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  • Comparative Analysis of Collaborative Robots
    1-16
    Views:
    404

    In our study, we provided a comparison of four robot arms used in industry to determine  the most suitable model to adopt in university education. We investigated robot arms from the following manufacturers: ABB, Kuka, Universal Robots, and Techman Robot. The multi-criteria system was grounded on the important factor and experience. Following this, each aspect was ranked using the Analytical Hierarchy Process (AHP) method. In addition, the order among the four alternatives was established by using the Kesselring method. The present study describes a selection method for industrial robots in the academic area.

  • The Possible Job Creation and Job Destructive Effects of Technological Development
    53-61
    Views:
    501

    Throughout history, technological change has often provided the basis for employee anxiety. Between 1811 and 1816, a group of workers in England who called themselves "Luddists" destroyed machines, because they thought it would endanger their workplace. 19th-century thinkers and economists such as Karl Marx and David Ricardo predicted that mechanizing the economy would ultimately worsen workers' conditions, depriving them of a decent wage. Over the last century, John M. Keynes (1930s) and Wassily Leontief (1950s) have expressed their fears that more and more workers will be replaced by machine solutions that will lead to unemployment. In recent years, Brynjolfsson and McAfee (2014) have argued that existing technologies reduce the demand for labor and put some of the human workforce at a permanent disadvantage. However, there are a number of compensation mechanisms that can offset the initial displacement effects of automation and process innovation in general (Vivarelli, 2015). First of all, while workers are being replaced in industries that introduce new machine technology, additional workers in new industries are needed. Second, automation (and process innovation in general) reduces average costs. Acemoglu and Restrepo (2017) found that this results, on the one hand, in the effect of price productivity (“priceproductivity”) (as production costs decrease, the industry can expand and increase labor demand); and, on the other hand, it leads to economies of scale in production (the reduction in costs due to automation leads to an increase in total output and increases the demand for labor in all industries). Similarly, Vivarelli (2015) argues that lower average costs can result in lower prices (if the industry's market structure is perfectly competitive), stimulate product demand, or result in extra profits (if the industry's structure is not perfectly competitive). If these extra profits are reinvested in the company, this investment can create new jobs. The presentation intends to present these counterbalancing cases and to provide real examples based on the literature.

  • An Overview of the Situation of SMEs in Hungary in Catching up to Industry 4.0
    72-80
    Views:
    380

    Since I have been working I have been in contact with small and medium-sized enterprises (SMEs) and large companies in various ways. I have thus been confronted with the disadvantages of the former in terms of the introduction and use of 4IF technologies.  Yet most of them are aware that to remain competitive in the market, they cannot avoid digitising their operational processes to some extent. I have also found that this mainly depends on the characteristics of the organisation; for example, its orientation. Domestic SMEs are therefore currently at a competitive disadvantage in the market. However, there is no information on whether there is a trend towards development and where they themselves should develop. This would help them to develop the right, achievable vision for the future, coupled with a feasible business strategy.

  • The Future of AI-Integrated Project Management: A Structured Literature Review Based Risk Identification
    42-67
    Views:
    513

    The evolution of AI is changing the landscape of project management. The integration of AI into project management brings many advantages, yet it is also accompanied by prominent weaknesses and serious challenges. In addition, rapidly evolving technologies continue to transform the field’s dynamics. These evolving dynamics result in ambiguity about the current state of the field, and consequently, create an uncertainty regarding a roadmap for future advancements. The purpose of this paper is to address this challenge by developing a well-grounded conceptual insight that identifies the risks associated with AI adoption in project management, guiding both academia and industry towards a structured approach to its future advancements. This paper conducts a detailed structured literature review, adhering the PRISMA protocol, to evaluate the impact of AI on key facets of project management, its potential benefits and implementation challenges. Then it analyzes the literature and synthesizes the key findings. Finally, it conducts comprehensive analysis to identify both positive and negative risks i.e. opportunities and threats. This in-depth analysis and its findings enable us to understand the nature of the risks, and how those can be harnessed or mitigated to advance the field. Furthermore, it provides both academia and industry the foundation to plan improved risk mitigation strategies and to develop a structured adoption framework. This study is expected to make a significant contribution to the advancement of the field.

