Industrial Management System Research Articles

Factors enhancing implementation of occupational safety and health management systems in manufacturing industry of Mutare, Zimbabwe

IntroductionSeveral studies elucidating a plethora of factors that influence establishment of OSH management systems in many industrial sectors have been conducted worldwide. Very few studies have been conducted to explicate factors influencing OSHMS implementation in Southern African countries, particularly in Zimbabwe. The study evaluated factors enhancing implementation of OSH management systems in the manufacturing industry of Mutare.MethodsA descriptive cross-sectional research design was utilized in the study. Primary data sources were questionnaires and interviews, and secondary data sources were e-OSH databases and past OSH research papers among others.ResultsThe results revealed the primary factors that enhance OSHMSs implementation as strong senior management commitment, involvement and support, strong employee involvement and participation, good safety culture, provision of adequate resources among others. Strong senior management commitment, involvement and support was identified as a catalyst of all other factors enhancing implementation of OSHMSs, hence a recommendation is made for employers to invest in programmes aimed at bolstering management commitment, involvement and support to OSH management.DiscussionConsidering that lack of adequate resources emerged as a significant impediment to OSHMS implementation, the study challenges the Government to take a leading role in establishing policies that unlocks various funding mechanisms to support workplaces in overcoming financial barriers in the implementation of OSHMSs. It can be inferred from the study results that employee involvement is central to effective implementation of OSHMSs as it enables the generation of knowledge, ideas and deployment of abilities that are paramount in enhancing OSH management. Inferential statistics also revealed the existence of an association between factory size and implementation of OSHMS. Development of scaled down OSHMSs requirements for small to medium manufacturing companies (SMMCs) is recommended considering the unattractiveness of OSHMSs in SMMCs owing to sustainability challenges. This recommendation places a demand on researchers and OSH stakeholders globally to rethink the current global order for OSHMSs implementation in order to advance an approach to OSHMSs implementation in the SMMCs that is sensitive to contextual compounding factors. The study develops a framework that is key in creating a “preventive safety culture” at workplaces which is an epitome for sustainability in OSHMSs implementation.

Assessing the efficiency of the ISO 9001 quality management system in the Kuwaiti banking industry through the application of the structural equation model (SEM)

Assessing the efficiency of the ISO 9001 quality management system in the Kuwaiti banking industry through the application of the structural equation model (SEM)

JOULE HEATING EFFECT ON TERNARY NANOFLUID FLOW AND HEAT TRANSFER OVER A PERMEABLE CYLINDER

This study presents a comprehensive numerical investigation into the Joule heating effect on ternary nanofluid flow and heat transfer over a permeable cylinder. The nanofluid consists of copper, alumina, and titania nanoparticles suspended in a water base fluid. Key physical parameters, including magnetic field strength and suction, are incorporated into the model to assess their effects on the flow and thermal performance. The governing partial differential equations are transformed into ordinary differential equations via similarity transformation and solved using the bvp4c solver. The results are validated against previously published studies, showing excellent agreement. The analysis reveals that Joule heating significantly impacts the temperature distribution within the boundary layer, increasing its thickness. However, its influence on the skin friction coefficient and overall flow behavior remains minimal. These findings provide valuable insights into optimizing heat transfer and fluid flow in systems that utilize ternary nanofluids, with potential applications in advanced cooling technologies and industrial heat management systems.

Monitoring Technologies in Industrial Systems

Monitoring technologies, which are at the heart of the industrial Internet of Things ecosystem, promise significant transactional efficiencies by making it easier to track product performance and contract compliance. These efficiencies are particularly compelling in industrial multivendor, multicomponent systems, where complex component interdependencies often cause disputes around liability in the case of product failures. Drawing on transaction cost theory, fieldwork, and a national survey of industrial original equipment manufacturers (OEMs), we estimate how product performance contracts are specified in these contexts, and how these monitoring technologies can impact ex post exchanges between OEMs and their suppliers. We find that systems architecture associated with multicomponent systems, as well as the presumed efficiencies of monitoring technologies, drive the contract designs through their potential impact on the disputes, monitoring, and contract writing costs faced by the OEM. However, we also find there are clear limits to the benefits offered by these monitoring technologies, as the greater monitoring facilitated by these technologies appears to exacerbate disputes. This counterintuitive finding comports with the view that when unforeseen interdependent failures occur, detailed data from monitoring may trigger a spate of disputes over new and unexpected information, as well as over the appropriateness of existing protocols for failure metrics and remedies.

