17th International Week Brochure

Jelenlegi hely

17th International Week Brochure

CIORTEA, Elisabeta Mihaela

Dr. Elisabeta Mihaela CIORTEA graduated from the Faculty of Machine Construction at the Technical University of Cluj Napoca, Romania in 1997 and obtained her PhD in Industrial Engineering at the Technical University of Cluj Napoca in 2008.
He studied master in Information Technology and Communication (2006-2008) at "Lucian Blaga" University of Sibiu, Romania and master in Institutions of Private Law (2007-2009) at "1 Decembrie 1918" University of Alba Iulia, Alba Iulia, Romania.
Has published over 80 papers in international and national journals; He has joined several international and national conferences and symposia as a participant, organizer or reviewer.
I am a reviewer and a member of the organizing committee at several conferences. I am an editor of 2 international journals and 2 national publications.
I am a member of 4 national and international professional associations.
Participated in over 10 projects developed in the "December 1, 1918" University of Alba Iulia.
Has developed over 10 books and textbooks dedicated to the study of students.
I am currently a lecturer at the "1 Decembrie 1918" University of Alba Iulia, Alba Iulia, Romania in Alba Iulia and take courses in Robotics, Mechanics, Strength of Materials, Quality and reliability, Industrial Electronics, Flexible industrial communication systems, Audit of information systems, Legal informatics both at bachelor's and master's courses.
Dr. Ciortea's scientific fields are the following: discrete event systems, Petri nets, manufacturing systems, Industry 4.0, Cloud manufacturing, IoT, RAMI 4.0, Blockchain and last but not least 5G technology.
"1 Decembrie 1918" University of Alba Iulia, Romania, mciortea@uab.ro


