International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

Monitoring and acting on basic energy consumption data in garment production does not provide information about performance improvement. The use of an energy Key Performance Indicator or metric is an effective method for overseeing, analysing, and optimizing any process related to energy. Typically, these performance indicators are employed by manufacturers who rely on energy as a crucial input in their production. Nowadays, for all garment production companies in Albania, energy is a key input in production and all are interested in having low energy Key Performance Indicators.
The main purpose of this study is to evaluate the performance of a garment production company time to time, through energy Key Performance Indicators and discuss the results.
The study has shown that the energy Key Performance Indicators help optimize any kind of energy relevant process and by comparing energy Key Performance Indicators the company performance can be evaluated time to time.
From the results for two different periods, the second year showed better energy efficiency or performance. Comparing the Key Performance Indicators of the same months over two years resulted in a significant decrease in the second year, but however different factors can influence (the complication of models, operators leave, etc). Average Key Performance Indicator decreased by 68.38 percent in the second year. The company has been able to produce more and use less energy. The fastest and most cost-effective ways to save money can be achieved by utilizing energy more efficiently.
Taking different measures led to a decrease in Key Performance Indicators (new efficient technologies, Photovoltaic system implementation, awareness raising, which will be discussed in future studies), which means better energy efficiency or performance.

A theoretical analysis of Industry 4.0’s effects on human resources management (HRM) is provided in this article. It looks at the potential and difficulties presented by the digital revolution, emphasizing the necessity of Smart HR 4.0. Workforce planning, job design, hiring, and staff development in response to emerging technologies like AI and big data are some of the major issues that have been studied. The significance of Education 4.0 in educating the labor force for jobs of the future is also emphasized in the essay. It emphasizes the necessity of HRM methods that change to meet Industry 4.0’s changing demands.

This paper evaluates the potential of waste-to-energy (WtE) solutions in managing industrial and municipal waste in Bulgaria. It provides an overview of current WtE technologies, including thermal, biochemical, and innovative processes, and assesses their applicability within the Bulgarian context. The study highlights environmental and economic benefits such as reduced landfill use, decreased greenhouse gas emissions, and energy recovery. By examining successful implementations in Bulgaria and other EU countries, the paper identifies key challenges and opportunities for scaling WtE solutions. The findings suggest that with the right policy support and investment, WtE can significantly contribute to sustainable waste management in Bulgaria

Recent studies indicate that over 80% of organizations have initiated their digital transformation journey, yet only approximately 25% perceive tangible benefits from these endeavors. Delving into the reasons behind these perceptions, it becomes evident that digital transformation lacks practical implementation. This research treats digital transformation as a project, adhering to project management principles. It delineates a pragmatic approach to digital transformation project management, highlighting key considerations at each stage. Furthermore, insights from an interview with Huawei Türkiye’s R&D director, HR business partner leader, and payroll and personal affairs manager shed light on Software as a Service (SaaS) as a pivotal component of contemporary digitalization. SaaS is believed to expedite successful integration, positioning companies favorably against competitors in remarkably short durations.

Sustainable entrepreneurship development meaning is a big challenge for scientific society and demands cooperation strengthening with entrepreneurs , princely states with structures and with youth who influence they make sustainable development in a new way on understanding and they need innovative approaches .
In this paper we have reviewed and investigated sustainable entrepreneurship development stimulates economic , social and environment dimensions which they form various prerequisites and certain circumstances are filled each other and hand promote in country sustainable entrepreneurial activity high level . It is important that countries they took obligation priority to be granted to advance , for which creativity, knowledge, technology and financial resources of society by addressed will be Sustainable Development Goals – SDGs to achieve all in context . This goals taking into account , by 2030 possible should to become all of a woman and of men complete and productive employment and decent of work achievement.
It is emphasized that countries should support the development of higher education, especially to increase the staff of higher professional education by expanding the educational balance, by increasing the financing of education for sustainable development, for the existence of more knowledgeable and qualified personnel.

