Systems Engineering Management Research Articles

Feasibility Study of an Integrated Waste Management Technology System for a Circular Economy in the Philippines

Increasing population and rapid economic growth result in waste management problems in the Municipality of Bay, Laguna. In response, the municipality is planning to invest in an Integrated Waste Management Technology System (IWMTS) that aims to generate public revenue. Key informant interviews, surveys, and focus group discussions were utilized for data collection. Results showed that respondents lack knowledge about IWMTS but perceive positive impacts on waste volume reduction and municipal waste management and little to no negative impacts on health, livelihood, and accessibility. Meanwhile, economic analysis showed that it is estimated to generate an annual revenue of PHP 11.986 million (USD 214,036) with yearly expenses of PHP 3.7 million (USD 66,071). These cash flows are expected to recover the overall capital outlay of PHP 48.14 million (USD 859,642). A net present value (NPV) of PHP 3.164 million (USD 56,500) and a 5.77-year payback period (PBP) were calculated through cost-benefit analysis. The environmental analysis revealed positive impacts on reducing the volume of wastes, water resources, and quality, odor and air quality, and soil and nutrients. Considering these, the study provided recommendations on project implementation to achieve sustainable waste management and circular economy in the municipality.

Telemedicine and information technology in health care management: Perspectives and barriers among the nursing students

BACKGROUND: Telemedicine refers to using electronic information and telecommunication technologies to support numerous aspects of healthcare, including clinical care, patient and professional education and training, public health, and health administration. However, many challenges hinder the widespread adoption of telemedicine by healthcare providers. This study aimed to assess the perspectives and barriers in telemedicine and information technology in health care management among nursing students. MATERIALS AND METHODS: A cross-sectional study was conducted among 60 nursing students enrolled in the third and fourth years. The sample was selected using a nonprobability purposive sampling technique from students studying at the Applied Medical Science Colleges for Females, University of Bisha. Data collection was facilitated through a structured questionnaire, and the gathered data were analyzed using SPSS version 22. The study was conducted between August 15, 2022 and November 20, 2022. RESULTS: 61% of students believe that telemedicine will lead to a reduction in travel time, costs, and effort. Approximately two-fourths of the sample’s perspectives revolve around concerns regarding privacy, medical errors, and camera comfort. However, more than 30% of participants agree that telemedicine will improve the quality of patient care, decrease waiting times, be beneficial for patient care in remote areas, and assist in providing appropriate information during emergency. 59% of respondents identified the lack of time or busy schedules as the most frequently reported barrier to using telemedicine. Following this, concerns regarding privacy, confidentiality, unreliable Internet connections, and inadequate knowledge about computer technology and Information Management Systems were also commonly cited as barriers. These factors were identified as the primary obstacles hindering the progress of telemedicine. CONCLUSION: This study concluded that telemedicine is a critical tool to address the challenges of limited medical resources in healthcare facilities. However, reduced healthcare costs and waiting time and improved patient access to healthcare in remote areas all helped promote telemedicine implementation. In these remote areas, telemedicine has the potential to bridge this distance and facilitate healthcare.