"1 Decembrie 1918" University of Alba Iulia, Romania

COURSE TITLE: Analysis of intelligent production systems in the Smart Industry

At the beginning, the hierarchical model based on the network of discrete events for robotic systems is presented. Based on the hierarchical approach, the Petri net is analysed as a net of the highest conceptual level and the lowest level of local control. For modelling and control of complex robotic systems using extended Petri nets.
Such a system is structured, controlled, and analysed in this paper using the Visual Object Net ++ package, which is relatively simple and easy to use, and the results are presented as easy-to-interpret representations. The hierarchical structure of the robotic system is implemented on analysed computers using specialized programs.
It is possible to implement hierarchical models of discrete event systems, as a real-time operating system on a computer network connected by a serial bus, where each computer is dedicated to the local and Petri dish of a global robotic system subsystem. Because Petri models are simplified to apply general purpose computers, analysis, modelling, control of complex manufacturing systems can be done using Petri nets. Discrete event systems are a pragmatic tool for modelling industrial systems. For modelling systems using Petri nets, because we have our system in case of a discrete event. To highlight the auxiliary time the Petri model using the transport flow divided into hierarchical levels and sections are analysed successively. The proposed simulation of the robotic system using timed Petri, offers the possibility to visualize the robotic time. Applying the goods or the robot and the transmission times obtained by measuring the point, graphs are obtained showing the average time for the transport activity, using the parameter sets of the finished products.
It aims to model an intelligent monitoring and control system, leading to the optimization of material and information flows of the company. The paper presents a model of monitoring and control of the real system using intelligent systems. The simulation of the production system proposed for analysis offers the possibility to follow and control the process in real time. The use of simulation models must be understood: the influence of changes in the structure of the system, the influence on the general orders of the manufacturing process, to the influence of the parameters on the behaviour of the system. The character application consists of real-time tracking and control of the technological process. This is done based on the analysed modular systems using mathematical, graphical-analytical models for sizing, configuration, optimization and simulation.
The role of Industry 4.0 in the maintenance of manufacturing systems is highlighted. Due to the implementation of advanced technologies and ways of learning technological equipment, hard systems can adapt relatively easily to fluctuations in the manufacturing process over time. To perform the system under analysis, we used specialized packages for simulating Petri nets, and the final implementation is done on a specialized database. The model is intended to be a source of support for the activities of companies that want to adopt new technologies in the manufacturing system and identify as few errors as possible due to ensuring the necessary maintenance and control, imposed by the chosen technological process. The advantages are the prototyping and analysis of the entire system after the implementation of tracking and the ability to control the entire system, which leads to the prevention and subsequent elimination of queues or possible accidents.
It attempts a theoretical approach to cloud systems with an impact on production systems. I call systems cloud computing because they form a relatively new concept in computing, representing computing services distributed as a whole, applications, access to information and data storage without the user knowing the physical location and configuration of the systems. The advantages of this approach are in particular computing speed and storage capacity without investment in additional configurations, synchronization of user data, data processing using web applications. The downside is that it wants to identify a solution for data security, leading to distrust in users. The case study applies to a module of the production system because the system is complex.
It shows how to integrate cloud systems and access them with IoT devices. The IoT platforms addressed in the paper are Platform as a Service (PaaS) and Software as Service (SaaS). The analysis is presented by modeling a case study for discrete event systems. Because the general system is analyzed as a tiered cloud system, we will leave the general system as stochastic. Qualitative analysis aims to verify the structural and behavioral properties of the system, the existence of blockages, connection and security systems. Quantitative analysis measures the specific performance of the manufacturing system. The results show that this approach can be used to detect blockages in the system. Thus, manufacturers can resize production capacity and even optimize the entire manufacturing system.
The activity of modeling and evaluating the performance of the manufacturing system plays an important role in theoretical research and technological improvement with IoT. The study presents the method of modeling and evaluating performance based on Petri nets and expressing the behavior of the entire system. According to the information diagram of the system, the constraint relationship between locations and transitions is identified, after which the extended graphical model is built, and the method of behavioral expression is then chosen to obtain a set of performance indicators. The study is designed to verify the effectiveness and efficiency of the system.
IoT together with the components of the 5G architecture refers to the technology, monitoring and remote control and also where these technologies are applied. IoT can focus on the open innovative promises of new technologies and also on advanced and complex processing in very small and close environments, such as industrial automation.
The advantages of Petri nets modeling and analysis systems used in manufacturing are:
- Explicit relationships between events.
- The same modeling language can be used to describe the abstract of the system at different levels.
- Analysis of system properties to validate the solution.
The benchmarks will require study system available, so they can be seen. There are cases where the performance study refers to a system that is not available, it is necessary to develop a representative approximation of it, either in hardware or software.
For the elaboration of the works we have made a link to be able to do research in particular regarding the confidentiality of the cloud manufacturing, the analysis of the IoT resources in the manufacturing systems and which can equal it for research purposes, namely RAMI 4.0. IoT is described in the literature as being anything connected to a network that can communicate autonomously without additional human intervention. This concept used in production and other industrial processes allows machine designers to create intelligent equipment and machines so that they can track, record, display, monitor and adjust parameters autonomously. For the cloud, we turned to the simple definition Cloud is an application available only to customers with active mobile Internet, which offers a solution for data storage. Cloud storage consists of archiving, organizing and distributing on demand data between virtualized storage volumes that have been consolidated into hardware.
The impact of digital transformation in manufacturing includes improvements in safety, quality, production, efficiency, revenue and sustainability – all while reducing costs to remain competitive in the market.
Some major benefits of digitization for manufacturing companies
- digital solutions improve safety, fewer injuries and accidents occur at the workplace
- improvements in the quality of results, reduction of product repetition, reduction of warranty work and increase of customer satisfaction.
- effective process improvement, has a positive impact on employee productivity and production output.
Digitization is radically changing the face of manufacturing companies. Digital factories are transforming manufacturing as companies implement innovative technologies and seek employees with fundamentally different skill sets.
Leading manufacturing companies are implementing a number of key technologies to digitize manufacturing as well as their entire supply chain. These include end-to-end big data analytics solutions, real-time planning and connectivity, autonomous systems, digital twinning and worker augmentation, among many others. These technologies offer significant efficiency gains and enable companies to produce highly customized products, often at batch size. But the full effect of digitization is only realized when companies are connected in real time to their key suppliers and critical customers.

