Management System Model Research Articles

Modeling of web-based collaborative learning management system

The challenges faced by most learning management systems (LMS) can be classified into two main areas: pedagogical and technical issues. A comprehensive exploration of these interrelated challenges provides valuable insights for developing a new and more effective model for LMS. In this paper, a novel conceptual model for a web-based collaborative LMS is introduced, merging two distinct learning theories: behaviorism and social constructivism. Through an analysis of the strengths and limitations of each theory, the study moves on to outline the fundamental principles and technical features of the proposed LMS model, which stems from this integration. In conclusion, the paper explores the implications of creating user-centered LMS solutions, with a specific focus on addressing the varied requirements of learners.

Application of Bayesian models in building information modeling of residential buildings

This paper lays forth a process for continuing Bayesian calibration of full-scale building energy simulation (BES) models by making use of data obtained from building information modeling (BIM) and building energy management systems (BEMS). According to a survey taken in China, it is possible that importing data from BIM and BEMS will dramatically cut down on the amount of time and effort required for the continuing calibration of BES models. After that, the continuous calibration approach that had been developed was examined with the use of a case study that was based on the actual calibration of a building. In China, Building Information Modeling (BIM) and data on the amount of electricity used each month over the course of the preceding three years were both incorporated into the case study. According to the findings, a non-continuous technique on the test dataset fared worse than a continuous Bayesian calibration method in terms of prediction accuracy and reduced uncertainty. The normalized mean biased error (NMBE) and the coefficient of variation of the root mean square error (CVRMSE) are both discussed in this research, and comparisons are drawn between the two.

A spatially explicit framework for assessing ecosystem service supply risk under multiple land‐use scenarios in the Xi'an Metropolitan Area of China

AbstractRapid global urbanization has perturbed ecosystem structures and functions, resulting in ecological risk and threatening sustainable human well‐being and socioeconomic development. However, scientific indicators to analyze ecosystem service (ES) risk patterns need to be explored in detail. In addition, studies on ES supply risk are stagnating on historical or status explorations, especially from the view of disturbance from land‐use changes. This study seeks to develop a framework for modeling past‐future ES supply risk pattern evaluation and probing into ES risk patterns under different future land‐use scenarios. To achieve this objective, the framework integrates the Future Land Use Simulation (FLUS) model, the Intelligent Urban Ecosystem Management System (IUEMS) model, and an established indicator system incorporating ES supply trend, hotspots and coldspots, and ES trade‐offs, and synergies. The results show that: (1) In 2050, the supply of climate regulation in the Xi'an Metropolitan Area (XMA) will increase, while that of carbon sequestration and recreation will decrease. In 2050, the supply of climate regulation is the highest under ecological protection (EP) scenario, while the supply of carbon sequestration and recreation are the highest under cropland protection (CP) scenario. (2) From 2000 to 2050, the hotspots and coldspots of climate regulation increase in both natural development (ND) scenario and CP scenario. Notably, CP scenario experiences the most significant reduction in extremely significant hotspots and coldspots of carbon sequestration. From 2000 to 2050, at the regional and pixel scales, climate regulation and carbon sequestration mainly show trade‐offs, and carbon sequestration and recreation show synergies. (3) ES supply risk in XMA is high in the center and low in the north and south. The ES supply risk from 2000 to 2050 is increasing, with expanding “extremely high risk”, “high risk”, and “extremely safe” areas. ES supply risk management should adhere to more strict land‐use policies and guidelines, management zoning for areas with different levels of ES risk, and an accurate understanding of ES trade‐offs and synergies for scientific risk management. This study could provide theoretical and technical references for ES risk assessment research and promote scientific ecological risk management.

Exploring systemic design practices in public sector innovation

Many societal challenges need to be resolved through innovative solutions at system level. Previous scholars have argued that it may be wise to combine design practice and system theory to form a management method for public sector innovation. However, it appears that few scholars have developed innovation management methods based on that combination. The aim of this article is therefore to contribute with new knowledge about how design practice and system theory can be combined in order to drive public sector innovation. The article proposes the development of a previously proposed systemic design management model and presents a toolbox with twelve innovation management tools. Although there is a logic in using the tools in a certain order, this article emphasizes the need for a flexible use of the tools and to be open to moving back and forth between different tools. The results also indicate that an initial key tool is to ensure that the right people become involved in the different phases of the innovation process. It is more important to involve the right people in different phases than to follow a specific pre-designed process model. In order to successfully create and implement innovative solutions at system level, the innovation processes need to engage different human resources for different tools. Different resources that understand the needs can contribute with new perspectives and also possess the mandate to make systemic changes.