РОЗРОБКА АДАПТИВНИХ АЛГОРИТМІВ РОЄВОГО ІНТЕЛЕКТУ У ПРОЕКТУВАННІ ТА УПРАВЛІННІ ІНЖЕНЕРНИМИ СИСТЕМАМИ

The article examines the design and management of engineering systems in the context of growing data volumes in local computer networks. With the development of swarm intelligence, the probability of the existence of the necessary information for managing engineering systems increases, but the possibility of finding it decreases. This creates the need to develop new methods and tools for using adaptive algorithms of swarm intelligence. The purpose of such algorithms is to ensure the ability to process information and find queries with maximum relevance, generating the largest number of search results (SERPs) containing technical information. The development of swarm intelligence algorithms is impossible without their intellectualization, which includes semantic and syntactic analysis of texts, natural language tools, and intelligent algorithms for determining the significance of information resources. In digital information retrieval systems (DIRS), a query is formed in the form of keywords or their combinations, connected by logical operations. To search for the same information, different keywords are used, the choice of which is subjective. The first stage of the algorithm consists in determining the set of meaningful correspondences and forming the initial set of requests within the engineering system. To ensure the completeness of the selection, the total relevance of the SERP in relation to the group of significance criteria is considered. There is a need to develop an efficient neural network algorithm to solve the problem of assigning one SERP to each group of query criteria. This will make it possible to distribute SERPs by criteria groups so that each page is evaluated mainly by one criteria group, and the total relevance of all groups is maximized. Thus, the article emphasizes the importance of developing new methods and tools for implementing adaptive swarm intelligence algorithms in engineering systems. Special attention is paid to the development of effective neural network algorithms that will ensure optimal distribution of the relevance of search pages, which will increase the accuracy and efficiency of information search in complex engineering systems.

Mechanical Design and Manufacturing and its Automation Development Strategy Based on the Concept of Green Manufacturing

Under the background of increasing global environmental pressure, mechanical design and manufacturing and its automation industry are faced with major challenges of energy conservation, emission reduction and efficient utilization of resources. Although the concept of green design is gradually popularized, it still faces problems such as technical bottlenecks and imperfect system in the implementation process. This paper proposes to strengthen the theoretical research of green design, promote the innovation of green manufacturing process, build green supply chain management system and cultivate green manufacturing talents, aiming at technological innovation and management system optimization, and realize the green transformation of the whole process of mechanical design and manufacturing.

El costo ambiental de los textiles

Textiles are important for human life, they protect us from the weather, textiles can be used as a means of expres-sion, and foster economic development. However, their manufacture and use cause environmental, social, and economic costs, for instance, the depletion of natural resources, climate change, water pollution, and generation of waste, nano, and microplastics. Technological advances and management systems have reduced these impacts, but the joint partici-pation of government, industry, and society in the administration of natural resources and waste is essentia

Role of Learning Management Systems for Music Education

This article gives an insight into how the technology of learning management system (LMS) is implemented in the process of teaching and learning the traditional performing art form like the Hindustānī classical music, Khayāl. Khayāl is an evolved form of music that encompasses intricate elements of improvisation. The lack of standardisation in the existing teaching systems poses a challenge to bring this genre of classical music to a common platform with the purpose of institutionalisation. Besides this, the world has gone through a technological revolution with the use of the internet in different walks of life including education. While the adaptation to the changing world has been possible with many individuals and organisations teaching online, it is important at this juncture to examine the quality and effectiveness of the distance learning online format used in music. This study is carried out by choosing, as a model, the Shankar Mahadevan Academy, a pioneer institution in the field of imparting Indian classical music education mainly online, through their SeekLMS platform and an overview of what the LMS platform brings forth to aid the learning of music.

Editorial to the Special Issue “Systems Engineering and Knowledge Management”

Editorial to the Special Issue “Systems Engineering and Knowledge Management”

Considerations for Decision Makers and Developers Toward the Adoption of Decentralized Key Management Systems Technology in Emerging Applications

Considerations for Decision Makers and Developers Toward the Adoption of Decentralized Key Management Systems Technology in Emerging Applications

Do Pro-Environmental Factors Lead to Customers’ Purchase Intention of Home Energy Management System? The Moderating Effects of Energy-Efficient Habits

Environmental challenges, encompassing climate change and global warming, compel consumers to alter their consumption habits. Although there has been a notable surge in consumer awareness regarding pro-environmental practices, especially concerning home energy, there remains a lack of comprehensive research exploring the factors affecting consumers' willingness to adopt or invest in home energy management system (HEMS) technology. Notably, there have been no studies focused on the factors influencing HEMS purchase intentions (PI) in the Iranian context. Grounded in the theory of planned behavior (TPB) and the norm activation model (NAM), this research delves into PI of Iranian households regarding HEMS, categorizing it as a type of eco-friendly behavior. It specifically analyzes the influence of factors such as attitude (ATT), social norms (SN), perceived behavioral control (PBC), awareness of consequences (AOC), personal norms (PN), and energy-efficient habits (EEH). Moreover, this research scrutinizes the potential moderating effects of EEH on the association among ATT, PBC, and PI. Using structural equation modeling, an innovative integrated model was tested based on data collected from 220 Iranian residents. The findings revealed that ATT, SN, AOC, and EEH significantly contribute to the purchase intention of HEMS among Iranians. Additionally, both AOC and SN were found to influence PN. These insights offer a fresh perspective on the pro-environmental determinants shaping the HEMS purchase decisions of Iranian consumers.

