Hierarchical Management System Research Articles

Islamic Management and Leadership at the Musthafawiyah Purbabaru Islamic Boarding School

The Musthafawiyah Islamic Boarding School in North Sumatra stands as one of the oldest and largest pesantren, showcasing resilience through its adherence to Islamic values in management and leadership. This study aims to explore the management strategies and distinctive leadership models implemented at this pesantren, alongside their impact on shaping students' character. Using a qualitative approach and case study method, data were gathered through in-depth interviews, direct observations, and document analysis. The findings reveal a well-structured hierarchical management system with clearly defined responsibilities. Leadership at the pesantren is rooted in spiritual authority, emphasizing Islamic values such as justice, consultation, and exemplary behavior. This leadership model significantly contributes to the formation of students who are religious, self-reliant, and ethical. Nonetheless, challenges such as modernization, technological advancements, and global demands require innovative adaptations without compromising the pesantren's traditional essence. This research highlights the importance of integrating Islamic principles into pesantren management and leadership as a means of enhancing educational quality and navigating contemporary challenges. Recommendations include strengthening human resource capabilities, incorporating technology into teaching, and aligning the curriculum with global needs. These findings aim to inspire the development of Islamic education models in other pesantren and beyond.

Constructing Safety Management Systems in Modern Industry and Trade Enterprises: A STAMP-Based Approach

With the burgeoning landscape of new enterprises and business paradigms, industrial and trade enterprises are facing escalating pressure to ensure operational safety. Conventional safety management mechanisms have proven to be inadequate for adapting to the dynamic market demands and intricacies of modern production environments. To improve safety management practices, this study integrates complex network theory to dissect the causal chains underlying accidents in industry and trade enterprises. A network model is established to elucidate the factors contributing to accidents and leverage datasets from safety inspections to construct a repository of latent safety risks. To address deficiencies in extant safety frameworks, a comprehensive safety management evaluation system is formulated, comprising ten primary evaluation indices and 30 secondary metrics. Based on the established frameworks, such as ISO 45001 for occupational health and safety management systems (OHSMS), standardized safety production protocols, and risk hierarchical management and control systems and hidden hazard identification and treatment systems (dual prevention systems), a holistic safety management system (SMS) is synthesized on the basis of system-theoretic accident model and process (STAMP) theory. This systematic approach culminates in a robust framework tailored to modern industrial and trade enterprises, fostering flexibility and efficacy in safety management capabilities. This case analysis underscores the model’s ability to enhance its safety management proficiency, thereby amplifying its relevance in fortifying enterprise operations and fostering sustainable growth. This study represents a pivotal step toward augmenting safety management capacities within the industrial and trade enterprises to safeguard enterprise vitality and advance sustainable business practices.

Fault-tolerant hierarchical energy management system for an electrical power system on more-electric aircraft

Fault-tolerant hierarchical energy management system for an electrical power system on more-electric aircraft

Energy exchange optimization among multiple geolocated microgrids: A coalition formation approach for cost reduction

Energy exchange optimization among multiple geolocated microgrids: A coalition formation approach for cost reduction

Development of an Intelligent Risk Hierarchical Management System on Pulmonary Aspiration for the Elderly.

Development of an Intelligent Risk Hierarchical Management System on Pulmonary Aspiration for the Elderly.

Hierarchical transactive home energy management system groups coordination through multi-level consensus sharing-based distributed ADMM

Hierarchical transactive home energy management system groups coordination through multi-level consensus sharing-based distributed ADMM

Novel Hierarchical Energy Management System for Enhanced Black Start Capabilities at Distribution and Transmission Networks

A novel energy management system featuring a unique framework involving multiple hierarchical controllers at the distribution and transmission network levels is proposed. The unique objective function of this energy management system is designed to enhance system inertia during black start and optimise load shedding. The objective function further aims to increase reliance on renewable energy sources, prioritising solar power along with battery and fuel cell technologies. This work delves deeply into the dynamics of multi-area power networks, where some areas possess black start capabilities (BSAs) while others do not (NBSAs). The proposed energy management system specifically explores the complex interplay between these black start capabilities and the hierarchical load restoration order. During grid blackouts, the systems located in BSA areas are tasked with first restoring essential loads in their own regions before extending aid to the adjacent NBSA areas, taking into account factors such as their available reserved power and geographical proximity. This work is extended to analyse complex multi-area power network architectures. This extended analysis provides invaluable insights for enhancing power restoration processes and facilitating the large-scale integration of sustainable energy solutions in complex systems. The proposed energy management system is validated using the IEEE 39-Bus network, which consists of ten distinct areas, each differing in their black start capabilities. The results demonstrate the superiority of the proposed system.