Internet of Things (IoT) Enabled Water Distribution System for Smart Water Management

Water is a vital resource for life, and its management is a key issue nowadays the water demand is increasing due to global population growth and urbanization. Present technologies for water control are currently facing interoperability problems due to the lack of support for standardization in monitoring and controlling equipment. This problem affects various processes in water management, such as water consumption, water distribution, system identification, and equipment maintenance. Under these conditions, new technologies in the water management infrastructure have been required to enable the distribution of high-quality water to users safely and cost-effectively, from the perspective of efficiently using our world’s precious water resource. The Internet of Things (IoT) Based Smart Water Management System is a cutting-edge technology that integrates sensors, communication devices, and data analytics to efficiently monitor and manage water resources. This system enables real-time monitoring of water quality, consumption, and distribution, allowing for proactive maintenance and optimization of water usage. By leveraging IoT technology, this smart water management system offers improved accuracy, reliability, and cost-effectiveness in managing water resources. Based on standards, the system proposal is a smart water management system model combining Internet of Things technology with decision support systems. This system is more efficient in distribution monitoring and control approach for a water utility to reduce water loss. This approach will help utility operators to improve water management systems, especially by exploiting emerging technologies.

The collaborative approaches of the knowledge-based performance management system and lean six sigma to improve contractor productivity and safety performances

PurposeThis paper aims to design a hybrid model of knowledge-based performance management system (KBPMS) for facilitating Lean Six-Sigma (L6s) application to increase contractor productivity without compromising human safety in Indonesian upstream oil field operations that manage ageing and life extension (ALE) facilities.Design/methodology/approachThe research design applies a pragmatic paradigm by employing action research strategy with qualitative-quantitative methodology involving 385 of 1,533 workers. The KBPMS-L6s conceptual framework is developed and enriched with the Analytical Hierarchy Process (AHP) to prioritize fit-for-purpose Key Performance Indicators. The application of L6s with Human Performance Modes analysis is used to provide a statistical baseline approach for pre-assessment of the contractor’s organizational capabilities. A comprehensive literature review is given for the main pillars of the contextual framework.FindingsThe KBPMS-L6s concept has given an improved hierarchy for strategic and operational levels to achieve a performance benchmark to manage ALE facilities in Indonesian upstream oil field operations. To increase quality management practices in managing ALE facilities, the L6s application requires an assessment of the organizational capability of contractors and an analysis of Human Performance Modes (HPM) to identify levels of construction workers’ productivity based on human competency and safety awareness that have never been done in this field.Research limitations/implicationsThe action research will only focus on the contractors’ productivity and safety performances that are managed by infrastructure maintenance programs for managing integrity of ALE facilities in Indonesian upstream of oil field operations. Future research could go toward validating this approach in other sectors.Practical implicationsThis paper discusses the implications of developing the hybrid KBPMS- L6s enriched with AHP methodology and the application of HPM analysis to achieve a 14% reduction in inefficient working time, a 28% reduction in supervision costs, a 15% reduction in schedule completion delays, and a 78% reduction in safety incident rates of Total Recordable Incident Rate (TRIR), Days Away Restricted or Job Transfer (DART) and Motor Vehicle Crash (MVC), as evidence of achieving fit-for-purpose KPIs with safer, better, faster, and at lower costs.Social implicationsThis paper does not discuss social implicationsOriginality/valueThis paper successfully demonstrates a novel use of Knowledge-Based system with the integration AHP and HPM analysis to develop a hybrid KBPMS-L6s concept that successfully increases contractor productivity without compromising human safety performance while implementing ALE facility infrastructure maintenance program in upstream oil field operations.

A numerical modeling of battery thermal management system using nano-enhanced phase change material in hot climate conditions

Battery thermal management system (BTMS) is of utmost importance to ensure their safe and efficient operation. In regions with hot climates, such as Saudi Arabia, batteries are particularly susceptible to overheating, leading to performance degradation, safety risks, and potential fires. Traditional phase change materials (PCMs) have limitations in terms of slow response times and limited thermal conductivity. To overcome these challenges, nano-enhanced PCMs (NePCMs) have been developed, incorporating nanoparticles into the PCM matrix to enhance their thermal properties. This study focused on the application of NePCM, specifically RT44 and SWCNT, for BTMS of a pouch battery in hot climates. The investigation primarily centered on exploring the effects of NePCM chamber thicknesses at the top and bottom. It was expected that increasing the NePCM thickness would effectively regulate battery temperature. However, the study revealed that the thickness of the NePCM had a limited impact on battery temperature due to the dominant influence of the ambient environment. In summary, the results of this study indicate that the optimal design configuration for the NePCM chamber, in terms of thickness, consists of a bottom thickness of 10 mm and a top thickness of 15 mm.

