Management System Model Research Articles

Optimization model for home energy management system of rural dwellings

In the context of the increasing popularity of distributed energy, this paper proposes a home energy management system method considering the working state of flexible load to deal with the problem of mismatch between home energy supply and demand. Specifically, in this paper, the flexible load in the system is studied, and the model of flexible load and its working state are established. On this basis, combined with the real-time electricity price of the grid, the model of home energy management system is constructed to minimize the electricity purchase cost and improve the utilization rate of renewable energy, the genetic algorithm is used to solve it, and the influence of time step, flexible load ratio and whether to use energy storage equipment on the optimization degree of the model are analyzed. The research results show that, while meeting the requirements of human comfort and electricity demand, the daily electricity purchase cost of the system with flexible load scheduling is 22.5% lower than that of the system without flexible load scheduling, and the utilization rate of renewable energy is increased by 16.5%. In terms of model optimization, shortening the prediction time step, increasing the proportion of flexible load and using energy storage equipment can further reduce the electricity purchase cost. The case study confirms the effectiveness of the proposed home energy management system model, which can provide an efficient optimal scheduling scheme for household energy saving.

A Review on Software Quality Models for Learning Management Systems

The objective of this paper is to review the basic software quality model and identify which existing software quality model and quality characteristics are suitable for Learning Management Systems. A literature review was conducted from the following sources - Science Direct, Scopus, and Elsevier. The search terms used are “online learning”, “basic software quality model” AND “learning management system”. The results of the literature review have identified five main software quality models commonly referred to in software quality literature – McCall, Boehm, FURPS, Dromey, and ISO 9126. In addition, ten common quality attributes for learning management systems identified are maintainability, portability, reliability, efficiency, usability, functionality, security, traceability, availability, and customizability. By identifying the most appropriate software quality model and characteristics for Learning Management Systems, this paper aims to provide guidance to developers and practitioners in the field of online learning to improve the quality and effectiveness of their systems.

BiGTA-Net: A Hybrid Deep Learning-Based Electrical Energy Forecasting Model for Building Energy Management Systems

The growth of urban areas and the management of energy resources highlight the need for precise short-term load forecasting (STLF) in energy management systems to improve economic gains and reduce peak energy usage. Traditional deep learning models for STLF present challenges in addressing these demands efficiently due to their limitations in modeling complex temporal dependencies and processing large amounts of data. This study presents a groundbreaking hybrid deep learning model, BiGTA-net, which integrates a bi-directional gated recurrent unit (Bi-GRU), a temporal convolutional network (TCN), and an attention mechanism. Designed explicitly for day-ahead 24-point multistep-ahead building electricity consumption forecasting, BiGTA-net undergoes rigorous testing against diverse neural networks and activation functions. Its performance is marked by the lowest mean absolute percentage error (MAPE) of 5.37 and a root mean squared error (RMSE) of 171.3 on an educational building dataset. Furthermore, it exhibits flexibility and competitive accuracy on the Appliances Energy Prediction (AEP) dataset. Compared to traditional deep learning models, BiGTA-net reports a remarkable average improvement of approximately 36.9% in MAPE. This advancement emphasizes the model’s significant contribution to energy management and load forecasting, accentuating the efficacy of the proposed hybrid approach in power system optimizations and smart city energy enhancements.

A Multi-Robot-Based Architecture and a Trust Model for Intelligent Fault Management and Control Systems