Implementation and Experimental Application of Industrial IoT Architecture Using Automation and IoT Hardware/Software.

The paradigms of Industry 4.0 and Industrial Internet of Things (IIoT) require functional architectures to deploy and organize hardware and software taking advantage of modern digital technologies in industrial systems. In this sense, a lot of the literature proposes and describes this type of architecture with a conceptual angle, without providing experimental validation or with scarce details about the involved equipment under real operation. Aiming at overcoming these limitations, this paper presents the experimental application of an IIoT architecture divided into four functional layers, namely, Sensing, Network, Middleware and Application layers. Automation and IoT hardware and software are used to implement and apply the architecture. Special attention is put on the software Grafana, chosen in the top layer to deploy graphical user interfaces that are remotely accessible via web. A pilot microgrid integrating photovoltaic energy and hydrogen served as scenario to test and prove the suitability of the architecture in four application cases.

Improving the industrial development management system of the Donetsk People's Republic

Subject. This article discusses the economic development priority areas of the Donetsk People's Republic as a new subject of the Russian Federation. Objectives. The article aims to develop recommendations and proposals for improving the management system for the development of the Donetsk People's Republic's industry. Methods. For the study, we used logical and structural analyses. Results. The article reads of the need to improve the management system for the development of the Donetsk People's Republic's industry and the creation of a specialized ministry for the development of new territories of the Russian Federation. Conclusions. The article confirms the hypothesis that the effective development of industry in the new regions of the Russian Federation can be ensured on the basis of the creation of a centralized State structure that implements a systematic approach to the coordination of the activities of economic entities.

Research on Intelligent Industrial Park Management System

In recent years, the scale of industrial parks in China has grown rapidly, but the use of intelligent management methods for industrial park management in China has not been carried out for a long time and lacks relevant experience. To explore the management mode and application characteristics of smart industrial parks, this article derives the operation mode of the smart industrial park management system based on the digital twin infrastructure, and elaborates and analyzes the main functions and characteristics of the smart industrial park management system, To provide reference and reference for better promoting the management system of smart industrial parks.

Intelligent Energy Management Systems in Industry 5.0: Cybersecurity Applications in Examples

The article examines modern approaches to energy management in the context of the development of Industry 5.0 with a particular focus on cybersecurity. Key tenets of Industry 5.0 are discussed, including the integration of advanced technologies with intelligent energy management systems (IEMSs) and the growing need to protect data in the face of increasing cyber threats. The challenges faced by small and medium-sized enterprises (SMEs) using solutions based on renewable energy sources, such as photovoltaic farms, are also analyzed. The article presents examples of IEMS applications and discusses methods for securing these systems, offering an overview of cyber threat protection tools in the context of modern energy management. The analysis carried out provided information that will help businesses make rational decisions and contribute to shaping the state’s macroeconomic policy on cybersecurity and energy savings. The results of this research can also help develop more effective strategies for managing technology and IT infrastructure, which is crucial in the digital age of Industry 5.0.