  • Prediction of FLD using Abaqus and Gurson Model for Simple Flat Spacemen
    32-44
    Views:
    263

    In the past century, in many industries, such as, metal forming industry, it has been important to predict ductile damage and fracture of metals under complex loadings. Regarding damage mechanics, one of the most classical models is the GTN, which was originated from Gurson and later enhanced by Tvergaard and Needleman. The inprovement was achieved by introducing an equivalent void volume fraction f and two more parameters called q1 and q2 into the yield function of Gurson’s model.

  • VET 4.0 and Vocational Teacher Training
    12-23
    Views:
    286

    Vocational Teacher Training is a small but important element of the regional industrial development. Nowadays the state-of-the-art industrial organisations and processes generate new jobs and positions, and additionally, need new competences. To be able to establish the successful carrier of young professionals these requirements have to be taken into consideration. Teacher Training Programmes of Universities provide new generations of Teachers of Engineering and their approach will determine the nature of the teaching process at VET (Vocational Education and Training) schools. Universities have to adapt to the current requirements of the industry and have to support VET with updated curriculums and training methods.

  • Digital Twin and Shadow in Smart Pork Fetteners
    515-520
    Views:
    457

    This paper introduces our ongoing research in the field of smart livestock farming. The base idea in this research is to take some industry based concepts, and adapt them into agriculture. In Industry we live the  fourth industrial revolution, which is not a technical, but an organization revolution. So in this concept there are two key ideas, which are digital twin, and digital shadow. This article is about creating digital twin and digital shadow of a modern pig fattener. These models are based on the literature, and are identified on the data shared in these. However, these models can’t be used on real systems before identifying them on the actual circumstances. At this stage of research only digital twin of the product was created, and only some aspects of it. This however can simulate an average porkers feed consumption, weight growth and calculate the weight on certain stages of breeding. Further development is ongoing and our target is to make a fully functional model of a pig fattener.

  • Performance Management Innovation is a Medium-Sized Enterprises of Light Industry/
    1-9
    Views:
    403

    To achieve the strategic objectives of the management of a company, has to monitor and coordinate continuously the tasks of the employees, they have to do to reach the targets. In this action, sometimes the management of the company has to make corrections in the work and motivations of the employees. This article presents a case study carried out on a medium-sized companies working on the light industry field. It presents a new motivation system for the employees to increase up those products, for those who are at the bottom of the producing rankings of the company, moreover to develop their performance to reach the average level. Here has to be mentioned that, the employees at the bottom of the performance rankings producing under the average levelobligates totally the same amount of circulating and standing capita of the company, lead to the intervention of the management. The norm based requirements within the framework of the production system were completed to provide the more efficient working of the employees, besides strengthen their skills and their loyalties to their colleagues. As a result of the innovation of the performance management the product of the employees standing at he bottom of the rankings increased up considerably. It has manifested formerly in the decrease of the pointing error fixed to the personal monthly norm, moreover it showed the catching up of the employees standing at the bottom of the ranking to the middle. The case that the employees at the bottom get closer to the others in the middle of the ranking helped to contribute to achieve the strategic objectives of the management through reducing the average cost of the producing, since increasing the budget of the producing activities.

  • Utilisation and Quality Management of Power Plant Fly Ash
    329-337
    Views:
    360

    Over the past decades, both the residential and industrial energy demand has increased due to the continuously growing consumption and production. As a large share of the electricity is still produced using fossil fuels, the utilisation of the by-products is a contemporary and pervasive issue. Fly ash is generated in large quantities in coal-fired power plants and has been proven to be an appropriate raw material for various industrial uses. Among others, it is applicable as an additive and lightweight aggregate in the cement and concrete industry, can be used for CO2 sequestration, glass foam production, catalyst production, or as a base material for geopolymers, as well. Geopolymers are inorganic polymers produced via the reaction between solid alumina and silica containing or alkali silicate materials in alkali media. Due to their numerous advantageous properties and wide variety of utilisation possibilities, research on fly ash base geopolymers became widespread topic. The quality of fly ash is determined by technical requirements, and the degree of quality control requirements depends on the final use. In certain fields of applications, standards and regulations have already been created to ensure the consistent quality of the final products made from fly ash, e.g. in the cement and concrete industry. There are various methods for fly ash processing, however, the methods to achieve the necessary properties are not standardised.