COURSE CONTENTS (for each workshop):

- Analysis Hierarchical Model for Discrete Event Systems
- Intelligent system of coordination and control for manufacturing
- Prototyping manufacturing in the cloud
- Manufacturing analysis with discrete events using IoT platform
- IoT analysis of manufacturing using Petri Nets
- Aspects regarding maintenance of the manufacturing system in Industry 4.0
- Empirical analysis of manufacturing using 5G architecture
- Empirical aspects of the analysis of the digitization of manufacturing

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Esmeralda Kadëna


Head of Applied Informatics and Statistics Department
LOGOS University College
Faculty of Applied Sciences
Tirana, Albania

Assistant Researcher
Óbuda University
Doctoral School on Safety and Security Sciences
Budapest, Hungary

COURSE TITLE: Smartphones and Security: New Challenges in a Connected World / Ethics for the Information Age

This lecture is about the rapid advancements in technology, the so-called “convenience” to control everything from smartphones vs. security risks.
Main points: General overview: the connected world; Defining smartphones (Security); Identifying security challenges and understanding the main threats; Understanding the weakest link in the security chain in the view of Technology Threat Avoidance Model; Theoretical and practical suggestions.
- To introduce the main theories of ethical decision making, weighing the pros and cons of each one.
- To get the reader thinking about how social conditions can lead to the development of new technologies and how the adoption of new technologies can lead to social change.
- To provide the reader with an introduction to the history of computing, networking, and information storage and retrieval.
- To help the reader understand how the introduction of information technology has raised some new ethical issues.

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Trung Hung VO

Mr. VO Trung Hung is currently a professor of information technology and also the Vice-Rector of the University of Danang – University of Technology and Education (UD–UTE). He graduated Ph.D. degree on IT in 2004 from the National Institute Polytechnic of Grenoble (INPG, France). He is currently a member of the AUF Scientific Council and a member of the Council of Economic and Higher Education Experts in the Asia-Pacific region of AUF. Teaching and research fields include computer science, artificial intelligence, natural language processing, data analysis, and information systems. He has published 72 scientific papers (20 papers in the SCI/Scopus index), 05 books and chaired nearly 20 national and international scientific projects. He has been invited to teach and research at universities in France, USA, Portugal, Japan, Kazakhstan,…


The University of Danang - University of Technology and Education


We are living in the digital era and industrial revolution 4.0. Information technology applications in recent years have changed the world from production, business process, society, and each individual. Information technology brings a lot of conveniences but also poses many challenges that need to be addressed.
This topic has the purpose of equipping students with basic knowledge of concepts and principles of digital transformation. They can also understand the soft aspects of digital transformation such as people, organizations and change management. They can identify pitfalls to avoid and identify critical success factors of digital transformation. In addition to introducing theoretical foundations, students will work in groups to discuss issues related to digital transformation such as core technologies, new trends, tools,...
Digital transformation is a journey, not a goal. Therefore, equipping with basic knowledge about digital transformation is extremely necessary for every individual and organization.



business analyst, application engineer, MBA


CERN - European Organization for Nuclear Research, Engineering Department, Asset and Maintenance Management Service, Meyrin, Switzerland

Péter Jurcsó was born in Budapest in 1973. He started his university education at the University of Agricultural Sciences in Gödöllő and graduated from the predecessor of the Óbuda University - Bánki Donát Polytechnic - as engineer and technical teacher with specialisation in quality assurance. From 1997-1998 he taught at the Department of Mechanical Engineering, participating in industrial development and writing textbooks.
Since 1999 he is working at CERN, the European Organization for Nuclear Research in Geneva, where the Word Wide Web was born. Initially, he worked on web technologies and their applications together with the developers of the WWW. He later moved to finance and in the meantime completed a MBA in Corporate Finance at the University of Lausanne. He also worked for 5 years on the monitoring systems of the LHC, the Large Hadron Collider. He is currently working in the field of plant economics in asset and maintenance management at the world's largest research institute.