One of the most important challenges in robotics is the development of a Multi-Robot-based control system in which the robot can make intelligent decisions in a changing environment. This paper proposes a robot-based control approach for dynamically managing robots in such a widely distributed production system. A Multi-Robot-based control system architecture is presented, and its main features are described. Such architecture facilitates the reconfiguration (either self-reconfiguration ensured by the robot itself or distributed reconfiguration executed by the Multi-Robot-based system). The distributed reconfiguration is facilitated through building a trust model that is based on learning from past interactions between intelligent robots. The Multi-Robot-based control system architecture also addresses other specific requirements for production systems, including fault flexibility. Any out-of-control fault occurring in a production system results in the loss of production time, resources, and money. In these cases, robot trust is critical for successful job completion, especially when the work can only be accomplished by sharing knowledge and resources among robots. This work introduces research on the construction of trust estimation models that experimentally calculate and evaluate the trustworthiness of robots in a Multi-Robot system where the robot can choose to cooperate and collaborate exclusively with other trustworthy robots. We compare our proposed trust model with other models described in the literature in terms of performance based on four criteria, which are time steps analysis, RMSD evaluation, interaction analysis, and variation of total feedback. The contribution of the paper can be summarized as follows: (i) the Multi-Robot-based Control Architecture; (ii) how the control robot handles faults; and (iii) the trust model.

A multivariable sliding mode predictive control method for the air management system of automotive fuel cells

The proton exchange membrane fuel cell gas control has been one key point in fuel cell management systems. The complexity and coupling of the air management system make it difficult to achieve precise air intake adjustment. In this paper, an accurate joint control method for the air flow and pressure regulation is proposed. The nonlinear mathematical model of the air management system is developed to describe the output characteristic and state change. Based on this, the feedback linearization method is proposed to obtain the direct correspondence between control variables and controlled variables. In addition, to solve the problem that the controlled variables cannot be measured directly, an extended state observer is applied to estimate the stack cathode pressure. The sliding mode predictive control method is proposed to control the oxygen excess ratio and cathode pressure simultaneously. The relative order of the system is used to design the sliding mode surface, and the corresponding predictive model is proposed. The results obtained by simulation experiments show that pressure and mass flow have little effect on each other through decoupling. The proposed algorithm has been verified to have high precision, fast response, and robustness through comparative experiments.

Развитие системы менеджмента качества вуза

The paper considers the independent assessment fundamentals of the learning service quality at the institutional level, provided by the country’s higher educational establishments, in particular, the university’s quality management system. The work analyses the difficulties in developing and confirming the compliance of the quality management system of domestic universities, caused by introducing unilateral sanctions by the EU countries and the United States. It is proposed to resolve the identified problems by selecting and implementing national models of quality management systems in the university control system with the prospect of confirming their compliance with national authorised certification bodies. As a national model, a standard model of the universities and colleges’ quality system (ENQA & ISO 9000) is considered, which retains its relevance at present. The ISO 9000 & ENQA model has been developed and adapted to the specifics of domestic management of an educational organisation. The presence of methodological accompanying documentation for the ISO 9000 & ENQA model is noted, which allows the university to independently develop, implement and assess the quality system, conduct an audit while preparing for state accreditation. The expediency of developing the quality system of an educational organisation on the basis of the considered national model of the quality management system is substantiated.

Marketing management system of agricultural enterprises

Transforming the essence of marketing activity, determining its role and place in the enterprise management system, and filling the concept of marketing management with new content is due to radical changes in the system of global market relations. Today, profound changes are taking place in management and marketing under the influence of the transformation of world economic processes. From an ordinary function, the latter turns into the main integrating one and occupies a leading position in the management hierarchy. Traditional management has been replaced by marketing management. Agricultural enterprises still need to use the advantages of marketing management. It is noted that the marketing management of an agricultural enterprise reduces the influence of environmental factors. Factors of trends influencing the marketing management system of an agricultural enterprise are determined. The model of the enterprise's marketing management system is singled out as a complex mix of defined subjects, objects, management methods, and tools for their implementation, which, closely interacting with each other, ensure effective marketing management of the enterprise. It is emphasized that effective marketing management of agricultural enterprises helps to identify profitable opportunities and obtain the most complete customer satisfaction. The process of marketing management is considered a specific algorithm of actions and operations to achieve the company's intended goals. To form this process for a specific enterprise, it is necessary to consider its characteristics. The author's vision of the definition of the concept "marketing management system of agricultural enterprises" is given. The use of marketing management will contribute to ensuring the market orientation of an agricultural enterprise, which involves targeting success, timely adaptation to the external environment, increasing the level of competitiveness of enterprises, and improving their financial and economic results. Keywords: marketing, management, agricultural enterprise, factors, model.