  • Long Container Dwell Time at Seaport Terminals: An Investigation Study from a Consignee Perspective
    Views:
    842

    Many companies are concerned about the problem of increasing average dwell time for their import containers at the port of the final destination and therefore incurring additional shipping costs in form of demurrage charges for the port administration and detention charges for the shipping line. Previous studies have addressed this topic by analyzing terminal operations and evaluated its effects on port productivity and competitiveness; however few studies have explicitly explored long container dwell time causes from a consignee perspective. This research aims to identify the causes of long dwell time for the import containers at port storage yards for one of the leading FMCG companies in Jordan. To that end, the data of import containers whose stay at the terminal exceeded the free storage days in the period between 2019 and 2020 were collected by referring to the set of shipping documents and reviewing the correspondences between the consignee and other parties in the supply chain. Based on the timelines that have been analyzed for each case of delay to the collection of shipping documents in consideration with the payment terms, as well as the clearance and delivery timelines, ten causes for the long container dwell time have been identified and classified into three main categories according to the types of flow in the supply chain; five causes related to information flow, two causes related to cash flow, and three causes related to physical flow. The impact of these causes has been evaluated using the demurrage and detention charges as a measure indicator and the findings of this research have also revealed that the causes related to cash flow have a greater impact than the other types of causes.

  • Introduction to Design and Analysis of Torsional Vibration Dampers in Vehicle Industry
    310-324
    Views:
    532

    The crankshaft of today’s internal combustion engines with high performance output are exposed to harmful torsional oscillations originated from the unbalanced gas and inertial forces. To avoid the fatigue damage of engine components, caused by the undesired vibrations, torsional vibration dampers can be applied. Viscodampers are one type of the torsional vibration dampers, which operational fluid is silicone oil. For cost-effective R&D activities and production, finite element and finite volume numerical discretization methods based calculation techniques must be involved into the engineering work supported by the modern computer technology. The aim of this paper is to provide an insight into the multidisciplinary design and development process of visco-dampers in vehicle industry applications. Four different examples as structural, fatigue, CFD analyses and structural optimization have been introduced in the present work. It turned out from the static structural and fatigue analyses, that the investigated damper has safety factor over the limit for both static structural and fatigue analyses, so it is suitable for the given load conditions. In the structural optimization process 34.36% mass reduction has been achieved. According to the coupled fluid dynamic and heat transfer simulations a rather stagnating air zone evolved between the engine and the damper during the operation, which can cause efficiency reduction of cooling fins mounted onto the housing. In light of the numerical results, the suitable damper position has been determined for the highest heat transfer.

  • Inbound and Outbound Tourism in China: A Perspective Article
    91-107
    Views:
    1060

    The tourism industry in China has undergone significant changes due to globalization, technology, and changing consumer preferences. This perspective article, based on a systematic literature review, examines examines trends, challenges, and opportunities in inbound and outbound tourism in China, focusing on the industry's dynamism. Both inbound and outbound tourism have been negatively impacted by the COVID-19 pandemic, which has prompted new strategies and environmental adaptations. China has changed its priorities within the country to encourage domestic travel and support local firms. The rise in internationalisation and the growing middle class in China have led to an unprecedented rise in outbound travel. Chinese travellers are affecting travel habits and spending all around the world in the tourism sector. Language barriers, cultural differences, and safety concerns are some of the challenges that come with travelling abroad. To reach its full potential, China needs to adapt to the shifting global environment and take into account the specifications and preferences of both inbound and outgoing tourists. 