The energy sector of the economy of the Arctic zone of the Russian Federation from the perspective of national security: legal aspects

Russia’s Arctic zone plays a key role in the development of energy resources on the world stage. At the same time, the development of the energy sector of the economy is associated with solving the tasks of the national security of the Russian Federation. The effective solution of these tasks is possible due to the more active use of the tools offered by the “green” economy and alternative energy, which requires a significant modification of legal regulation. However, at the moment, a complete replacement of the raw hydrocarbon sector in the world, according to researchers, seems impossible. Today, the main engine of the development of the Russian Arctic is precisely the raw energy sector, and the global economy is based mainly on energy, which is produced from mineral resources. The development of energy in the Arctic zone depends on the level of industrial safety. Industrial safety can be understood as the state of protection of personal interests (vital and property), as well as public interests (society and the state) due to the system of industrial safety management provided for by legislation. The industrial safety management system and the Institute of Civil Liability Insurance for owners of hazardous facilities is a comprehensive mechanism for preventing accidents and neutralizing their negative consequences at hazardous facilities, which is especially important for the Arctic zone of the Russian Federation. The main problems of the implementation of this mechanism and the ways to solve them are outlined.

Digital twin for decision support system of industrial utility management

Manufacturing and industrial operations rely heavily on energy that is generated mostly from fossil fuels, such as coal, oil, and natural gas, which harm the environment and contribute to climate change. Thus, renewable energy is being integrated into industrial processes to lessen environmental effects and reduce fossil fuel usage. However, the renewable source performance process can be greatly affected by disturbances and constraints, such as ambient air temperature and relative humidity, minimum utility consumption, and the total energy required, making effective control difficult. This study proposes a digital twin built with machine learning regression techniques for load demand forecasting as a decision-support system for industrial utility management. From the results, the ensemble tree (ET) model produced the highest accuracy, based on validation and test dataset root mean squared error values of 23.164 and 27.558, respectively, and R2 values of 0.96 and 0.95, respectively. The digital twin and load demand forecasting approaches effectively created an efficient operating schedule for industrial utility management. The ET model had a total error of 23.86%, substantially lower than the average load demand's total error of 65.29%. Therefore, the ET model with weather conditions in four scenarios could be recommended to optimize energy utilization when creating the operating schedule.

Implementation of a performance management system for environmental sustainability in an industrial organization

Abstract The paper explores the implementation of process performance management systems in the automotive industry, specifically focusing on improving the assembly line of an organization within this sector thanks to the introduction of cobots in the line of manufacturing electronic modules used in car seat control systems. With an emphasis on environmental sustainability and circular economy (CE) concepts, the study investigates the positive effects of optimizing mechanical and electromechanical systems within the assembly line. Leveraging concepts such as KAIZEN and Gemba Kaizen, along with the guiding principles of Just-In-Time (JIT), Continuous Improvement and Automation with a Human Touch (JIDOKA), the research aims to elucidate the potential benefits of such enhancements. Key performance indicators (KPIs) including Overall Equipment Effectiveness (OEE), First Pass Yield (FPY), and scrap rates were considered. Rejects, primarily stemming from human error in part handling, emerged as the major challenge facing this assembly line. To address this issue, collaborative robots were introduced to automate part handling, replacing manual processes with precise and reliable automation. Before the implementation, the cycle time stood at 13.6 units, which was reduced to 12.5 units post-implementation, resulting in a significant increase in productivity equating to 3000 more parts produced per week. OEE increasing from 80% to 87.74%, FPY rising from 96.42% to 98.48%, and the scrap rate decreasing from 0.06% to 0.02%. By addressing inefficiencies at the assembly line level, organizations can achieve significant improvements in performance metrics while concurrently contributing to a greener and more sustainable future.