An enriched decision-making satisfaction model for student information management systems

Managers in every organization are responsible for making prompt and precise decisions to achieve organizational goals. Similar to other institutions, higher education institutions use student information management systems to collect and organize various data at the student, faculty, and institutional level. These data are used to obtain meaningful information that supports the Decision-Making Process. Furthermore, integration and sharing of this information promote creativity and learning within the institution, which has a positive influence on the institution's performance. This research aims to develop an enriched decision-making satisfaction model for student information management systems that supports the tactical and strategic Decision-Making Processes of a higher institution in Northern Cyprus. The results obtained by analyzing the data from 263 academic and administrative managers show that System Quality, Information Quality, and System Intelligence factors; Uncertainty, Risk, and Complexity have a positive influence on decision-making satisfaction. Findings also show that Internal Factors and External Factors have a significant direct impact on decision-making satisfaction. This research is expected to set a broad framework for the research needed to improve SIMS for future applications from the decision-making satisfaction perspective with an artificial intelligence add-on towards the System Intelligence with technological innovations.

Control Strategy Analysis of Vehicle Thermal Management System Based on Motor Heat Utilization

Waste heat recovery can not only reduce the heating energy consumption during heating, but also assist the positive temperature coefficient to improve the heating efficiency. Herein, a motor waste heat recovery system composed of two four‐way valves is proposed. Through simulation and test, the thermal management system model is established based on the parameters of each component. Experiments and simulations are also conducted at 0, 20, and 40 °C. Under the New European Driving Cycle, it is verified that the motor waste heat recovery system can meet the heating demand of the cabin. At the same time, the temperature rise of the battery increases by 2.9% from 0 to 15 °C compared to no heat recovery system. From 0 to 18 °C, the cabin temperature increases by 8.1%. The cooling rate of the battery increases by 5.8% from 40 to 30 °C and the cooling rate of the cabin increases by 9.7% from 40 to 23 °C.

Model of Performance Measurement and Management System in “The Visegrad Group”

This article summarizes the model of the performance measurement and management systems in Industry 4.0. in the Visegrad Group (V4) countries. The main goal of the research is to suggest a Performance model and management system model (PMMS). Methods of research were focused on using the questionnaires method with the Dillman method and five research questions (RQ1-RQ5). The object of research comprised of 60 industrial V4 companies with the direction of law form, count of the employee, revenues, and type of industry. The return of the questionnaire was 49 respondents of 60 respondents - companies. 42 companies monitor financial performance and 40 companies’ employee performance. Information sources for measuring performance are information systems that are use 39 companies and 39 companies use financial statements. 19 companies use less than 10 KPIs, and 28 companies monitor KPIs throughout the year. The new model of performance measurement and management system in Industry 4.0 is a competitive advantage in the global market and in the hyper-competitiveness environment.

Parametric Reduced-Order Modeling of Battery Thermal Management Systems for Varying Rates of Cooling Liquid Flow

