The fourth industrial revolution is the extension of the third digitization revolution in terms of integrating computers and software to transform manufacturing to become green, customizable, on demand, and as a service. In the work done below, we elaborate on the information and communication technology architecture enabling this revolutionary transformation. We show the way to move forward with technology from as low level as sensors and all the way up till we reach services and customization. All this work is done under the roof of a learning factory establishment, which yields the way for not only knowledge transfer and hands-on experience, but also research and development in collaboration with market-leading software, hardware, communication, and manufacturing companies. / Thesis / Master of Applied Science (MASc)

As two emerging terms in industry field, “Industry 4.0” and “Cyber-Physical System” have attracted an increasing amount of attention from both researchers and manufactures. Available advanced technologies brought by these terms, offers possible solutions and improvements for future maintenance. The purpose of the thesis is to identify how Industry 4.0 integrates with Cyber-Physical Systems regarding maintenance management and the requirements for companies to reach the ideal smart factory. Two researcher questions were studied to fulfill the purpose. Firstly, identifying the integration between Industry 4.0 and CPS regarding maintenance functions. Secondly, to investigate how such integration contribute to maintenance management in an ideal future factory.

This diploma thesis "MES / MOM Systems in the Industry 4.0 concept" deals with the analysis, design and implementation of these systems. The first focus is on Industry 4.0 analysis, where are describe each part of Industry 4.0. Based on this knowledge, there were specified the changes in the MES / MOM systems. According to the changes and knowledge were designed and implemented the MES / MOM concept. The system communicates with the PLC using its own communicator and represents the data in the application environment. The application implements the Historian module and system modules. The PLC has an MS SQL protocol implemented so that the device can read and write data without the need to communicate with the parent system. This implementation is in line with Industry 4.0’s concept.

Digitalization is finding it’s way into production and machine-building. Autonomous, sefoptimizing and highly interconnected units will determine the functionality of machines and production facilities. Communication and automation layout will fundamentally change, data will be more and more the base for new business modells. Innovation is determining pneumatics and handling technology. The innovation topics performance improvement, modular and mechatronic design of systems, sustainability and efficiency are keeping pneumatics and vacuum technology on the pathway of success. But is the technology field also prepared for the tremendous challenges caused by the digitalization? This paper is focusing on the significance of digitalization for fluid technology, especially for pneumatics and vacuum technology. The new concepts of digitalization and autonomization are based on the Internet of Things with open Communication of cyber-physical systems. These cyber-physical systems are able to react autonoumously. Cyber-physical systems can collect, interpret and analys data and transfer it into valuable information. Based on these data, cyberphysical systems will provide services to all participants of the smart factory. There will be a digital image inside the factory cloud, which is the base of new business models. Systems of pneumatics, vacuum technology and hydraulics will play a core role in this world. They are placed directly at the interface to the real technical process, they have direct contact with the workpieces, they are collecting multitude of sensor data and are evaulating it, they have functionality like Condition Monitoring and Energy Efficiency optimization on board and are able to communicate with the world of automation. This paper will show, that the innovation trends of the last years are supporting the way towards digitalization and Industrial Internet of Things. There are already a lot of different approaches to establish vacuum and pneumatic systems as adequate elements of the digitalized world. It will also be shown, that fluid technology still is facing tremendous challenges It will be not sufficient to equip the systems with more functionality and better communication. It will be essential, that from the interpretation and correlation of data will be derived valuable services with real customer benefit. This should happen under control of the vendors of smart field devices in fluid technology. Then it will be possible to turn this new kind of value generation also into new business models.

This diploma thesis focuses on industry clusters and their relation to industry 4.0. The aim is to propose improvements of a selected cluster with prerequisites for transition to industry 4.0. For this purpose, a cluster maturity model will be developed in order to determine the current level of cluster readiness for industry 4.0 in predefined dimensions. This model will be based on an analysis of current maturity models and specific features and clusters´s restrictions. An analysis of the OMNIPACK cluster and the subsequent application of the maturity model to this cluster will be also part of the work. The benefit of this diploma thesis will be wider application of the defined maturity model in Czech cluster organizations.

The main focus of this Masters Thesis is the implementation of Lean management in the company Alfa Plastik. The second objective of this Thesis is to recommended procedures of facilitate the transition to a fully automated production in the level of Industry-4.0. Achieving these objectives should bring funding, by utilizing lean production. Funds saved by lean production should be used in trasformation of factory. Methods of Lean management were used to achieve higher production efficiency.