  • Battery Measurement Methods and Artificial Intelligence Applied in Energy Management Systems
    428-436
    Views:
    302

    Diagnostics of batteries using advanced methods have gained remarkable roles in the past few years. This study focuses on the type of measurements, tests and methods to reveal and classify them. During manufacturing and operation several faults could emerge in batteries including non-optimal operation conditions, operators without experience, and finally, random changes in batteries under physical and nonphysical conditions. Improper handling of batteries and battery cells man cause operation failures or, in the worst case, accidents. To reveal these problems several methods are applied in industry and in scientific laboratories. For a comprehensive analysis of battery management, artificial intelligence and Industry 4.0 methods can be used very effectively. Big Data analysis in its standard form is not a new achievement, but other mathematical tools could be applied to control monitoring such as Fuzzy Logic or Support Vector Machine (SVM). They are efficient tools to analyse the deviation of batteries condition because it can detect sudden changes, parameter deviations and anomalies, and the user’s behaviour and habits. This article gives a description about the most important battery testing methods and the connection between Big Data and Operation Management with Artificial Intelligent (AI) methods.

  • New Research methods of Sales-Marketing Interfaces
    160-183
    Views:
    558
    The energy invested in research in this topic is justified by the fact that the lack of optimal integration between SM (sales-marketing) can negatively affect overall corporate efficiency. The aim of this article is to present possible research methods that can reveal the impact of selected indicators, such as information exchange, coordination, vision and communication, conflicts, on the operation of the SM interface, according to Hungarian and foreign employees of international companies, and how they affect sales and marketing collaboration between pharmaceutical companies (PMC) and non-pharmaceutical companies (NPMC). It also attempts to demonstrate how the Partial Least Square (PLS) path modeling technique can provide valuable information on the consequences of management activity, and how the methods provided by Voyant Tools provide further research through quantitative analysis of qualitative data on the marketing sales interface (SMI), they can open up opportunities. The PLS-PM modeling technique was used to explore the relationships between the selected factors and possible hidden variables. These results clearly demonstrate that there are factors that influence SM collaboration that operate differently in PMCs and NPMCs, and that nationality differences can have a significant impact on how employees evaluate factors that affect SM collaboration. Of the methods we selected by Voyant Tools, the t-SNE (t-Distributed Stochastic Neighbour Embedding) tool proved to be the most sophisticated analysis, allowing the deepest analyzes by exploring relationships between groups of terms.
  • Analysis of the Benefits of SAP S/4 HANA Cloud IT/Is Investment in the Case of PT XYZ
    13-24
    Views:
    703

    PT XYZ is one of the largest telecommunication companies in Indonesia. In 2020, PT XYZ implemented a digital transformation to increase its excellence by investing in industry telecommunication and information systems (IT/IS) enterprise resource planning software called SAP (System Application and Processing) S/4 HANA Cloud. The study aims to analyze the benefits of these IT investments made in PT XYZ. The results are carried out using the Comparative Analysis of Financial Statements followed by Business Value and Financial Feasibility Analysis and the Cost Benefit Analysis (CBA) method between 2018 and 2021. It can be revealed that the SAP S/4 Hana Cloud investment benefits the company's operations, which are identified in the form of 5 sub-categories that fall into required categories based on Ranti's Generic IT/IS Business Value.

  • Possible ways of IP Commercialisation in the European Higher Education Ecosystem
    56-74
    Views:
    551

    Strong links between universities, and companies can play crucial role in promoting taking into practice of ideas that drive the knowledge society, and in raising competitiveness and living standards. In academic terms of IP management, all activities aimed at sharing knowledge generated in research institutions as a knowledge transfer including scientific publishing, conference presentations, collaborative research with external partners, and contract-based clustering activities, such as licensing and spin-offs. In a narrower sense, the IP management means technology transfer is aimed at placing a given technology on the market, and includes any process by which the recovery partner becomes able to produce new products or services. IP with traditional university mission, values, and activities primarily focusing an active university role in entrepreneurship and contracts with private sector for IP commercialization. This paper gives a comprehensive overview about IP management in universities of the European Higher Education System including the following aspects: partnerships (licensing, industry collaborators); IP invention (disclosures, patenting); proof of concept research bridging the gap between lab discoveries and market application (highly innovative R&D to solve practical problems and commercialization research aiming patented technologies towards business exploitations) and commercialization (start-up incubators and strengthening the entrepreneurial attitudes and competencies). The methodology based on secondary research analysing EU, OECD, on-line literature sources and relevant, up-to date statistical data as well. The conclusions and recommendations based on this „desk research” work reflects the authors.