The thermal management system in battery packs for electrical/hybrid electric vehicles plays an important role in maintaining good performance and health of battery cells. In order to optimize the thermal management system design, computational fluid dynamics (CFD) simulations are often used. The CFD is a powerful tool that can accurately simulate the thermal behavior of the system using numerical computation techniques such as finite volume method. However, the days-long computational expense means that the CFD-based simulations are still unsuitable for situations when rapid results are required, for example for online predictive control or fast-pace optimization design.A new method of reduced-order modeling of battery thermal management systems (BTMS) was presented in [1]. Given a CFD model, the algorithm based on projection on Krylov-subspace yields a reduced-order model (ROM). The ROM accurately predicts the system’s transient response to arbitrary internal heating of individual batteries and temperature of cooling liquid at inlet. Unlike conventional Krylov-subspace approaches, the algorithm does not require the system matrix of the CFD model. Therefore, the method is more suitable for use with commercial CFD software which does not allow access to such internal information. The ROM uses a drastically reduced number of degrees of freedom requiring drastically reduced simulation time.This paper extends our ROM by including the mass flow rate of cooling liquid as a model parameter. The task is accomplished by interpolating the system matrices after several local reduced-order models are constructed at discrete mass flow rates (MFR). In order to interpolate the local ROMs, we first need to transform the local ROMs onto a common subspace. The transformation matrix is obtained by applying the singular value decomposition (SVD) to the local projection matrices. In this paper, three local ROMs are built at 3 different MFRs. After these local ROMs are transformed according to the above procedure, a parametric reduced-order model (pROM) is constructed via quadratic interpolation.The constructed pROM is tested against the new MFRs different from those used for building the local ROMs. For each new MFR, the pROM produced a transient response that is almost indistinguishable from that of the CFD model (e.g., see Figure 1). The several thousand core-hour computational time needed for CFD simulations is replaced by a few tens of seconds using the pROM on a personal computer. The low computing load of the pROM is deemed adequate for on-board applications. Reference [1] Xiang L, Lee CW, Zikanov O, Hsu C-C. Efficient reduced order model for heat transfer in a battery pack of an electric vehicle. Applied Thermal Engineering. 2022; 201:117641.Figure 1 Figure 1

Transforming LMS into KMS in Indonesia Educational Institution Case Study in Telkom University Open Library

Library is an institution that collects printed and recorded knowledge, manages it in a particular way to meet the intellectual needs of its users through various ways of knowledge interaction. In 2021, Indonesia provided 4605 active educational institutions, ranging from universities to community academies. All these institutions are obliged to provide library to create a better learning environment, by providing source of references for each course delivered by the institution. This obligation is encouraged by the government by considering library support within the accreditation system. In this accreditation system, a library should allocate books as a source of reference to each course. This establishes a paradigm that library is where we store books and where a member of the institution may borrow, learn, and return those aforementioned books. Today, educational institution deals with not only books but also thesis, dissertation, technical report, training/workshop report, research paper, etc. Authors believe it will be prudent to leave all these documents of knowledge to librarians, by changing the library's paradigm from managing books to managing knowledge. This study proposes a model of Knowledge Management System as a transformation from Library Management System. This study also explains about expected opportunities and benefits after the transformation.

The potential of renewable electricity in isolated grids: The case of Israel in 2050

Power generation is one of the main resources for emissions of pollutants and greenhouse gases. Thus, emissions can be seriously regulated if the electricity sector could be driven by renewables. Of special interest are cases with an isolated grid such as Israel, with extensive work already carried out in the past on the evaluation of renewable electricity in this country. Yet, it appears that the methods adopted previously were not rigorous enough to reflect the true potential. The current work is an attempt to deal with this challenge by implementing comprehensive input data collection, as well as detailed performance and energy management modeling. The main goal of the current study is to evaluate the energy mix, together with the required storage capacity, that would allow maximum penetration of renewables into the Israeli grid in 2050. The total electric demand in 2050 is evaluated as 183.3 TWh. The resources of interest are fossils, solar energy (both photovoltaics and agrivoltaics), onshore and offshore wind, sea waves, and organic waste. The total installed power from renewables is evaluated as 180.6 GW. The energy storage capacity is mostly relying on the technology of Vehicle to Grid (V2G), and with the help of additional stationary batteries and several pumped hydroelectric plants, the total capacity is estimated as 216 GWh. However, owing to the uncertainty in future storage technologies, larger capacities are considered as well. The performance model (PM) used in the analysis of solar and wind plants is the System Advisor Model (SAM). To match the electric generation and demand, an energy management system (EMS) model was developed. The EMS is controlling the hourly fossil power to maximize the renewable share on an annual basis while ensuring full supply to consumers (no power outage). Economic evaluation is excluded in the current analysis. It was obtained that renewables share between 80.1% and 99.5% may be achieved, depending on the scenario. The annual energy dumping is between 4.9% and 46.1% and the fossil plants’ annual capacity factor is between 0.4% and 13.6%.

