings, "weakness of the referral system" and "inappropriate recruitment and maintenance of human resources" had the lowest and highest weaknesses, respectively. To address existing challenges in the rural FPP, a comprehensive plan of action should be developed with an emphasis on human resource management, health information management system, comprehensive rural health insurance, and legislation.

Artificial intelligence for the management of water projects and the management of water resources: A bibliographical analysis

This bibliographical review gives us a clear and summarized analysis of the management tools for a water infrastructure construction project and, a tool that allows the management of water resources through the application of everything analyzed and compiled in scientific articles obtained from the Scopus database and after that it was analyzed using the VOSviewer tool, which has the complexity of analyzing a large amount of data. This analysis was carried out from the appearance of the first related investigations until the year 2023, analysis graphs were obtained from representative levels of the words “artificial intelligence”, “project management” of “construction” and “water” resource with greater interest in the analysis. The results obtained allowed us to understand the great variety of technological tools that are available today to be able to manage the construction of a project through artificial intelligence and its components that work together, likewise the application of these tools is carried out by countries as well as the United States. The United States and China are the ones that represent the greatest interest in these investigations, however this contribution is minimal to be able to generate effective solutions since each project presents its particular characteristics that technology has to adapt to. The future of these projects was also analyzed, such as the management of water resources through intelligent technologies that allow the preservation, care and maintenance of water resources, in addition to this, it is emphasized that worldwide there are already problems of droughts, lack of water resources and shortages of water in some countries. This research has the purpose of an overview for decision-making in the execution of the project at the water level and after the management of the water resource, it is important to apply these tools for their different advantages and carry it out to large-scale works in Peru subsidized by the Peruvian state since they are the most responsible for ensuring the care, maintenance and preservation of water resources.

Preliminary evaluation of infrastructure and mobility services in mega-event: the Italian case study

Mega-events play an important role in the urban agenda of contemporary metropolises. This importance lies in the fact that such events are seen as possible catalysts for the urban development of a metropolis and more generally of a territory, and an opportunity to establish them as global cities.The planning and programming of a mega-event can be a country's showcase on the international landscape, and the mobility sector plays a significant role in defining its success or failure.Transport infrastructure generally requires high resources for both construction and maintenance even after the event. Therefore, in order to ensure a good outcome, it needs to be planned strategically at multiple levels; this condition brings a benefit to both the host city and the community. The main purpose of this study is to analyze a mega event like the Olympic Games by highlighting the relationship between existing mobility solutions and sustainable solutions considering also the surrounding area. This is to enable the creation of new intelligent transportation options.The Olympic Games, in fact, can represent a valuable opportunity to modernize the existing infrastructure of a country by improving the level of service and quality. The study considers, on the one hand, the expected demand for transport during the event and, on the other, the specific features of the different solutions that can be adopted to meet mobility needs.

Street trees and mental health: developing systems thinking-informed hypotheses using causal loop diagraming

We considered the relationship between street trees and mental health with the aim of developing systems thinking-informed hypotheses to improve the implementation and evaluation of this popular nature-based solution (NBS). We integrated qualitative and quantitative evidence using causal loop diagraming (CLD), and then further analyzed and extended these diagrams with the aid of systems archetypes to identify key system structures. From these CLDs, we identified three systems thinking-informed hypotheses: 1) although there are many ways in which street trees may improve mental health, tree health is critical in realizing many of these benefits and minimizing dis-benefits; 2) communities which have benefited from street trees in the past are more likely to be able to advocate for additional trees, further entrenching historical inequities in street tree distribution; and 3) efforts to address these inequities through new tree planting initiatives may ultimately fail or even exacerbate existing challenges if they do not include sustained resources for tree maintenance, with direct and indirect impacts on inequities in mental health. Using a systems thinking lens was a useful way to deeply consider a purported but under-theorized co-benefit of a popular nature-based solution and identify policy-relevant hypotheses to guide future research.

The Impact of Human Resources Maintenance on Enhancing Organizational Agility: An Applied Study on Secretariat of Northern Borders Region

The study aims to identify the impact of human resources maintenance on enhancing organizational agility. The research was built based on a set of studies and previous theoretical frameworks related to the research subject. The research data was collected at the application agency (the Municipality of the Northern Borders Region) through a survey list distributed to 384 employees in the application area. Statistical Package for Social Sciences (SPSS) was used to analyze the data and verify the validity of the research hypotheses. There are no statistically significant differences between the opinions of the study sample due to the variable of gender, level of education, and experience concerning the level of human resources maintenance programs in the Municipality of the Northern Borders Region and the existence of a relationship between the maintenance of human resources in its various dimensions and organizational agility, as well as a strong positive impact of human resources maintenance on organizational agility. The study recommended the need to pay attention to human resources maintenance programs while working to raise awareness of the importance of enhancing organizational agility and increasing adequate financial support for the application of the philosophy of human resources maintenance and that the policies and procedures of human resources maintenance programs focus on taking into account supporting the agility of the organizational structure and organizational procedures at the level of the institution.