Current materials science and materials engineering focus on the development of innovative advanced materials. According to Organisation for Economic Co-operation and Development (OECD) advanced materials are intentionally designed and engineered materials to have new or enhanced properties, and/or targeted or enhanced structural features to achieve specific or improved functional performance. Advanced materials include both high and low tech materials. Innovative materials are previously known classic materials used in new applications that have commercial potential. Published in February 2022, the Materials 2030 Manifesto calls for the creation of “a strong European Materials ecosystem to drive the green and digital transitions alongside a sustainable inclusive European society through systemic collaboration between upstream developers, downstream users, and citizens and all stakeholders in between.” The problem of lack of access to new (functional, circular) advanced materials urgently needs to be solved due to the following risks of not delivering on Green Deal and Digital Agenda, loss innovation markets, loss of jobs, relying on polluting and hazardous materials, as well as future geopolitical dependency. The activities undertaken by the Advance Materials Initiative (AMI2030), established in June 2022, led to the development of the Materials 2030 Roadmap and the Strategic Materials Agenda. These documents set European development trends in innovative advanced materials area.

This paper explores various models of integrating independent Electric Vehicle Charging Stations (EVCSs) into Montenegro’s electricity distribution system (EDS) and energy market. It examines different possibilities by applying a multidisciplinary approach to the EDS integration coupled with market frameworks to form a novel holistic perspective for participations and influences of various stakeholders. The primary goal is to envisage and achieve a more efficient integration of different prosumers models that own and engage independent EVCSs with photovoltaic systems into the EDS and transport infrastructure. This approach is aimed at reducing CO2 emissions, promoting electromobility, engagement of citizens, and facilitating distributed renewable electricity generation at the point of consumption. Through the analysis of each of the three identified prosumer models, we give specifics of the integration within the grid, solar energy exploitation potentials, practical options for energy provisioning during and outside sunny periods etc. Economic, legal, and technical implications are integrated, and recommendations are provided using economic modelling and game theory formulations between the relevant actors and within regulatory provisions to optimize electric mobility in Montenegro.

Category Management (CM) is undergoing a transformation thanks to artificial intelligence (AI). AI automates tasks such as data analysis, market segmentation, and demand forecasting, which streamlines and simplifies the work of category managers. It also allows the creation of innovative strategies and campaigns that are relevant to customer needs. This paper focuses on identifying ways in which AI can help to create innovative strategies needed to optimize prices and product lines within category management with the aim to maximize profitability. The paper deals deeper with price optimization, where AI significantly impacts CM. AI analyzes price elasticity and suggests optimal prices for products, which affects the maximization of profitability. Thanks to AI, category managers no longer have to rely on manual analysis and intuition, but they can set prices with much greater accuracy and efficiency. Based on the findings and case studies in the article, the implementation of AI in CM brings companies significant benefits in terms of efficiency, innovation, and profitability. However, it requires strategic planning, investment in technology, and talented people. It is also important to be responsible and ethical when using AI to avoid negative impacts on customers and society.

This publication analyses the process of transforming the online economy into a circular one. The focus of the analysis is on the progress of the European Union member states in reducing waste. Member States’ progress towards a circular economy is slow. The circular business model should not be seen as wishful thinking, because it will be crucial for companies in the future. The circular economy is at the heart of the European Green Deal and plays a key role in decarbonisation and achieving climate neutrality by 2050 and in the fight against pollution. Circular economy means smarter use of resources. The circular economy is built using sustainable economic models based on innovation and technology to allow the repeated use of the same resources. Achieving a zero carbon footprint on the natural environment by 2050. is the top priority. This would only be possible if the world moves towards a circular economy, and this is one of the highlights of the Green Deal, while also aiming to increase the competitiveness of the economy.

Achieving a comprehensive approach to the issue of resilience of entities that are critical to the proper functioning of the national economy requires the creation of a comprehensive framework addressing the resilience of critical entities to all hazards, whether natural or anthropogenic, accidental or intentional. For this purpose, good practice implies the use of European and international standards and technical specifications that are relevant for both security measures and resilience measures applicable to critical infrastructure.
Precisely, the presentation of updated information on a possible approach that requires innovation in the field of security and protection of critical infrastructure is the content of this publication.

Customer satisfaction is a priority for any business that wants to be successful over a long period of time. Feedback from customers who share their opinion about the products and services offered by the company gives a complete picture that can be used for precise planning, statistics and implementation of new aspects in the service. The purpose of this article is to present some techniques for processing data obtained from customer feedback.

In this paper, we evaluate the formal education active labor market policy programs in Slovenia during the great recession. The quasi-experimental method of propensity score matching is applied. Performance of active labor market policy programs is typically measured with the average treatment effect on the treated. In the short term, the programs do not reduce unemployment and are characterized by a high dropout rate or a high percentage of unsuccessful completions due to some problematic target groups.