Adaptive management model of the higher education system in the context of the transition to the digital economy

Purpose: of the study is to develop an adaptive model of higher education system management in the context of digital transformation of the economy. Methods: the methods of interdisciplinary, structural and logical analysis, typologization of management models, rating and expert assessments were used in the work. The methodological basis of the research was: a three-sided model of higher education management assessment, a "management cube", including a model of new managerialism, a two-plane model of higher education system assessment, level-based, adaptive approaches to higher education management. Results: based on the analysis of the higher education management system in the context of the digital transformation of the economy, the need for the formation of new adaptive mechanisms and management models of this system as an area where human capital is formed and developed, necessary for the breakthrough development of the country. Also, the trends of digitalization in the field of higher education have been identifi ed. Recommendations for its adaptation to the digital transformation of the economy have been developed and substantiated. As a key tool of the adaptive management model, an organizational model of adaptive management of the higher education system has been developed, which makes it possible to adapt the entire education system to the challenges of digital transformation of the economy. Conclusions and Relevance: the developed organizational model will make it possible to build an eff ective work of the higher education system using adaptive management mechanisms, that allow it to optimally adapt to modern transformational processes, that occur according to cyclical crisis phenomena and the next industrial revolution. Digital transformation and the conditions of Industry 4.0, as well as the technological singularity, which is already the reality, do not allow us to strategically correctly build one specifi c model of management of the higher education system, since the above-mentioned processes become the trigger for constant transformations, including in the field of education. The organizational model of adaptive management proposed by the authors is innovative, allowing to adapt iteratively to the ongoing transformations of social and economic systems. Thus, this model is strategically relevant and promising for the both modern conditions of functioning and long-term development of the education sector.

Optimal scheduling and demand response implementation for home energy management

The optimal scheduling of the loads based on dynamic tariffs and implementation of a direct load control (DLC) based demand response program for the domestic consumer is proposed in this work. The load scheduling is carried out using binary particle swarm optimization and a newly prefaced nature-inspired discrete elephant herd optimization technique, and their effectiveness in minimization of cost and the peak-to-average ratio is analyzed. The discrete elephant herd optimization algorithm has acceptable characteristics compared to the conventional algorithms and has determined better exploring properties for multi-objective problems. A prototype hardware model for a home energy management system is developed to demonstrate and analyze the optimal load scheduling and DLC-based demand response program. The controller effectively schedules and implements DLC on consumer devices. The load scheduling optimization helps to improve PAR by a value of 2.504 and results in energy cost savings of ₹ 12.05 on the scheduled day. Implementation of DLC by 15% results in monthly savings of ₹ 204.18. The novelty of the work is the implementation of discrete elephant herd optimization for load scheduling and the development of the prototype hardware model to show effects of both optimal load scheduling and the DLC-based demand response program implementation.

Жобаны басқарудың жүйелік моделі

The rapid development of project management and its wide application in practice required the creation of an appropriate professional infrastructure. The analysis of project management methods is carried out. The directions of research in this area are considered. The analysis of control models from the point of view of systems theory is carried out. Analysis of operational and project management to establish common elements. The purpose of using the result when building a database model of a project management system

Develop an Extended Model for the Data Management System for Inter-Hospitals on Client Medical Services

This study aims to implement a data management system that connects three regional hospitals and shares patient information to improve the services provided to patients, especially those treated in Kigali city. When the patient arrives, apart from what is written on the transfer sheet, there is no information about the illness, even though the patient had been hospitalized at the district hospital for many months. These issues drastically reduce the quality of service for patients, where they are often asked to repeat the symptoms, they receive poor treatment where each doctor first tries a drug and the patient has outgrown it, usually forcing the patient to start a new treatment. The research adopts descriptive research survey and the instrument used for the study was a questionnaire developed to cover the research questions and hypotheses. Forty-seven respondents were randomly selected from the population of the Study. The result from respondents was shown the need of the implementation of a data management system that connects three regional hospitals and shares patient information with the general hospital of CHUK to improve the services provided to patients, especially those treated in Kigali city.