COURSE TITLE: Modern asset and maintenance management in practice at CERN

CERN, the European Organization for Nuclear Research operates the Large Hadron Collider (LHC) the world's largest and most complex scientific instrument to study the basic constituents of matter - the fundamental particles. The about 700 surface buildings and 59km of tunnels are hosting millions of equipment requiring appropriate management from the specification until the proper disposal.
Following the introduction of the Organization and its special and legal-financial setting, the lecture will focus on concepts of asset lifecycle management of large scale infrastructures. The examples of state of the art approaches like geographical information system integration, big data, proactive spare part management, usage of mobile devices and Internet of Things (IoT) in preventive maintenance will showcase practical solutions already used at CERN.

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Prof.Dr. Petraq Papajorgji is Emeritus Professor at the European University of Tirana, Tirana, Albania. His area of expertise is modeling complex information systems. Prof. Papajorgji was for 10 years, editor-in-chief of International Journal of Agricultural and Environmental Information Systems (IJAEIS) indexed in 14 indexes in the web of Science, Associate Editor of Journal of Biomedical Data Mining, Iberoamerican Journal of Applied Computing,
Member of the Mediterranean Advisory Board (meconet.me), Member of Center for Applied Optimization University of Florida, Gainesville, Florida, USA, Honorary Citizen of Berat, Albania. Prof. Papajorgji is member of the group that were awarded the Prize of the Republic, for the study “The Conditions of the Olive Tree in Albania”, 1986.
In collaboration with a group of French researchers of CIRAD and CEMAGREF organizes the course “Modelization des systems d’information” offered at Maison de la Télédétection, Montpelier, France for 6 years. He is lecturing in “SEMINAIRE de la PEDAGOGIE et de la RECHERCHE” organized with doctoral students in Cameroun.
He is author and coauthor of a number of books published by Springer and IGI publishing houses. He is the only Albanian member of the European HiPeac project. He has won a number of international awards such Best Paper Award, IGI Publishing, Pennsylvania (USA) in 2012, Certificate for Outstanding Contribution in Reviewing. Journal of Computers and Electronics in Agriculture 2018 and Best Paper Award, 15th International Strategic Management Conference, Poznan, Poland. Prof. Papajorgji has taught a number of courses at several universities around the world.


European University of Tirana, Tirana, Albania
URL: https://uet.edu.al/en/our_team/prof-dr-petraq-papajorgji/

COURSE TITLE: Modelling flexible enterprise information systems

This course will start with a short description of the Object-Oriented paradigm, then principles of visual modelling using the Unified Modelling Language will be presented followed by examples of enterprise models in UML. Code in Java will be created automatically from the models and then the model will be tested writing code in Java. An example of a full system (model and Java code and a GUI) will be presented. At the end of the course students will get a full picture of how to design and implement an information system.

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Iwona Pawlas

Professor at University of Economics in Katowice, Poland - Faculty of Economics, Department of International Economic Relations
Author of more than 200 publications (monographs, chapters in scientific monographs, scientific papers in journals, published scientific conference papers) in Polish and English, concerning international competitiveness of nations, international trade, foreign direct investment, innovativeness, European Union integration, socioeconomic development. Expert in international economic relations and regional economic integration.
She has broad experience with summer schools and as well as internationalization through the Erasmus+ mobility programs: Slovenia (2011, 2012 and 2016), Finland (2013), Latvia (2013), Belgium (2014), Czechia (2014, 2019), Portugal (2015), Austria (2015), France (2016),
Lithuania (2017), Hungary (2017, 2018), Spain (2018), Estonia (2019).