A Computer Vision Engineering Management System for Automated Defect Detection in Electronic Components Manufacturing

Traditional digital image processing techniques face problems such as complex feature extraction and weak robustness when dealing with surface defects of multiple categories of electronic components. Deep learning is widely used in industrial defect detection. However, the performance of electronic component defect detection at the pixel segmentation level needs to be improved. For pixel-level defect detection, this paper constructs a defect detection model (ECSDDNet) for electronic component surface defects in computer vision engineering management system. To improve the segmentation accuracy and detection effect, three stages of experiments are conducted to address mis-segmentation problems and the shortcomings of the Unet network structure. Firstly, a classification network that can perform weight transfer is used to replace the encoding structure in the Unet network. Secondly, a simplified version of the feature fusion is proposed and added to the skip connection of the Unet network. Finally, label smoothing is used to optimize the loss and improve the generalization of the network. After the optimization experiment, some noisy contours and small defect contours that are mis-segmented are removed. Experimental results show that ECSDDNet has good segmentation effects on electronic component surface defects and can meet the segmentation and detection needs of electronic component surface defects.

Informing future quarantine practices through the experiences of COVID‐19 quarantine facility staff

AbstractBackgroundThe COVID‐19 pandemic necessitated the rapid development of quarantine sites, prompting the need for new staff models and scopes of practice. This project surveyed health and non‐health staff at a large outdoor quarantine facility in regional Australia to gather insights for future quarantine facility guidelines based on their experiences and perceptions.MethodsThis translational research project implemented a mixed‐methods approach to analyse staff perceptions of working at a quarantine facility to inform the development of a policy and practice guide. An anonymous online survey utilising purposive sampling was distributed to 410 multidisciplinary survey participants over an 8‐week period. Survey questions focussed on site processes, challenges and recommendations for future implementation of quarantine services. Qualitative data was thematically analysed with the aid of Leximancer, and a descriptive statistical method was used for quantitative data analysis.ResultsThere were 92 survey respondents from health and non‐health roles; of these, 85% indicated they would work at the quarantine facility again, and 90% agreed residents were well cared for. There was a lack of anxiety of acquiring COVID‐19, with 95% feeling safe from COVID‐19 transmission onsite. Challenges staff identified highlighted future investment areas, including leadership communication models, information technology (IT) management systems specific for quarantine services and site processes to better accommodate weather elements.ConclusionOverall, staff validated the primary health model of quarantine care with key challenges highlighting the importance of leadership and investment in communication and IT. The results were aligned with site functions and operations and will inform the development of a pandemic quarantine facility guide.

Research on the Construction of High-level Postgraduate Tutors Team based on Reform of Scientific and Technological Management System

The postgraduate tutor is the key force of postgraduate training and the first responsible person of postgraduate training. The postgraduate tutor team is the key factor to ensure the quality of postgraduate education. In order to better respond to the challenges brought by the reform of the scientific and technological management system in the new era, grasp the opportunities brought by the new situation, analyze and sort out the current situation and problems of the college's tutor team, and explore the construction mechanism of high-level postgraduate supervisor team under the new situation.

Promotion of practical technology of the thermal management system for cylindrical power battery

Amidst the industrial transformation and upgrade, the new energy vehicle industry is at a crucial juncture. Power batteries, a vital component of new energy vehicles, are currently at the forefront of industry competition with a focus on technological innovation and performance enhancement. The operational temperature of a battery significantly impacts its efficiency, making the design of a reliable Thermal Management System (TMS) essential to ensure battery safety and stability. Cylindrical power batteries are widely utilized in the industry. This article outlines the four main structures and their drawbacks of TMS for cylindrical power batteries. Among these structures, air cooling falls short in meeting high heat dissipation requirements. Liquid cooling is expensive, intricate, and adds considerable weight. Phase Change Materials (PCM) are not yet prevalent in practical applications. Similarly, heat pipes are relatively uncommon in large high-power battery packs. To better align with the new energy vehicle industry’s demands for top-notch performance, cost-effectiveness, eco-friendliness, and reliability, this paper strongly recommends delving deeper into composite cooling solutions. The construction of an economically viable and fully optimized composite cooling method is poised to become a significant scientific challenge for future research endeavors.