Big data in industry 4.0 is a major subject for the currently developed research but also for the organizations that are motivated to invest in these kinds of projects. The big data are known as the large quantity of data collected from various resources that potentially could be analyzed and provide valuable insights and patterns. In industry 4.0 the production of data is massive, and thus, provides the basis for analysis and important information extraction. This study aims to provide the impact of big data analytics in industry 4.0 environments by the utilization of the SWOT dimensions framework with the intention to provide both a positive and a negative perspective of the subject. Considering that these implementations are an innovative trend and limited awareness exists for the subject, it is valuable to summarize and explore the identified findings from the published literature that will be reviewed based on interviews with data scientists. The intention is to increase the knowledge of the subject and inform the organizations about their potential expectations and challenges. The effects are represented in the SWOT analysis based on findings collected from 22 selected articles which were afterwards discussed with professionals. The systematic literature review started with the creation of a plan and specifically defined steps approach based on previously existing scientific papers. The relevant literature was decided upon specified inclusion and exclusion criteria and their relevance to the research questions. Following this, the interview questionnaire was build based on the findings in order to gather empirical data on the subject. The results revealed that the insights developed through big data support the management towards effective decision-making since it reduces the ambiguity of the actions. Meanwhile, the optimization of production, expenditure decrement, and customer satisfaction are the following as top categories mentioned in the selected articles for the strength dimension. In the opportunities, the interoperability of the equipment, the real-time information acquirement and exchange, and self-awareness of the systems are reflected in the majority of the papers. On the contrary, the threats and weaknesses are referred to fewer studies. The infrastructure limitations, security, and privacy issues are demonstrated substantially. The organizational changes and human resources matters are also expressed but infrequently. The data scientists agreed with the findings and mentioned that decision-making, process effectiveness and customer relationships are their major expectations and objectives while the experience and knowledge limitations of the personnel is their main concern. In general, the gaps in the existing literature could be identified in the challenges that occur for the big data projects in industry 4.0. Consequently, further research is recommended in the field in order to raise the awareness in the interested parties and ensure the project’s success.

This diploma thesis deals with the possibilities of using the geographic information systems in construction practice with a focus on facility management of buildings. The goal is to show the possibilities of use and the advantages that GIS offers in the construction industry thanks to its analytical and visualization capabilities. In the theoretical part there are basic terms such as BIM, Industry 4.0, GIS and facility management described. Furthermore, the possibilities of using GIS in construction industry and facility management of buildings are addressed. In the practical part the procedure of creating a GIS database for facility management is processed, specifically on information model of BUT FAST campus premises.

In this rapidly changing product demand market, the pharmaceutical companies have adapted their production system to be more flexible and agile. In order to meet the demand, production lines need to be more efficient and effective. Even a small improvement is a great achievement as these production lines are designed to produce large volumes of medicines. To test the efficiency and effectiveness of the lines by analyzing production data would be time taking and needs the involvement of experts from different departments. When production lines are subjected to change, previous analysis done will no longer be valid and needs to be repeated again. Instead, this can be replaced with discrete even simulation analysis (DES).     DES is one of the key technology in developing a production system in this industry 4.0 era. As the production systems become more and more complicated it becomes difficult to understand and analyze the behavior of the system if there are any changes brought up in the system. Simulation is the right technology to analyze and understand the behavior of the real system when undergone small or big changes.  The purpose of this case study is to make use of DES using ExtenSim as a simulation tool at the case company in order to develop a virtual model of a production system containing five production lines to understand the behavior and analyze the production lines to identify possible improvement and evaluate the feasibility of production system to achieve the forecasted demand. Possible improvements are identified from the simulation results of the current state model and a future state simulation model is developed with the improvements. Furthermore, this future state simulation model is used to analyze the feasibility of production lines for forecasted demand. By developing the simulation model was identified that the production lines were not efficient and are underutilized as that the company assumed.

Background: Advances in new technologies like the Internet of Things, Big Data, and Cloud Computing are opening up new possibilities for manufacturing firms. The extent of these changes is expected to be far-reaching leading researchers to proclaim the fourth industrial revolution a priori. Within this development, Industry 4.0 presents the concept of how manufacturing firms want to meet these changes and benefit from newly created possibilities. However, while the technological aspects leading the introduction of Industry 4.0 have been subject to many studies, the managerial aspects on how to lead such an implementation have so far mostly been neglected. Purpose: The purpose of this paper is to investigate the managerial challenges that companies might face when implementing Industry 4.0 and to draw conclusions on how they could be met. Method: Our empirical study included a range of qualitative methods. After following a sampling strategy, semi-structured interviews were conducted with researchers, consultants, and plant managers located in Western countries. All collected data were transcribed, open coded and analysed using grounded analysis. Conclusions: While managing people to welcome and embrace new processes as well as leading projects in general has been described in the literature concerning change and project management to some extent, we broaden this knowledge by providing a new Industry 4.0 related perspective and describe possible adaptations to meet the special characteristics of the concept. Further, we elaborated on how the right mindset of top management can influence implementation efforts. On top of the managerial issues described, we added an organisational perspective to the knowledge in the field, making first attempts at describing how a structural framework supporting the implementation could look like. Finally, we investigate how current ways of working might be affected by the implementation of Industry 4.0 and how these might change.