University of Economics in Katowice
Faculty of Economics
Department of International Economic Relations
1 Maja 50
40-287 Katowice, POLAND

COURSE TITLE: The European Union in a changing global environment

The lecture focuses on the European Union integration. Crucial achievements of the European Union are presented. Selected internal and external challenges for the European Union are discussed (including Brexit, disparities in socioeconomic development, rising public debt, inflation, demographic tendencies, turbulent global environment, Covid-19 pandemic, war in Ukraine, international migration, climate change, digitalization & digital transformation). Students have the opportunity to analyze changes in international competitiveness of the economies of EU Member States. They are encouraged to think of their vision of the EU 2030.

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Wu Yue

2021- 2025 Ph.D. student at Obuda University.
Research topics: How to improve food production on the view of precision agriculture in the emerging country (economic aspect).
2019-2021 Master degree in Business development at Obuda University.
My motto: The goal of our lives is to improve ourselves continuously.


Ph.D. student (Agricultural Economic) at Obuda University, Hungary
Master degree (Business Development) at Obuda University, Hungary
Bachelor’s degree (Food Science and Engineering) at Inner Mongolia Agricultural University, China

Obuda University, Hungary: https://uni-obuda.hu/main-page/
Inner Mongolia Agricultural University: https://www.imau.edu.cn/

COURSE TITLE: The role of digitalization in agriculture

Agriculture, where the crop is grown and the livestock raised, is the basic and essential element of human life. Agriculture provides basic food and nutrition for livelihoods and other necessary products, such as fabrics. However, agriculture is encountering a lot of risks or challenges, which are equal to everyone living on the planet. The risks are from the past or have not come yet, such as climate change, limited water resources and arable lands, biodiversity loss, agriculture productivity, aging farmers, market fluctuations, consumers’ changing interest, increasing population, and demands for environmentally sustainable, etc. As we entered into Industry 4.0, which is also influencing agriculture, digital technologies are leading a new agriculture future. The use of IT, IoT, ICT, GPS, GIS, drones, robotics, AI, and other advanced technologies in agriculture significantly improves efficiency and outcomes and reduces the cost and environmental damage. Digital agriculture, smart agriculture, or agriculture 4.0 contributes to building new agriculture from the aspects of sustainable development goals (SDGs), climate change, crop and animal production, and agricultural economics. We suggest all the nations go hand in hand to make an effort in digital agriculture success, as it is still in the infancy stage.

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Gábor Hirsch graduated at Bánki Donát Technical Collage as information technology engineer and teacher. In the last 20 years he held on a lot of manager positions in information security and network security companies.
Among others he established and lead the Check Point distribution and IT security business unit in DNS Hungary (today is Arrow ECS) and as business development manager of Cisco Hungary he responsible on the success of the Cisco security products.
He was the first employee of Fortinet in Hungary and he built the channel, brand and the team.
Parallel his business carrier he took part in professional activities: he was member of Check Point Advisory Council, from 2008 till 2018. He was the leader of the information and IT security workgroup at IT Association of Hungary, and he was associate lecturer of King Sigismund University (today Milton Friedman University) and University of Public Service.
Before he joined to Thales as Regional Sales Manager he managed several data security and information security projects as independent advisor, worked as DPO and collaborated GDPR related projects in other advisories like PriceWaterhousCoopers.




The most important cyber security trends and their effects on our working environment, especially industrial control systems/SCADA systems and data security.

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Florin-Sebastian DUMA

associate professor

My main professional fields of interest are financial management, capital finance, public finance, business plans and entrepreneurship.


Babes-Bolyai University
Faculty of European Studies,

COURSE TITLE: Valuation of shares listed on the Stock Market

How to value shares on the stock market, Fundamental analysis, Technical analysis, Financial Statement Analysis, Financial ratios calculation and interpretation.