Launch Vehicle Integrated Health Management System Model

Launch Vehicle Integrated Health Management System Model

Алгоритм динамического распределения и балансировки нагрузки в распределенных облачных вычислениях

A mathematical model and algorithm of a two-level load management system for virtual clusters of a data processing center (data center) have been developed. At the first management level, virtual machines (VMs) are assigned to physical servers. At the same time, a greedy algorithm is used with restrictions on the time of searching for acceptable load distribution alternatives. The second level of management is implemented taking into account the chaotic structure of network traffic between the data center and users. Checking for the randomness of a time series of information traffic is carried out using Lyapunov exponents. The predictive model of the load intensity is implemented using the method of phase space reconstruction based on a set of values of a one-dimensional time series. When constructing a reconstructed phase space attractor, the time delay value is selected from the condition of reaching the zero value of the autocorrelation function, and the dimension of the embedding is determined by the angle of inclination of the straight line approximating the dependence of the value of the correlation integral on the radius of a given threshold point. The Tayler window is used to exclude correlated points in the numerical series. The criterion for evaluating the effectiveness of the developed algorithm is an integral indicator of the deviation of the load of each server from a given level. The proposed model can be used to build a data center load balancing system in conditions of its nonlinear nature.

Mapping of Various Quality Management System Model to ISO 9001:2015

Measurement of Quality Management Systems (QMS) in construction projects is very important to assess the fulfillment of quality standards. A comprehensive and up-to-date standard setting is paramount. Much research has been done to develop a Quality Management System (QMS), but only focused on the quality management system in general by means of interviews and statistics. There are still only a few studies that focus on determining quality variables based on ISO 9001:2015, but they do not consider other Quality Management Systems (QMS) to obtain variables that are not in ISO 9001 2015. This research aimed to map out ISO 9001:2015 to find additional variables that are not present inside it. Six Sigma, Deming, Total Quality Management (TQM), Quality Management System (QMS), Baldrige Performance Excellence Framework, and LEAN Manufacturing are models for developing Quality Management Systems (QMS) that are widely applied in the construction industry today. This research produced eight additional variables as audit materials, which were expected to make ISO 9001:2015 better in its application and development in construction services. The eight variables were breaking down barriers between departments, eliminating pressure, eliminating arbitrary numerical targets, respecting people, contributing to society, reducing cycle time, increasing process transparency, and focusing on global process control. This research provides factors from a more varied and up-to-date quality management system that complements ISO 9001:2015
 Keywords: mapping, Measurement of Quality Management System (QMS)

Thermal Management of Proton‐Exchange Membrane Fuel Cells with Enhanced Fuzzy Control via an Improved Whale Optimization Algorithm

Proton exchange membrane fuel cells (PEMFCs) require an appropriate operating temperature to achieve high performance and longevity. In addressing the critical need for effective thermal management in PEMFCs for vehicle propulsion systems, this study has developed and introduced a novel thermal management system model equipped with dual‐cooling loops. Addressing the issues of slow response and poor dynamic performance inherent in traditional control strategies, as well as the computational complexity that hinders the practical application of existing advanced control strategies, this research proposes a fuzzy proportional‐integral‐derivative (PID) controller optimizing the improved whale optimization algorithm (IWOA‐FPID) aimed at enhancing fan side control. By simulating step changes in current load and designing dynamic operating conditions based on the most basic and simple energy management system, the performance of IWOA‐FPID in temperature control is validated. The final results indicate that the IWOA‐FPID strategy significantly outperforms existing control methods, notably reducing adjustment time and minimizing temperature overshoot to ≈0.5 K. The proposed framework achieves efficient temperature control, highlighting its potential for broader application in vehicular fuel cells and offering a promising solution to the challenges of PEMFC thermal management.

ОСОБЕННОСТИ РАЗРАБОТКИ И ВНЕД-РЕНИЯ СИСТЕМЫ МЕНЕДЖМЕНТА КА-ЧЕСТВА НА ПРЕДПРИЯТИЯХ ИНДУСТРИИ ГОСТЕПРИИМСТВА

The article is devoted to the consideration of the development and implementation of a quality management system at enterprises in the hospitality industry, the identification of key elements of quality management and criteria for guest satisfaction with the quality of service. It is emphasized that the main goal of the quality management system at a hospitality industry enterprise is to increase competitiveness by improving the quality of service provision. The authors proposed an implementation algorithm, a conceptual model of the quality management system, and substantiated measures to improve it.