Digital health technologies in enhancing patient and caregiver engagement in heart failure management: Opportunities and challenges

The management of heart failure has undergone significant evolution, advancing from the initial utilization of digitalis and diuretics to the contemporary practice of personalized medicine and sophisticated device therapy. Despite these advancements, the persistent challenge of high hospitalization and readmission rates underscores an urgent need for innovative solutions. This manuscript explores how the integration of digital health technologies into interventional cardiology marks a paradigm shift in the management of heart failure. These technologies are no longer mere adjuncts but have become foundational to a modern approach, providing tools for continuous monitoring, patient education, and improved outcomes post-intervention. Through an examination of current trends, this perspective article highlights the transformative impact of wearable technologies, telehealth platforms, and advanced analytical tools in reshaping patient engagement and enabling proactive care strategies. Case studies illustrate the practical advantages, including enhanced medication adherence, early detection of heart failure signs, and a reduction in healthcare facility burdens. Central to this new digital health landscape is the Information Technology Management (ITM) system, a framework poised to revolutionize patient and caregiver engagement and pave the way for the future of interventional cardiology. This manuscript delineates the ITM system's innovative architecture and its consequential role in refining current and prospective cardiological interventions.

Revolutionizing Hospital Operations: A Comprehensive Analysis of Hospital Management System Implementation

Hospital Management System (HMS) technology will transform hospital operations. This summary summarizes HMS implementation's main components, goals, advantages, and drawbacks. Patient registration, appointment scheduling, EMR, billing, inventory management, and analytics are integrated into the HMS. Its main goal is to improve hospital efficiency, automate operations, and centralize information management. Implementing an HMS improves patient care by providing rapid access to precise information, operational efficiency, financial procedures, and data accuracy. The challenges include comprehensive staff training, strong data security, and smooth healthcare system connection. Healthcare organizations are developing digitally, making the hospital administration system essential for patient outcomes and hospital administration

ПРОГНОЗУВАННЯ ВЛАСТИВОСТЕЙ ЛЕГУЮЧИХ ДОБАВОК – ВАЖЛИВА СКЛАДОВА ОДЕРЖАННЯ ЯКІСНОГО МЕТАЛУ

The main goal of the work is to predict the complex of physicochemical and thermophysical properties of additives from the standpoint of their contribution to the directed formation of the quality of steels. As a scientific basis for the development of analytical dependencies, the work uses the original concept of directional chemical bonding, the core of which is the consideration of metal melts as chemically unified systems, and not a mechanical mixture of constituent elements, and taking into account the contribution of all components, even in small concentrations, as well as the accumulated experience of creating information and analytical systems for forecasting and management of iron and steel smelting processes at the Iron and Steel Institute of Z.I. Nekrasov National Academy of Sciences of Ukraine. The information component is a database on the properties of metallurgical melts, namely the "Ferroalloys" database chosen as the starting point for modeling, which is continuously updated with modern data. A successful combination of information and scientific resources ensured the development of stable models with high forecast accuracy (R2 ≥ 0.95) for domestic brands of ferroalloys (ferromanganese, ferrosilicomanganese, metallic manganese). The findings presented in this work are recommended for integration into the automated technological process management systems of steelmaking with the aim of further forming a competitive final product.