A “twelve-section ultrasonic screening and diagnosis method” and management system for screening and treating neonatal congenital heart disease at the grassroots level in Tang County, Hebei Province, China

BackgroundTo explore a method for screening and diagnosing neonatal congenital heart disease (CHD) applicable to grassroots level, evaluate the prevalence of CHD, and establish a hierarchical management system for CHD screening and treatment at the grassroots level.MethodsA total of 24,253 newborns born in Tang County between January 2016 and December 2020 were consecutively enrolled and screened by trained primary physicians via the “twelve-section ultrasonic screening and diagnosis method” (referred to as the “twelve-section method”). Specialized staff from the CHD Screening and Diagnosis Center of Hebei Children’s Hospital regularly visited the local area for definite diagnosis of CHD in newborns who screened positive. Newborns with CHD were managed according to the hierarchical management system.ResultsThe centre confirmed that, except for 2 newborns with patent ductus arteriosus missed in the diagnosis of ventricular septal defect combined with severe pulmonary hypertension, newborns with other isolated or concomitant simple CHDs were identified at the grassroots level. The sensitivity, specificity and diagnostic coincidence rate of the twelve-section method for screening complex CHD were 92%, 99.6% and 84%, respectively. A total of 301 children with CHD were identified. The overall CHD prevalence was 12.4‰. According to the hierarchical management system, 113 patients with simple CHD recovered spontaneously during local follow-up, 48 patients continued local follow-up, 106 patients were referred to the centre for surgery (including 17 patients with severe CHD and 89 patients with progressive CHD), 1 patient died without surgery, and 8 patients were lost to follow-up. Eighteen patients with complex CHD were directly referred to the centre for surgery, 3 patients died without surgery, and 4 patients were lost to follow-up. Most patients who received early intervention achieved satisfactory results. The mortality rate of CHD was approximately 28.86 per 100,000 children.ConclusionsThe “twelve-section method” is suitable for screening neonatal CHD at the grassroots level. The establishment of a hierarchical management system for CHD screening and treatment is conducive to the scientific management of CHD, which has important clinical and social significance for early detection, early intervention, reduction in mortality and improvement of the prognosis of complex and severe CHDs.

Research on Regional Early Warning of Flash Flood Disasters in Small Watershed Based on Multi-source Early Warning Data Fusion

The research on the early warning method of flash floods serves as an important groundwork for the prediction and early warning of flash flood disasters. Being restricted by various objective factors such as lack of data and complicated formation mechanism of flash flood disasters in small watersheds, accurate and targeted early warning has consistently been a weak link within the flash flood control system. In this regard, focusing on a series of problems, such as "short risk forecasting period", "frequent missing and false reports" and "poor early warning accuracy", this research explores a hierarchical partition management system that fulfills the demands of early warning based on the analysis of watershed lag time and risk situation. Meanwhile, based on the comprehensive consideration of the characteristics of various multi-source early warning data, such as meteorological forecast rainfall and monitoring rainfall water level, this research proposes corresponding early warning modes for different types of early warning objects. On these grounds, this research applies the proposed early warning system to Xiaguan Creek in Shangyu District, Zhejiang Province. Relevant findings indicate that the effective extension of the forecasting period, coupled with the reduction of the phenomenon of "missing and false reports", provides scientific support for the early warning and transfer decision related to flash floods.

How the River Chief System Achieved River Pollution Control: Analysis Based on AGIL Paradigm

The implementation of China’s water pollution control policy is facing challenges. The current situation requires that China’s water pollution control must be transformed from a hierarchical management system to a collaborative governance model, which has led to the emergence of the river chief system (RCS). Firstly, this research analyzes the water quality in the lower Yangtze River Basin in the past five years, and the results show that the overall water quality of the study area has improved. Secondly, this research is conducted from the perspective of the four functions of adaptation (A), goal attainment (G), integration (I), and latency pattern maintenance (L), using the AGIL paradigm as a model to analyze the operation of RCS and carry out a cross-study on environmental protection and public policy, which provides a precedent for future public policy research and discussion. Finally, based on the AGIL paradigm, this research puts forward the development direction of RCS, which provides experience and theoretical support for other countries’ watershed pollution research.