Research on fast-charging battery thermal management system based on refrigerant direct cooling

Aiming at the problem of high battery heat generation during the super fast-charging process of electric vehicle fast-charging power batteries, this study designs a fast-charging battery thermal management system based on the refrigerant direct cooling architecture. In order to use the refrigerant of refrigerant to cool the battery quickly. Firstly, the study constructs the heat generation model of the power battery, the calculation model of the battery thermal management system, and builds the experimental device. Secondly, theoretical simulations and experimental studies were conducted for low-temperature fast-charging and high-temperature fast-charging operating conditions. The experimental results show that the designed battery thermal management system has good cooling effect and temperature uniformity.

Aspects of Improving the Organisational and Technological Reliability in Construction

Introduction. Today, the construction enterprises face the problem of improving quality of a completed object of construction while reducing the cost of its production. This question is raised by Russian and foreign scientists studying the issue of organisational and technological reliability in construction. The analysis of the theoretical background of this topic clearly shows a quite positive situation. However, the organisational and technological reliability is intended not for theoretical research, but for practical application. If in the past the organisational and technological reliability was understood as the compliance of a facility with the technical standards and norms, this is not longer the point because many of the norms got outdated. Accordingly, it is necessary to include the state bodies in the process of creation the new and constant updating of the existing regulatory and technical data base in the field of organisational and technological reliability. Time losses in construction still reach up to 30% of the total period of construction. The objective of the present study is to investigate the currently available methods of enhancing the organisational and technological reliability in construction and to make suggestions on its improvement aimed at reducing the construction timeline.Materials and Methods. The current methods of determining the organisational and technological reliability are presented. A brief description of the main methods is provided. The method proposed by the authors to the enterprises for application in construction of the residential houses is described in more detail. The method consists in the implementation and use of the enterprise quality management system.Results. The main goal for such enterprises has been defined and recommendations on implementation of the “top-down” system have been provided. The quality management system model has been supplemented and plotted. A cyclical flow has been proposed, where a consumer looking to satisfy his needs, turns again to the same manufacturer whenever he has a new need for this product, and the manufacturer, in turn, constantly improves its quality management system.Discussion and Conclusions. The quality management system model worked out in the course of the present research should help the enterprises to improve the organisational and technological reliability of their products by focusing on the consumer and to gain a larger share in the market.

Effectiveness of the Management System in the Conditions of Military Operations and Crisis Situations

The management system is a complex multifactorial process. Analysis of management processes allows you to determine a set of influencing factors to ensure results in accordance with the set goals and tasks of a strategic and operational nature. In conditions of external instabilities, management processes are implemented in the system of new requirements and requests. Theoretical approaches to defining the concept of management as a system are considered. The article examines management models in conditions of instability and external challenges, compares them, and determines research directions. The trends in the development of management systems are analyzed, new trends in the development of management systems are determined, which are determined under the influence of external factors the pandemic of the coronavirus infection and the full-scale military aggression of the Russian Federation against Ukraine. By implementing the method of expert assessments, the ranking of risk management factors as a basic element of management in conditions of instability was developed and carried out. Based on a survey among experts, a risk ranking matrix was proposed. Based on the developed risk ranking matrix, a model of anti-crisis management in conditions of instability and external challenges was developed. Methodological recommendations on the practical implementation of the developed model into the management system are given. The theoretical-methodical and scientific-practical aspects of the implementation of the risk management model are analyzed. The possibilities of implementing risk management processes as a basic model of the anti-crisis management system by overcoming risks, preventing them, or minimizing risks that cannot be avoided have been identified.