  • Investigation of the Luxury Yachts Condition and Their Maintenance
    95-105
    Views:
    407

    Surveying the condition of yachts and their maintenance is of great importance for their functionality and efficiency. Finding the right approaches, expertise at different levels, design benchmarking are essential for all yacht maintenance and security, resulting in crew and passenger safety. This report presents an evaluation and expertise in a real environment and documentation of decision-makers for the strength and functionality of a luxury motor yacht. For a good understanding of the problem, detailed photographic material has been documented showing in detail the required technical corrections. The research would be of interest to a wide range of yacht design and industry professionals, academic and research representatives, yacht users and all interested stakeholders.

  • Manufacturing Process Optimization and Tool Condition Monitoring in Mechanical Engineering
    72-89
    Views:
    472

    The optimization of manufacturing and production processes with various computer software is essential these days. Solutions on the market allow us to optimize and improve our manufacturing and production processes; one of the most popular software is called Tecnomatrix, which is described in this paper. Tool condition monitoring is a vital part of the manufacturing process in the industry. It requires continuous measurement of the wear of the cutting tool edges to improve the surface quality of the work piece and maintain productivity. Multiple methods are available for the determination of the actual condition of the cutting tool. Vibration diagnostics and acoustic methods are included in this paper. These methods are simple, it requires only high sensitive sensors, microphones, and data acquisition unit to gather the vibration signal and make signal improvement. Extended Taylor equation is applied for tool edge wear ratio. Labview and Matlab software are applied for the measurement and the digital signal processing. Machine learning method with artificial neural network is for the detection and prediction of the edge wear to estimate the remaining useful lifetime (RUL) of the tool.

  • Polylactic Acid as a Potential Alternatives of Traditional Plastic Packagings in Food Industry
    123-129
    Views:
    523

    Huge quantity of synthetic polymers is used as packaging materials in different fields of food industries. A significant part of these polymers applied as a primary, direct food contact construction. The scoped application area is the sweet industry. In this field Polystyrol (PS), Polypropylene (PP) and Polyethylene terephthalate (PET) have used but during the last fifteen years the usage of PET has been grown. In one hand the price of this material is efficient, form other hand the PET is the one of the most safe (for food industrial applications) petrol chemical plastic that can be used as primary or secondary food contact packaging material. To maximize the customer safety and minimize the environmental impact of traditional PET, a new bio-sourced and bio-degradable alternative polymer aimed to be used in this special food industrial segment. One of the potential alternatives is the Polylactic acid (PLA) that would be a possible substitute as it is compostable and produced from renewable sources and has good physical and mechanical properties [1].

  • Examining the employees and sectors of the economy according to the digital competence in the EU memeber states
    344-357
    Views:
    415

    In this study, the challenges of digital development and its sectoral effects were examined between 2015 and 2017 in the EU Member States, based on data of OECD, Eurostat, and the World Bank. The connection between the countries' digital development and sector dominance was analyzed. I found - in line with international research - that in countries that belong to the developed group, the high value-added service sector is dominant. The statistics of developing countries’ supported the assumption, that industry is the engine of the economy. The analysis of the underdeveloped countries revealed that agriculture and industry are the most important sectors compared to other countries. Measuring the demand of developed countries for ICT professionals, I examined the relationship of individuals with different digital competencies to one kind of self-education. In line with international research, my database showed that digitally unskilled people are the least likely to take advantage of online courses. As a continuation of the research, it would be worthwhile to carry out this study in other economic areas as well. Especially in areas where salaries for high-digital occupations do not differ significantly between countries in the region.

  • Topology Optimization of Automotive sheet metal part using Altair Inspire
    143-150
    Views:
    1276

    In an optimization problem, different candidate solutions are compared with each other, and then the best or optimal solution is obtained which means that solution quality is fundamental. Topology optimization is used at the concept stage of design. It deals with the optimal distribution of material within the structure. Altair Inspire software is the industry's most powerful and easy-to-use Generative Design/Topology Optimization and rapid simulation solution for design engineers. In this paper Topology optimization is applied using Altair inspire to optimize the Sheet metal Angle bracket. Different results are conducted the better and final results are fulfilling the goal of the paper which is minimizing the mass of the sheet metal part by 65.9%  part and Maximizing the stiffness with Better Results of Von- Miss Stress Analysis,  Displacement, and comparison with different load cases.  This can lead to reduced costs, development time, material consumption, and product less weight.