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Anna Łupicka, associate professor at Poznań University of Economics and Business.
Research topics: supply chain management, knowledge management in organizations, risk management in logistics, psychology in management, logistic competences. Author of several dozen local and international publications. She has participated in many international and national research projects in the field of logistics and supply chains.


Poznań University of Economics and Business, Institute of International Business and Economics, Department of International Supply Chains

COURSE TITLE: Knowledge and risk management in supply chains

The dynamic development of Industry 4.0 is a result of some processes, e.g. internationalisation, development of information technologies, automation of production processes and excessive competition. Demand for special skills will result in job shifts within Industry 4.0. The aim of the lecture is to present the role of competences and knowledge in managing a company and supply chains and how knowledge is converted in organizations. The presented research results indicate the need to develop managerial, social and technical competences.

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sylwia.konecka[at]ue.poznan.pl / sylwia.konecka[at]wsl.com.pl
Currently she is working as an assistant professor at the Department of International Supply Chains at the Poznań University of Economics and Business (PUEB). For over 10 years she has been teaching classes in the field of logistics, logistics management, supply chain management, risk in logistics systems, organization and operation of transport, economics of transport. A member of the Polish Logistics Association and the POLRISK Risk Management Association. Member of the Scientific Committee of the National Polish Logistics Olympiad. Contractor of several research projects, participant of many Polish and international conferences or workshops in the field of logistics and supply chain management. Author of over 50 articles in magazines and chapters in monographs and textbooks. (See more: http://ue.poznan.pl/en/university,c13/faculties,c18/faculty-of-management,c20/katedra-logistyki-i-transportu,c3001/staff,c3002/dr-sylwia-konecka,a70347.html)


Poznań University of Economics and Business, Institute of International Business and Economics, Department of International Supply Chains

COURSE TITLE: Knowledge and risk management in supply chains (workshop)

The workshop is about the analysis of transport and warehouse processes disruptions risk including the following fields: Identification of potential disruptions of supply chains (work in groups); Assessment of impact and probability of identified potential disruptions – pre-pare risk matrix (work in groups); Analysis of impact and probability of really identified disruptions in the survey conducted in Polish enterprises (familiarizing students with the results of my own research in this field); Risk options – discussion. Learning methods: Lecture with multimedia presentation, including short educational video materials, solving tasks, discussion.

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Kreshnik BELLO

Associate Professor
Department of Management and Marketing
Faculty of Economy, Business and Enterprise
European University of Tirana

COURSE TITLE: Collecting Information and Forecasting Demand

Firms are adjusting the way they do business for more reasons than just the economy. Virtually every industry has been touched by dramatic shifts in the technological, demographic, social-cultural, natural, and political-legal environments. To provide context, insight, and inspiration for marketing decision making, companies must possess comprehensive, up-to-date information about macro trends, as well as about micro effects particular to their business. In this lecture, we consider how firms can develop processes to identify and track important macroenvironmental trends. We also outline how marketers can develop good sales forecasts.

COURSE TITLE: Conducting Marketing Research

Good marketers need insights to help them interpret past performance as well as plan future activities. To make the best possible tactical decisions in the short run and strategic decisions in the long run, they need timely, accurate, and actionable information about consumers, competition, and their brands. Discovering a consumer insight and understanding its marketing implications can often lead to a successful product launch or spur the growth of a brand. In this lecture, we review the steps in the marketing research process. We also consider how marketers can develop effective metrics for measuring marketing productivity.

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Senior Lecturer, Doctor of Science (Econ.), M.Sc. (Tech.)


Faculty of Business and Hospitality Management
LAB University of Applied Science
Saimaa University of Applied Sciences, Lappeenranta, Finland

COURSE TITLE: Business Simulation

Business Simulation intensive course (group total between 10-30 students).
The Business Simulation model is cloud based and the system is used by Web browser via: https://www.lab.fi/en

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