A coupled model and thermo-electrical performance analysis for flat heat pipe-based battery thermal management system

Power battery is one of the key components of the electric vehicles, and an efficient battery thermal management system (BTMS) is significant for improving power battery performance. Flat heat pipe (FHP) has lightweight structure and high thermal conductivity, receiving much more focuses in the field of BTMS. In this paper, an FHP-based BTMS configuration is proposed. A coupled model of FHP and batteries was established considering the vapor flow effect of the FHP working medium, which can calculate the battery electrochemical parameters, battery heat generation rate, FHP heat transfer capacity in real time. The coupled model was verified by experiment. Then, the battery thermo-electrical performance at different discharging conditions is simulated and analyzed, and the relationship between battery electrochemical parameters and discharge rate is reflected. Under 3C discharge rate, the battery maximum temperature can be limited under 50 °C, while the maximum temperature difference can be kept below 2.26 °C. Finally, the influence mechanism of different FHP structural parameters including vapor chamber thickness, FHP total thickness, FHP total length on battery thermo-electrical characteristics is investigated. The results show that the decrease of FHP vapor cavity thickness or FHP total thickness will not only increase the vapor thermal resistance, but also aggravate the uneven distribution of FHP heat transfer capability, worsening the battery thermal performance on this occasion. The uneven battery module temperature distribution will further lead to non-uniformity of battery electrical performance. The change of FHP total length will result in the change of the total FHP heat transfer thermal resistance and affect the battery overall performance.

The Development of Innovation Knowledge Management System in Tangerang Regency

The problem of regional innovation is the absence of data inventory, processes, lesson learning, well-integrated regional innovation management, and supporting infrastructure for activities, namely the Knowledge Management System container. Knowledge Management System is a tool, technique, and strategy used to maintain, analyze, organize, develop, and share business expertise. The purpose of this study is the availability of lesson learned knowledge management system governance in government agencies as a comparison, an integrated KMS model can support the sustainability of regional innovation in Tangerang Regency, and an integrated and sustainable KMS prototype of regional innovation. Research methods are carried out qualitatively with literature studies, comparative studies of research objects, and applied model tests in Tangerang Regency. Data collection techniques use literature review, observation, expert judgment, and in-depth interviews to test the KMS model for Regional Innovation. The expected result is the availability of an innovation knowledge management system model for local governments which can then be developed into a knowledge management system for regional innovation.

Functionality as a Key Concept for Integrated Project Planning and Scheduling Methods

The construction industry has made significant efforts to address the issues of low productivity caused by inefficient construction planning and scheduling. This issue led to more focus on integrating scheduling methods in existing studies without comprehensively analyzing the integration’s goals and objectives. In this regard, this study aims to present and analyze a holistic list of integrated scheduling methods’ functionalities in the construction sector. In this paper, the underlying concept and main objective of scheduling methods are considered as their functionality. A multistep methodology is adopted for this research. First, the authors identified integrated scheduling methods and their functionalities. Second, social network analysis (SNA) and Pareto analysis were used to assess and analyze the significance of the identified functionalities. The findings indicated that improving planning reliability, increasing transparency, identifying and eliminating wastes, and considering the continuous flow of work that follows the lean principles are the most important employed functionalities in the integrated scheduling methods. Also, the last planner system, building information modeling, simulation methods, and location-based management systems are mainly used common scheduling methods in the integrated scheduling methods. Ultimately, this study will aid project stakeholders in better understanding of integrated scheduling methods by defining the functionality concept of scheduling methods.

An assessment of the impact of Raman based glucose feedback control on CHO cell bioreactor process development.

Process analytical technology (PAT) tools such as Raman Spectroscopy have become established tools for real time measurement of CHO cell bioreactor process variables and are aligned with the QbD approach to manufacturing. These tools can have a significant impact on process development if adopted early, creating an end-to-end PAT/QbD focused process. This study assessed the impact of Raman based feedback control on early and late phase development bioreactors by using a Raman based PLS model and PAT management system to control glucose in two CHO cell line bioreactor processes. The impact was then compared to bioreactor processes which used manual bolus fed methods for glucose feed delivery. Process improvements were observed in terms of overall bioreactor health, product output and product quality. Raman controlled batches for Cell Line 1 showed a reduction in glycation of 43.4% and 57.9%, respectively. Cell Line 2 batches with Raman based feedback control showed an improved growth profile with higher VCD and viability and a resulting 25% increase in overall product titer with an improved glycation profile. The results presented here demonstrate that Raman spectroscopy can be used in both early and late-stage process development and design for consistent and controlled glucose feed delivery.