Papers by Keyword: Training

Abstract: The study presents the development of an artificial intelligence (AI) software system for decision-making in occupational safety and health (OSH) management at mining enterprises. The system is structured into four interconnected modules - data acquisition, memory (knowledge storage), computation, and output/visualization - corresponding to the classical Input-Memory-Process-Output model of computer systems. The developed software enables the processing of large data sets, risk assessment, and generation of recommendations for improving OSH management. The scientific novelty lies in creating a specialized AI tool that integrates data processing, risk and opportunity evaluation, ethical and legal boundary definition, as well as forecasting and modeling of performance indicators. The practical value of the study is the implementation of an AI-based system that enhances occupational risk management, supports informed decision-making, and contributes to improving occupational safety and health standards in mining enterprises.

Abstract: The implementation of Industry 4.0 is based, among other things, on the digitization and greening of manufacturing systems. Most traditional manufacturing systems are known for low productivity and efficiency. They are also known for the impact they have on the environment, with relatively high carbon footprints. The paper transfers a series of knowledge on the steps to be taken to transition a traditional manufacturing system to a digitized and green one. Customization of this discussion is done for manufacturing systems that have joining processes (welding and soldering). Each set of measures, whether aimed at the transition to digital or aimed at the transition to green, has two components: a technical component, directly related to the transformation of the hardware system (equipment, devices, measuring instruments) and a component auxiliary which is related to the transformation of the human resource, the modification of the working conditions and the continuous optimization of the newly created system. As no change is possible without removing employee misunderstandings and suspicions, the communication to be implemented must be clear, prompt, cover all levels of staff and continuously provide confidence by presenting successful cases and related beneficial figures.

Abstract: Skilled workers in the apparel industry possess the knowledge and expertise required to produce high-quality garments. Their proficiency ensures that products meet or exceed industry standards, resulting in customer satisfaction and repeat business. Skilled workers also tend to be more efficient and productive, reducing waste and increasing overall production output. Nowadays, the apparel industry faces problems like unskilled labour and a lack of seriousness from top management regarding the training of workers. Many factors impact the effectiveness of training centres. The apparel industry has no designed parameters to gauge the training centre's efficiency. This study investigated the presence and effectiveness of training centres in the apparel industry using data collected through a Google Form survey and analysed using SPSS and AMOS software. Results show that enhancements are needed in management behaviour, trainee and trainer's role, infrastructure, tools and equipment to ensure that training programs meet industry requirements and produce competent professionals. By implementing the recommendations highlighted in this research, training centres can enhance their effectiveness and contribute to developing a skilled and competitive workforce in the apparel industry.

Abstract: Studying the behaviour of engineering systems and processes from the perspective of applications of artificial intelligence provides an invaluable reference to improve their productivity and industrial development at large. This study comprehensively unveiled the problems faced by engineering systems and how artificial intelligence could be deployed as a technique for the future advancement of the industry. A brief background of the application of artificial intelligence in some selected engineering fields revealed that insufficient operational and process data from both plants and processes are major problems causing the survival of sustainable intelligent systems thereby, leading to incessant system failure. Furthermore, it was equally discovered that artificial intelligent for specific application are based on the data obtained from such application. Thus, there is no universally agreed artificial intelligent for a specific application. This made it a bit complex in developing intelligent systems. Keywords: Artificial Neural Network, Applications, Engineering, Training, Data.

Abstract: The research for this article consists in analysis of some questionnaire distributed among different higher education institutions and VET centers in the different EU countries. First, it was made a characterization of the target group involved in the questionnaires, which is important to evaluate the real situation of the teachers and trainer and to understand what can be done in terms of teaching and training in the future. The study consists in analysis of the main characteristics of the participants, namely country, type of organization, position and age of the participants. To understand the major needs and expectation of digital education, and particularly in what micro-learning is concerns, as it was verified that the Lack of time is one of the main obstacles to learning and training. Other questions aimed at having a broader overview of the expectations and needs in terms of digital Learning in Europe. Based on the analysis of these results it was verified that, as in most of the fields, socio-economic inequalities between learners continue to be the biggest challenge, followed by the lack of plan and vision for integrating digital technologies in education and training in terms of Digital Learning in Europe; Lack of European high-quality online learning content and lack of availability of suitable digital tools and technologies.