Resilience-building in small island family-owned accommodation sector

This study aims to understand the crises experienced by family-owned accommodation businesses in small island contexts and how resilience is built alongside the development of their dynamic capabilities (sensing, seizing, and transforming) as they navigate through crises. The study uses a qualitative method and focuses on the experiences of tourism businesses operating in the islands of Boracay, Negros, and Siargao, which are among the top island destinations in the Philippines. Semi-structured interviews with 18 participants were conducted through 1-hour online video calls, phone calls, and written 2 interviews. Crises that affect tourism businesses are mostly due to external factors. Small islands are at high risk of natural hazards, but businesses do not consider typhoons and earthquakes as crises per se since they frequently experience these hazards. Family businesses have distinct strategies, such as knowledge transfer, maintenance of stable financial resources, infrastructure development, employee training, better marketing strategies, and a focus on sustainability to enhance their dynamic capabilities and build their resilience, thus making them more adaptive to future crises. However, government support for the local tourism industry is still needed to ensure a sustainable tourism industry. Dynamic capabilities and resilience are often linked with each other yet there is limited knowledge on how resilience is built specifically in the context of family-owned businesses in small island context. This study addresses this gap in the literature by using dynamic capabilities as a framework to understand resilience development. Resilience and dynamic capabilities are then adaptive strategies in crisis management.

The importance of human capital in agribusiness and rural development of Serbia

Human capital represents the most important resource and plays a driving force in the efficient development of economic entities and agricultural farms in agribusiness and rural development. Research in the paper aims to analyze and identify positive and negative trends in the structure and operations of the small businesses and agricultural farms, where human resources play a central role. So, the main goal of article is to emphasize research in the field of demographics (age, gender and educational structure, or migration tendencies), socio-cultural, or employment structures that have an impact on the maintenance, improvement and development of human resources in rural areas. Respecting modern approaches in management, marketing and cultural diversity, their application in the field of human resources will influence better understanding and greater investments and implementation of innovative approaches in human capital management in rural areas. Derived research results indicate the need for applying modern methods and techniques of management and culture in order to stop the negative migration trends and improve working and living conditions in rural space. Besides , its required the integration into innovative educational and technological flows, adaptation to cultural changes, encouragement of entrepreneurship and employment with the aim of sustainable development of human resources in rural areas.

Validation of the Model of Recruitment, Maintenance and Organization of Human Resources of North Khorasan Education

The aim of the current research was to validate the model of factors affecting the recruitment, retention and organization of human resources for education and training in North Khorasan. The current research is of the correlation type using structural equation modeling. The research community included all administrative employees of education in North Khorasan who were working in the period of 1402-1401. Therefore, Cochran's formula was used to estimate the sample size, and considering a 20% drop, the sample size was 320 people. The sampling method used in this study was stratified random sampling. To check the construct validity of the proposed model, first- and second-order confirmatory factor analysis was used with AMOS24 software, and to check the paradigm model of the research, the structural equation approach based on the partial least squares method was used with PLS-3 software, and the regression coefficients of direct effects for all paths The model was reported. Based on the findings, the standard factor loading for each of the main and sub-categories of each of the factors of the paradigm model of attracting, maintaining and organizing the human resources of education and training was more than 0.3 and approved. Convergent validity and divergent validity of the scales of the proposed model were also suitable. Also, the general fit of the model was confirmed and the sum of the structural model and the measurement model had good quality in explaining the research variables. Therefore, using the model obtained in the current research to carry out the successful process of attracting, maintaining and organizing human resources for successful education and training will be an effective method that has high credibility.

International Conference on Modern and Sustainable Agriculture (ICOMSA): Building Future Agriculture for Better World