Stereotypical ideas in the perception of spatial marginality of urban outskirts

According to the territorial-regional development policy of Russia, a rigid structuring of the country's space is applied through the prism of a hierarchical management system. As a result, the structure of the space of the entire country was fixed through a system of boundaries, the markers of which highlight management objects at the national level, subject of the Russian Federation, territory, region, district. This article will present the main stereotypes that influence the creation of the perception of new territories in the nature of marginality. As is known, the formation of marginal communities can be traced throughout the history of civilizations. It is important to separate geographical marginality from spatial marginality. In geography, there is the concept of “marginal territories”, which can be considered those located on the remote periphery of the region or in isolated places. Such a phenomenon as spatial marginality is characterized precisely by the prevailing stereotypes in society about a specific area. Urban spatial perception critically influences human behavior and emotional responses, emphasizing the need to align urban spaces with human needs to improve the quality of urban life. However, the classification of urban architecture based on functionality is subject to biases stemming from discrepancies between objective representation and subjective perception. These biases can lead to city planning and designs that fail to adequately meet the needs and preferences of city residents, negatively impacting their quality of life and the overall functionality of the city. In this study, we apply machine learning to uncover these biases in urban spatial perception research using a three-step methodology: objective mapping, subjective perception analysis, and perceptual bias assessment. Our results show that machine learning can reveal hidden patterns in this area of research with significant implications for urban planning and design. Of particular note, the study found significant discrepancies in the distribution centroids between commercial buildings and residential or public buildings. This result sheds light on the spatial organization characteristics of urban architectural functions, serving as a valuable guide for urban planning and development. Moreover, it reveals the advantages and disadvantages of different data sources and methods for interpreting urban spatial perception, paving the way to a more complete understanding of the subject. These results highlight the importance of integrating both objective mapping and subjective perspectives when classifying the functionality of urban architecture.

Construction and implement of hierarchical management system for specialist nurses based on Patricia Benner's theory.

To construct a hierarchical management system for specialist nurses based on Patricia Benner's theory, and evaluate its implement effect, so as to provide reference for the hierarchical management of specialist nurses. Literature retrieval, semi-structured interview and Delphi method were conducted for initially formulation of the draft of hierarchical management system for specialist nurses. Forty-three specialist nurses and 14 nursing managers were selected for the study, using a non-randomized controlled experimental study design, and at the end of the study, the job satisfaction, job engagement, job exuberance, advice behaviors and nursing managers' overall job satisfaction of specialist nurses were compared before and after the hierarchical management. This study constructed a hierarchical management system for specialist nurses. The differences in specialist nurses' job satisfaction, job engagement, job exuberance and constructive behaviors before and after hierarchical management were statistically significant (p < 0.05), and the differences in the nursing managers' assessment of specialist nurses' overall job satisfaction were statistically significant (p < 0.05). The hierarchical management system of specialist nurses based on Patricia Benner's theory improves the quality of hierarchical management of specialist nurses, which could improve the job satisfaction of specialist nurses. The system could provide guidance and reference for hierarchical management system of specialist nurses.

Optimal Hierarchical Energy Management System With Plug-and-Play Capability for Neighborhood Home Microgrids

Optimal Hierarchical Energy Management System With Plug-and-Play Capability for Neighborhood Home Microgrids

Analysis of Hierarchical Communication Network Management System with Limited Reliability of System Elements

The mathematical apparatus of the queuing networks theory is used when analyzing the hierarchical control system of communication networks. The peculiarity and scientific novelty of the constructed model lies in the fact that the limited reliability of the system elements is taken into account. The presented results of numerical calculations demonstrate the influence of the availability coefficient of the control system elements on the indicators characterizing the time of the system’s reaction upon requests related to the maintenance and operation of network facilities.