РОЛЬ ГОСУДАРСТВЕННЫХ И ЧАСТНЫХ СТРУКТУР В ФОРМИРОВАНИИ ОРГАНИЗАЦИОННОЙ МОДЕЛИ СИСТЕМЫ УПРАВЛЕНИЯ В ТУРИСТСКОЙ ИНДУСТРИИ

The scientific article highlights the key aspects of tourism development management, including strategies, financial support, regulation and the results of a comprehensive study of the role of public and private structures in the formation of an organizational model of the management system of the tourism industry of the Republic of Kazakhstan are presented. In the course of the work, an overview of existing development strategies was conducted, the roles of public and private structures in the formation of infrastructure were highlighted, and the effectiveness and prospects of cooperation between these sectors were analyzed. The presented analysis includes an assessment of the degree of engagement, the effectiveness of resource use, as well as identifying the advantages and disadvantages of existing partnerships. The article also examines the key benefits of cooperation, such as combined experience and knowledge, financial empowerment and joint marketing promotion. At the same time, disadvantages such as bureaucratic obstacles and risks to data privacy are highlighted. Recommendations for improving cooperation between public and private structures are proposed, and prospects for the development of the tourism infrastructure of the Republic of Kazakhstan are highlighted. The possibilities of intensifying the dialogue, creating a unified development strategy and promoting innovation and digitalization in tourism are discussed. The work provides an extensive overview of the current state of the tourist infrastructure and is aimed at forming practical recommendations for its sustainable development. Keywords: tourism industry, tourism infrastructure, development strategies, public structures, private structures, environmental sustainability, financial support, strategic cooperation.

AUTOMATION OF LABOR PROTECTION SYSTEM MANAGEMENT AT AN INDUSTRIAL ENTERPRISE

In the hearing State, to which the Republic of Kazakhstan belongs, issues related to occupational safety and health at industrial enterprises, regardless of the form of ownership, are given quite a lot of attention. Because the citizens of the country are the main wealth of the country. If at large enterprises, including with the participation of foreign capital, the process of ensuring labor protection measures is organized to some extent, then at medium-sized and small businesses, work is practically not carried out. Today, in the subjects of medium and small businesses, the organization of accounting, control and timely instruction, if conducted in the old-fashioned way with an entry in journals or in word or excel documents, which today is not only not effective, but also does not ensure the full fulfillment of the duties of an occupational safety engineer and safety regulations (FROM and TB). The adopted Law on Digitalization, the tasks set by the President of the Republic of Kazakhstan in, require managers of industrial enterprises, technical specialists dealing with labor protection issues to radically change the organization of the process of ensuring the learning process, monitoring and compliance with safety and sanitary rules using information technology. The article presents a computer program capable of integrating into an automated industrial enterprise management system, in particular, into an automated workplace of an industrial safety engineer. The developed computer program allows employees of an industrial enterprise (of any division) to be instructed and tested in a remote format directly at the workplace; The practical application of the developed program on a small business entity during the year made it possible to increase the effectiveness of labor protection measures by 25 %, eliminate occupational injuries and reduce the level of safety violations by 75 %. Keywords: control automation system, labor protection, industrial enterprise,information systems, program.

The role of technology in modern industrial processes: a comparative analysis of automated, automatic and mechanical systems

In the modern technological sphere, systems are categorized into various types based on their level of complexity and functional capabilities. The primary types are mechanical, automatic, and automated systems. Each of these types has its unique characteristics and areas of application. Mechanical systems are the simplest of all. They consist primarily of physical components such as gears, levers, and springs, which interact to perform specific tasks. These systems typically lack built-in control or regulation mechanisms, and their operation is based on basic mechanical principles. Examples of mechanical systems include simple clock mechanisms or traditional measuring devices. Automatic systems represent an evolutionary step beyond mechanical systems, as they include elements for automatic control. These may be electrical or electronic components that enable the system to perform certain operations without direct human intervention. For example, automatic doors or thermostats that regulate room temperature are examples of such systems. They can respond to changing conditions and perform tasks based on predefined parameters. Automated systems, in turn, are the most complex and integrated. They combine automatic control with software and advanced management systems, allowing them to adapt to changing environmental conditions and make decisions independently. Automated systems may include elements of artificial intelligence and machine learning, enabling them to perform complex tasks such as data processing or optimizing production processes. Examples include industrial robotic lines or management systems in distribution networks. Thus, the main differences between these systems lie in their level of complexity and functional capabilities: mechanical systems are based on simple physical principles, automatic systems contain elements of automatic control, and automated systems provide a high level of integration and autonomy.