The development of modern agriculture is inseparable from efforts to optimize agricultural land resources and increase sectoral competitiveness based on dynamic innovation following the challenges. Modern agriculture is characterized by applying technology and innovation that can be adapted to the conditions and needs of productive activities in the agricultural sector. Agricultural innovations can include technological and agricultural institutions' innovations that are in line with the times. Sustainable agriculture plays an essential role in sustaining natural resources for future generations. Sustainable agriculture emphasizes the need for the stability of natural ecosystems, including biological living systems and materials. This includes the maintenance of biological diversity, genetic resources, soil, water, and agro-climate resources, as well as environmental health and comfort. Moreover, the world is facing the challenge of global warming (the greenhouse effect). Modern and sustainable agriculture is essential for various problems in agriculture. Both are currently the focus of various stakeholders, such as farmers, researchers, and policymakers worldwide. Both are expected to become sustainable solutions to meet food and energy needs and minimize the impact of more significant environmental damage.International Conference on Modern Sustainable Agriculture was virtually-held in collaboration between the Faculty of Agriculture, IPB University with The International Society for Southeast Asian Agricultural Sciences (ISSAAS) Indonesian Chapter and Indonesian Society for Agronomy (PERAGI). Prof. Arif Satria, Rector of IPB University, Indonesia and Dr. Suwardi, M.Agr., President of International Society for Southeast Asian Agricultural Sciences (ISSAAS) Indonesian Chapter had given their speech as the keynote speakers for this conference. This conference also had 8 notable invited speakers from various international universities and research centers who delivered their expertise in modern and sustainable agriculture: Prof. Abdul Rashid Muhamed Shariff from Universiti Putra Malaysia, Malaysia, Prof. Makoto Yokohari from The University of Tokyo, Japan, Prof. Salmah Yaakop, Universiti Kebangsaan Malaysia, Malaysia, Prof. Masayoshi Shigyo from Yamaguchi University, Japan, Prof. Byoung Ryong Jeong from Gyeongsang National University, Republic of Korea, Prof. Greta Formaglio from National Institute for Agricultural Research, France, Prof. Anas D Susila from IPB University, Indonesia, and Prof. Hadi Susilo Arifin from IPB University, Indonesia had given their speech as invited speakers for this conference.List of Summary of Conference, Committee are available in this pdf.

Maintenance resource allocation – the business analytics usage in Industry 4.0 conditions

Purpose: The purpose of this publication is to present the applications of usage of business analytics in maintenance resources allocation. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The integration of business analytics with condition monitoring technologies heralds a transformative shift in maintenance resource allocation. Through the utilization of real-time data from sensors and monitoring devices, organizations can craft dynamic and adaptive maintenance strategies. These strategies, grounded in the current equipment condition, strike a nuanced balance between preventive and corrective actions. Business analytics enriches decision-making by factoring in critical elements such as equipment importance, operational impact, resource availability, and budget constraints. This integration instigates a paradigm shift, fostering proactive, adaptive, and efficient resource allocation, resulting in heightened asset reliability, diminished downtime, and amplified operational performance. The evolving synergy between business analytics and maintenance practices is becoming integral to the future of asset management and industrial operations. The diverse applications of business analytics in maintenance, as outlined in Table 1, underscore its versatility, encompassing predictive maintenance, condition monitoring, asset performance management, work order prioritization, resource optimization, cost-benefit analysis, inventory management, and performance metrics monitoring. Concurrently, the adoption of advanced software solutions in Industry 4.0 conditions, exemplified by IBM Maximo Asset Management, SAP Intelligent Asset Management, and Fiix CMMS, reflects a commitment to efficiency and innovation in maintenance resource allocation. Despite the substantial advantages, addressing challenges outlined in Table 4, including data quality, integration complexities, implementation costs, and skill development, is crucial. These challenges underscore the necessity for a strategic and holistic implementation approach that considers technology, personnel training, and organizational readiness. In essence, the evolution of maintenance resource allocation through business analytics signifies a data-driven revolution poised to optimize current operations and position organizations for sustained success amid rapid technological advancements and the transformations of Industry 4.0. Originality/value: Detailed analysis of business analytics in the case of maintenance resource allocation. Keywords: business analytics, Industry 4.0, digitalization, artificial intelligence, real-time monitoring; maintenance resource allocation. Category of the paper: literature review.

An Optimization Method for Maintenance Resource Allocation in Electrified Railway Catenary Systems

The traditional preventive maintenance plans of electrified railways are mainly formulated according to historical maintenance records and the experience of maintenance technicians. With the increase of the maintenance workload of catenary systems, traditional maintenance decision-making modes are hard to accommodate the demand for the high-efficiency and economical operation of catenary systems. To cater for the on-site maintenance demands, a conceptual framework towards the cost-effective optimization of catenary maintenance is proposed in this paper. The framework includes investigating and sorting the physical quantities in practical maintenance operations, modeling the maintenance operation process, establishing and solving the optimization model of the maintenance operator allocation with multiple optional objectives, and developing the human-machine application system, namely, the resource allocation system (RAS) with both hardware and software for electrified railway catenary maintenance. Field application shows that the implementation of RAS is superior to the current maintenance scheme in maintenance efficiency and cost, which can provide decision support for the scientific formulation of catenary system maintenance scheme, and promote the intelligent development of current maintenance modes.

Manufacturing industry-based optimal scheduling method of information system operation and maintenance resources

Manufacturing industry-based optimal scheduling method of information system operation and maintenance resources