Evaluating prioritization of strategic business model for efficient wastewater resource management system

In recent decades, the world has witnessed a sudden rise in population and rapid urbanization. This has led to an increase in the water demand and consequently an upsurge in wastewater. Water scarcity, coupled with untreated wastewater, has become a major concern throughout the world. Municipalities are challenged with the task of treating wastewater and meeting domestic, agricultural, and industrial demands. Mismanagement of wastewater results in economic, social and environmental loss. The high concentration of population, lack of sanitation and water security, reduced awareness, and evident pollution have made India a home full of opportunity and innovation in the wastewater management (WWM) business. The paper gives a comprehensive review to understand the wastewater management and business approach. The research uses Total Interpretive Structural Modelling (TISM) to identify, acknowledge, and interpret the major factors for the stakeholders and for future companies who wish to venture into the wastewater management business. The study provides insight into developing a circular economy solution and gives a vivid framework highlighting the relevant factors for a successful WWM business. The study also provides direction to the practitioners who are involved in the WWM industry and helps evaluate their options, prioritizing resource-efficient solutions.

Model of the process safety management system at an airline

The purpose of the process safety management system is to identify hazard factors and develop a set of methods to prevent injuries at an airline, occupational illness, material costs in case of damage to property and the environment. The analysis of the structure of occupational pathology depending on the factors of the production environment and the working process for the period 2013–2022 shows that the percentage of diseases associated with the impact of production physical factors for this period remains at the same level. This fact, in turn, confirms the relevance of the chosen study. Analysis and identification of the current production situation is necessary to assess the impact of adverse production factors. In this study, a new approach to the mathematical model for a process safety management system is implemented. Mathematical modeling allows a deeper understanding of the nature of certain phenomena and to obtain information about the real situation, which in turn stimulates the development of new scientific problems and methods of solving them, and is also the basis for choosing specific solutions for the implementation of certain projects. The successful implementation of strategies in order to create a process safety system for a flexible monitoring and management structure depends on how effective its functional structure is; this provision is explained by the fundamental nature of the tasks that are solved at the management stage. The article discusses the theoretical statements concerning mathematical modeling. When creating the model, the apparatus of abstract algebra-set theory – was used. The model developed in the course of the study makes it possible to introduce a model of the process safety management system into the activities of aviation enterprises.

Proposed A Design Performance Management System By Using Knowledge-Based Performance Management System Framework At PT. Marjaya Utama Wisata

Indonesia's tourism sector was hit hard by the COVID-19 pandemic, with a 56% drop in its contribution to the country's GDP (Gross et al.). However, the sector has significantly recovered, with foreign tourist arrivals increasing 119.64% in June 2023 compared to the previous year. In response to this phenomenon, service providers, such as Performance Management Systems (PMS), must implement effective strategies to maximise their potential. PT. Marjaya Utama Wisata (Marjaya Trans), a travel agency based in Bandung, experienced significant growth but experienced fluctuations in revenue and experienced losses in some years. Designing a comprehensive performance management system was necessary to deal with these problems. This research proposes a proposed performance management system using the KBPMS framework. The proposed model was developed by combining a literature review and a case study approach from previous studies applied to the same industry. The analysis was conducted using a qualitative approach and multicriteria decision-making using the Analytic Hierarchy Process (AHP) approach from the management ranks in the company. This research proposes KBPMS with 19 key performance indicators (KPIs) derived from vision, mission, strategy, business processes, and discussions between researchers and the company. From each aspect of the KBPMS, a priority order is generated from the AHP method to see which indicators have a high priority according to the company's management. It is expected that the application of the designed performance management system model can help the company achieve its goals. The development of this model is still in a stage that needs to be further developed. Evaluation and improvement of PMS implementation will be planned on a long-term basis

Conservation Design of Industrial Heritage based on Nonlinear GA Optimization Algorithm and Three-dimensional Reconstructioneconstruction

In order to understand the industrial heritage protection design of Iterative reconstruction, the author proposes a research on industrial heritage protection design based on GA optimization algorithm and Iterative reconstruction. Firstly, the author establishes the 3D model of industrial heritage through Iterative reconstruction, and optimizes the model parameters through GA algorithm to achieve the purpose of protecting and utilizing industrial heritage. Secondly, the author proposes a method of Iterative reconstruction of industrial heritage based on GA algorithm, uses this method to conduct Iterative reconstruction of industrial heritage, and imports the reconstructed model into the 3D model management system for management. This method solves the problem of high reconstruction cost caused by low model quality in traditional Iterative reconstruction, and makes industrial heritage protection design more practical. Finally, an experimental analysis was conducted using a factory building in a certain city as an example. The results showed that the model optimized using the GA algorithm had significantly better performance than traditional reconstruction methods, and could more accurately reflect the spatial form and structural characteristics of industrial heritage, this provided new ideas and methods for the subsequent protection and utilization of industrial heritage. The GA algorithm optimized 3D model established by the author can effectively evaluate industrial heritage in historical urban areas, not only revealing the value of industrial heritage better, but also providing a certain reference for similar work in the future.