Developing innovative software solutions for effective energy management systems in industry

Developing innovative software solutions for effective energy management systems in industry

Innovation In Industrial Engineering and Mechanical Systems: Advancements, Challenges, and Future Trends

This article investigates recent innovations in industrial engineering and mechanical systems, emphasizing how technological advancements impact manufacturing efficiency, sustainability, and cost-effectiveness. Through a review of current technologies, such as additive manufacturing, automation, and smart materials, the study assesses the key challenges industries face and forecasts emerging trends in mechanical engineering and industrial innovation. The article also discusses the potential for artificial intelligence and machine learning to revolutionize industry standards and drive forward engineering solutions.

Development of an Industrial Practical Training Information and Management System

Development of an Industrial Practical Training Information and Management System

Innovation using dynamic balanced scorecard design as an industrial safety management system in a company in the mining metallurgical sector

Over the years, industrial safety management in Peru's metallurgical mining sector has become a business problem with no acceptable solution. Annual statistics reveal an average of 60–70 fatal accidents in companies in this sector. This paper proposes using the Systemic Methodology to Develop and Maintain a Dynamic Balanced Scorecard MSDBSC-EM) to be used in the industrial safety management of the safety department of a Peruvian company in the metallurgical mining sector. This methodology was created at the Instituto Andino de Sistemas - IAS of Peru and combines the criteria of the Balanced Scorecard with the modeling of System Dynamics and contributions of the Soft System Methodology. This proposal demonstrates that dynamic simulation facilitates organizational learning and allows the designing of action plans in the present to manage the future. Also, modeling and computer tools facilitate the development and implementation of prototypes, which can be used to analyze required scenarios through pleasant and easy-to-use environments. In this sense, a dynamic model of key performance indicators of objectives, goals and initiatives was developed and four scenarios (A, B, C and D) were analyzed, from which it can be observed that the degree of commitment and leadership with the Industrial safety affects the increase in the level of preventive culture, which in turn favors the prevention of risks and the achievement of tangible objectives in industrial safety, evident in the drastic decrease in the occurrence of accidents and occupational diseases, and this is achieved to the extent that the personnel have the necessary competencies, which in turn is obtained through constant comprehensive training and the appropriate selection of personnel. On the other hand, the operating budget of the security department is a limiting factor in achieving these criteria. Another important aspect is the degree of existing communication, which affects the increase in the level of preventive culture.

Leveraging Cloud Computing for Collaborative Project Management in the Nigerian Construction Sector: Benefits, Challenges, and Prospect

This study explores the adoption of cloud-based collaborative project management systems in Nigeria's construction industry. By conducting a comprehensive literature review, the research focuses on the barriers, benefits, and strategies for effective implementation. Despite the recognized advantages of cloud computing, such as improved collaboration, cost efficiency, and enhanced project delivery, challenges such as poor infrastructure, cybersecurity concerns, and limited digital skills hinder widespread adoption. The research highlights the positive impact of cloud technologies on large firms in urban areas while emphasizing the need for broader infrastructural investments and capacity building across the industry. Suggestions include enhancing digital infrastructure, promoting training programs, developing a regulatory framework tailored specifically for cloud computing within the construction sector, and fostering public-private partnerships. The study also suggests future research directions, including exploring the role of SMEs, assessing the integration of emerging technologies, and evaluating the long-term effects of cloud adoption. By addressing these challenges and opportunities, cloud computing has the potential to transform Nigeria’s construction sector.

Improving the industrial safety management system at enterprises with chemically hazardous sites

This study focuses on developing an industrial and occupational safety management system for enterprises that contain chemically hazardous sites. The methodology, based on an expert approach, enabled the authors to design the structure of the risk management system at such enterprises. It also facilitated the identification of clusters and their descriptors, along with their roles in evaluating the state of the safety management system. The proposed methodology features a flexible and universal structure, making it applicable for assessing industrial and occupational safety across different enterprises, taking into account the specific technological aspects of production processes. In this case study, the authors examined the accident rates, injury hazards, and health risks associated with chemically hazardous sites in enterprises located in the Republic of Kazakhstan. The findings of this study provide a methodological approach that industrial enterprises can use to evaluate the effectiveness of their safety management systems. This allows for the development of measures aimed at preventing chemical accidents and reducing their impacts.