  • Exhaust System Muffler Volume Optimization of Light Commercial passenger Car Using Transfer Matrix Method
    132-138
    Views:
    329

    Nowadays, the automotive industry is focused on weight and size reduction. Main advantage of this weight and size reduction are improving the fuel economy. The specific fuel consumption of a vehicle can be improved through e.g. downsizing area of heat loss, if we focus on vehicle with weight reduction. Weight reduction can be done by replacing material or by changing the size (dimensions) of components. In the present work we have focused on Audi A6 muffler, troubleshooting and optimizing the muffler by changing pipe length of inlet and outlet, also by replacing the original mesh plate to porous pipe. Based on optimization, prototype has been built with the help of 3D design tool CATIA V5 and the calculations of transmission loss (TL) have been performed by MATLAB. Plane wave-based models such as the transfer matrix method (TMM) can offer fast initial prototype solutions for muffler designers. The principles of TMM for predicting the transmission loss of a muffler was used. Result of this present study of an existing muffler has been analysed and then compared with vehicle level test observation data. Noise level have been optimized for new muffler design. Other literatures were played significant rule for validate our results.

  • Effect of the Friction Coefficient on Clinch Joints
    86-90
    Views:
    377

    In this study the effect of the friction coefficient on the clinch joints was examined in experimental and numerical way also. The knowledge of the frictional behaviour during the mechanical joining (i.e. clinching) is important from the point of view of resultant geometry which is related to and influence the strength of the joints, and furthermore the maximal forming force is limited by the tool’s failure load which can be reach with a non-favourable frictional condition, as well the aesthetic aspect are also has an importance in some special cases (e.g. in automotive industry).

  • Parametric Programming Applied to the Optimal Production Structure in Determining
    375-389
    Views:
    241

    The agricultural planning often the question arises, how the different input (fertilizer, feed, irrigation, etc) from what to use on a production (land, animals) unit basis, and to what intensity. The input transformational efficiency experiments by setting analysis and evaluation. For example examined the nutrient replenishers fertilization experiments, the effect of nutritional values of the feed on the body weight gain, milk production in animal experiments. The input input efficiency to the external environment (weather, soil conditions, unexpected events), the technology used and the biological factors both influence. The farmer must be chosen in each sector, taking into account the magnitude of these inputs and environmental requirements. The economic optimum is usually trying to approach the sectoral level, which serves as the basis for future planning data. The mathematical programming models using relatively simply and quickly determine the optimal production structure. The models provide the specific resource requirements for, and the limitations of the objective function coefficients are calculated on the basis of sectoral. This becomes a deterministic model, and we can get the appropriate sectoral analyzes outstanding results of production structures. Therefore the relationships within sectors directly incorporate mathematical programming model and corporate interests placed above the interests of the industry to determine the intensity of the sectoral inputs. in their article a fertiliser application example, we present the production structure and the plant production sector fertiliser input of a time optimization, in which the fertilizer for specified sectoral relationships appear in the model objective function.

  • Designing Aspects and Classification of Bearing Industry Box Handling Apparatus
    325-334
    Views:
    253

    It has been an accepted tendency in the industrial practice since the last third of the 20th Century to decrease the living labour demand of the manufacturing processes. One of the main tools of it is the automation of production. In the design, the construction and the programming of the developed automata, the results of electronics, informatics and mechatronics can be used. All of the scientific fields mentioned above undergo intensive development. By the application of the results achieved in the design of the applications, the monotonous, dangerous and tiresome work not requiring expertise can be assigned to machines. In the longer run, the application of the automata is beneficial also in financial aspect, since the costs of living labour are continuously growing, while that of the mechatronic and technological devices show a rather decreasing tendency. Reliability is also an important aspect. It is well known for everyone that a well-designed and programmed automatic device performs its task without mistakes. If there is any objection or breakdown, on the basis of the currently valid safety technology rules, the machine stops, does not trigger any damage and after its repair, work can be continued.