Risk Assessment of an Automated Document Management System in a Hierarchical Management System

The functioning of any document management system in the infrastructure of a hierarchical process control system is to ensure uninterrupted work with documents at all stages of their use for the system's subjects, from designers, administrators to users and executors. Only with a well-established security system with an authorization management system can an automated document management system (ADMS) achieve efficient operation. In its turn, the security system of the automated document management system is based on the developed security policy and risk management system. The paper considers the infrastructure of an automated document management system, methods for assessing risk levels, which determine the choice of security tools and determining the level of security for a hierarchical management system. The proposed research results have been tested in the functioning of security systems at airports with a hierarchical structure of process control.

Eigen: End-to-End Resource Optimization for Large-Scale Databases on the Cloud

Increasingly, cloud database vendors host large-scale geographically distributed clusters to provide cloud database services. When managing the clusters, we observe that it is challenging to simultaneously maximizing the resource allocation ratio and resource availability. This problem becomes more severe in modern cloud database clusters, where resource allocations occur more frequently and on a greater scale. To improve the resource allocation ratio without hurting resource availability, we introduce Eigen, a large-scale cloud-native cluster management system for large-scale databases on the cloud. Based on a resource flow model, we propose a hierarchical resource management system and three resource optimization algorithms that enable end-to-end resource optimization. Furthermore, we demonstrate the system optimization that promotes user experience by reducing scheduling latencies and improving scheduling throughput. Eigen has been launched in a large-scale public-cloud production environment for 30+ months and served more than 30+ regions (100+ available zones) globally. Based on the evaluation of real-world clusters and simulated experiments, Eigen can improve the allocation ratio by over 27% (from 60% to 87.0%) on average, while the ratio of delayed resource provisions is under 0.1%.

Hierarchical Document Approval System

Abstract: The goal of a Hierarchical Document Management System (HDAS) is to accept, store, coordinate, and regulate Edocuments. With the incorporation of E-documents, there is a move toward digital office operations and data transfer via approved systems. By implementing HDMS as a critical tool to handle the growing flow of data, a company may achieve an efficient, time-saving, and straightforward method of reporting, examining, and managing a document. The main advantage of the HDAS is document flow automation, which allows for the automatic transfer of files for approval. The purpose of this review is to look into and implement an E-document circulation system, while also considering the importance of HDAS in an organization. The stages of a document's lifespan are formation, storage, access, reassignment, distribution, preservation, and disposal.

Assessing the role of institutional effectiveness on carbon sequestration: the case of China's nature reserve policy

PurposeCarbon storage in protected land is a practical climate stabilization strategy. It is increasingly being recognized as an essential means of safeguarding biomass carbon and improving local ecological conditions. Yet, increasing soil carbon sequestration by setting aside nature reserves does not depend only on the scale of the reserve but more so on the implementation and enforcement of the reserve protection policy. This paper aims to discuss the aforementioned issues.Design/methodology/approachThe authors show how nature reserves established and managed by different administrative levels affect carbon sequestration. Empirically, the authors estimate a time-varying difference-in-difference model that exploits China's distinct four-layered hierarchical nature reserve management system at the county level.FindingsThe findings show that higher administrative level (i.e. national and provincial) nature reserves have no effects on the carbon dynamic. However, reserves managed by lower administrative levels (i.e. prefecture- and county-level) are associated with reduced carbon sequestration. The results imply local governments fail to fulfil their responsibilities for nature reserves protection, leading to increased extractive activities and declined ecological biomass. Research limitations/implicationsResponsibility and accountability mechanisms for the violation of the nature reserves requirements need to be stipulated accordingly. Greater emphasis should be placed on nature reserves at the base level. The central government should continue efforts toward the establishment of ad hoc and independent management agencies at the ground-management level that are free of influence from base-level governments.Originality/valueThe heterogeneity in the performance of nature reserves across administrative levels confirms that ecosystem service quality is highly dependent on establishment, management and supervision. This provides a better understanding of the socio-ecological interdependence of protected areas.

IoT-based stochastic EMS using multi-agent system for coordination of grid-connected multi-microgrids

IoT-based stochastic EMS using multi-agent system for coordination of grid-connected multi-microgrids

Hierarchical energy management system for multi-microgrid coordination with demand-side management

Hierarchical energy management system for multi-microgrid coordination with demand-side management