Assessing resilience in mechanical systems: an industrial perspective

PurposeResilience as a novel concept has attracted the most attention in the management of engineering systems. The main goal of engineering systems is production assurance and increasing customer satisfaction which depends on the suitable performance of mechanical equipment. “A resilient system is defined as a system that is resistant to disruption and failures and can recover itself and returns to the state before failure as soon as possible in the case of failure.” Estimate the value of the system’s resilience to increase its resilience by covering the weakness in the resilience indexes of the system.Design/methodology/approachIn this article, a suitable approach to estimating resilience in complex engineering systems management in the field of mining has been presented. Accordingly, indexes of reliability, maintainability, supportability, efficiency index of prognostics and health management of the system, and ultimately the organization resilience index, have been used to evaluate the system resilience.FindingsThe results of applying this approach indicate the value of 80% resilience if the risk factor is considered and 98% if the mentioned factors are ignored. Also, the value of 58% resilience of this organization’s management group indicates the weakness of situational awareness and weakness in the vulnerable points of the organization.Originality/valueTo evaluate the resilience in this article, five indicators of reliability, maintainability, and supportability are used as performance indicators. Also, organization resilience and the prognostic and health management of the system (PHM) are used as management indicators. To achieve more favorable results, the environmental and operational variables governing the system have been used in performance indicators, and expert experts' opinions have been used in management indicators.

СИСТЕМА ТЕХНОЛОГИЧЕСКОГО МЕНЕДЖМЕНТА В РОССИЙСКИХ И ЗАРУБЕЖНЫХ НЕФТЕГАЗОВЫХ КОМПАНИЯХ

The paper analyzes technological management systems in oil and gas companies, compares approaches and methods of process management in Russia and abroad. The basic principles and tools used for effective management of technological processes in the oil and gas industry are highlighted. The author identifies the key factors influencing the success of technology management systems, such as innovative approaches, the quality of personnel, the level of automation and the introduction of modern information technologies. The main challenges and trends in the field of technology management are also analyzed, including the need to comply with strict safety standards, resistance to changes in the energy market and environmental sustainability requirements.

Automatic control system of pyrogas parameters in pyrolysis process in acetylene production

Nowadays existing technological process management systems increasingly require the development of criteria related to ensuring the quantity, quality and technological safety requirements of chemical technological processes. Due to the specific characteristics of these criteria and their subjectivity, the task of repeatedly checking and evaluating remains relevant. In this article, the parameters important in the production of pyrogas, which is the main product in the production of acetylene, and a method of complete control of the safety of the technological process have been developed. In the specified installation, an optimal automatic control system is installed so that we can control the parameters of the pyrolysis process: flow, temperature and pressure. In the article, the parameter control system in the technological process in the TIA Portal V15.1 software is built on the basis of the PID controller. In addition, system functionality, specifications, hardware and device models were also reviewed. It is aimed at reducing the impact of the human factor and increasing safety in production. Also, the basic principles of hardware management at different levels are presented to ensure high reliability of the entire system.

A review of Li‐ion battery temperature control and a key future perspective on cutting‐edge cooling methods for electrical vehicle applications

AbstractCovid‐19 has given us a new way to look at our globe with regards to minimise air and noise pollution and thereby upgrading global environmental conditions. This positive pandemic outcome indicates that green energy is the future of energy, and one new origin of green energy is lithium‐ion batteries (LIBs). Electric vehicles are constructed with LIBs, but they have a number of disadvantages, including poor thermal performance, thermal runaway, fire dangers and a higher discharge rate in low‐ and high‐temperature conditions. The underlying fault of LIBs is their temperature reactivity. Extreme temperatures and challenging working circumstances can cause lithium‐ion cells to malfunction and cause the battery pack (BP) to overheat. For optimal performance in vehicles and long‐term LIB durability, LIBs must be thermally managed within their operating temperature span. This paper presents an overview of several cooling strategies used to maintain the internal BP temperature. This paper discusses cooling techniques using air, liquid and phase change material (PCM), heat pipe. Additionally, various BP configurations and heat generation techniques are explored. This research also discusses the usage of nanomaterials to address the BP's heat‐related problems. This study emphasises the use of nanomaterial to boost the heat conductivity of coolant in order to raise the batteries temperature into their ideal working range (PCM as well as liquid cooling). This article also provides some of the research gaps that have been found and the crucial areas on which attention should be directed in order to build the best lithium‐ion battery thermal management system technology.