Abstract: Purpose - The current study integrated number of research fields to develop and test a model on the determinants of employees’ happiness and creativity. Hypothesizing that quality of work life, perceived training intensity and job security affect employees’ happiness and creativity in in the United Arab Emirates (UAE) Public sector. Design - The study uses survey data from 120 employees from public sector companies in United Arab Emirates (UAE). Based on an extensive literature review, eight hypotheses were formulated and explored. These were tested through multiple regression analysis using smart PLS Partial Least Squares. Findings – Work life balance, perceived training intensity and job security showed no significant relationship. However, the relationships only exist through the feeling of happiness. Research limitation – The sample is from a single sector (public) in a single country. Future research would benefit from examining the above relationships in privet sector in the UAE. It could also explore the validity of these relationships in the public sector of other countries in the Middle East and Gulf regions. Originality/value –few studies have adequately examined their determinants particularly in UAE. Although research examining the employee creativity in public sector is limited, it is clear that public sector stands to gain from creative employees because employee creativity and innovation will contribute to the attainment of organizational goals. KEY WORDS-Employee creativity, Employee happiness, Job security, Training, Work-life balance, Human resources, UAE, Public sector Paper Type –Research paper

Abstract: In the conditions of development of rates of the modern production the role of a heat treatment as a main way of receiving steels with the given structure and mechanical characteristics increases. The details applied on production have to have a long endurance not only at an ambient temperature, but also have high strength characteristics at low and high temperatures. In this regard, special attention is paid to the steel applied to manufacturing of such details. 13Mn6 steel concerns one of them. The definition of an influence of a heat treatment of steel - training at various temperatures, steel 13Mn6 on its rust resistance was the purpose of this work. For achievement of a goal such problems as a research of an influence of the various temperature of annealing of steel 13Mn6 on a value of hardness on Rockwell's method were solved; gravimetric researches after a heat treatment for identification of a temperature schedule of the annealing having the maximum indicators of corrosion were held. It is shown that, after spending vacation hardness of exemplars decreases with an increase in temperature. For assessment of corrosion aggression of the environment on the studied exemplars mass and deep indicators of corrosion were paid off. The maximum corrosion rate is observed when training, and the subsequent annealing at a temperature of 300°C, minimum at a temperature of annealing of 500°C.

Abstract: The article is about the research of the level of the adequate perseption of humanities students of the nanotechnology modernization results. The necessity of training specialists with adequate perception of nanotechnology modernization results is justified.

Abstract: Employees are very important to every organization. This study attempts to examine the effectiveness of current human resource management utilization and practices in oil and gas projects in Malaysia, as well as to study the importance of having effective human resource management practices utilization. The human resource management practices namely training and development, performance appraisal, compensation, employee empowerment and ownership as well as work environment are the main practices that has being focused. A questionnaire form has been distributed to the employees of PETRONAS Carigali SDN BHD (PCSB), a leading oil and gas operator in Malaysia including their contractors.

Abstract: In recent years, concrete repair has become an integral part of the construction industry. With the vast quantity of concrete used in the South African construction industry over the past 100 years, one can expect an increase in repair and rehabilitation requirements during the extended lifecycle of exposed concrete structures. Crack repair, re-profiling of spalled areas and surface sealing with polymer related materials forms the bulk of such repair and rehabilitation operations. Due to the complexity of these projects and the variety of professionals and other stakeholders involved from the diagnostics to the implementation phase (specialists consultants, contractors, suppliers and owners of the structures), considerable problems seem to have surfaced to ensure cost-effective but sustainable and durable outcomes. It has been found that in many concrete repair projects, the responsibility for the repair work, adequate quality control and the assessment of successful patch repairs are not fully embraced by the various stakeholders.This concern has led to the research as reported in this paper. The research entailed a series of questionnaires drawn up specifically for the four different stakeholder sectors of the concrete repair industry. The results indicate that, although there is agreement that concrete repair is a highly specialized field, there is not enough training in the correct use of the repair materials, nor enough knowledge regarding the diagnostics or material specification and selection processes. Knowledge on polymer modified mortar are also minimal. These problems are compounded by inadequate quality control and lack of ongoing monitoring of patch repair failure. The paper concludes with suggestions on the way forward.