Com a chegada da era da computação ubíqua, o número de dispositivos com poder computacional vêm crescendo de forma acelerada. A conexão desses dispositivos em uma rede de comunicação traz novas possibilidades e serve como base para o conceito chamado Internet das Coisas (Internet of Things - IoT). Uma das aplicações desse conceito é no domínio industrial e está impulsionando uma nova revolução industrial, a chamada Indústria 4.0. Esta pesquisa apresenta uma abordagem de integração de componentes de forma automatizada, no contexto da Indústria 4.0, utilizando ontologias para representar os elementos do sistema e um middleware IoT para servir de meio de integração. Essa abordagem utiliza conceitos propostos em trabalhos relacionados, com características inovadoras na criação de sistemas IoT. Dentre estas está a integração automatizada a partir de modelos semânticos, que possibilita que usuários modelem sistemas em alto nível. A partir desse modelo, as interfaces de comunicação são criadas automaticamente, trazendo uma garantia de consistência sintática nas chamadas de métodos ou funções. Além disso, a pesquisa proposta traz a possibilidade de usar esse mesmo modelo semântico para apresentar as informações ao usuário final. Como resultados deste trabalho podem ser ressaltados o desenvolvimento de uma ontologia para modelar esses elementos industriais e também o de uma extensão para um middleware IoT a fim de poder-se trabalhar com esses modelos de forma automatizada. / With the advent of the ubiquitous computing era, the number of devices with computing power is growing rapidly. The connection of these devices onto a communication network brings new possibilities and serves as the basis for the concept called the Internet of Things (IoT). One of the applications of this concept is in the industrial domain where it is driving a new industrial revolution, usually designated as “Industry 4.0”. This research study presents a automated integration approach in the context of Industry 4.0, using ontologies to represent elements of the system and an IoT middleware to provide a means for its integration. This approach uses concepts proposed in related works with innovative features regarding the creation of IoT systems. Among these features, an automated integration based on semantic models is proposed, which enables users to model their systems at a high level. From this model, communication interfaces are created automatically, bringing a guarantee of syntactic consistency in calling methods or functions. Another advantage that this work brings is the possibility of using this same semantic model to present information to the end user. As result of this work, an ontology was developed to model industrial elements, and an extension for an IoT middleware was developed to enable to work with these models.

Connecting factories to the internet and enable the possibilities for these to autonomously talk to each other is called the Industrial Internet of Things(IIoT) and is mentioned as Industry 4.0 in the terms of the industrial revolutions. The machines are collecting data through very many different sensors and need to share these values with each other and the cloud. This will make a large load to the cloud and the internet, and the latency will be large. To evaluate how the workload and the latency can be reduced and still get the same result as using the cloud, two different systems are implemented. One which uses cloud and one which using edge computing. Edge computing is when the processing of the data is decentralized to the edge of the network. This thesis aims to find out ”When is it more favorable to use an edge solution and when is it to prefer a cloud solution”. The first system is implemented with an edge platform, Crosser, the second system is implemented with a cloud platform, Azure. Both implementations are giving the same outputs but the differences is where the data is processed. The systems are measured in latency, bandwidth, and CPU usage. The result of the measurements shows that the Crosser system has less latency, using smaller bandwidth but is needing more computational power of the device which is on the edge of the network. The conclusion of the results is that it depends on the demands of the system. Is the demands that it should have low latency and not using much bandwidth Crosser is to prefer. But if a very heavy machine learning algorithm is going to be executed in the system and the latency and bandwidth size is not a problem then the Cloud Reference System is to prefer.

Background It is believed that the fourth industrial revolution (4IR) will bring about unprecedented change to the world, ultimately having such a deep impact that some argue it may change human life at its core. It is believed that many organisations will not survive the radical disruption that will ensue. On the contrary, some authors have argued that the 4IR will bring about many benefits and opportunities for organisations, as with previous revolutions, provided it is managed effectively by business leaders. Rationale for the research study There is a growing consensus that existing leadership styles and management practices may not be suitable for organisational performance for the 4IR. It has, therefore, been suggested that different theories, models or approaches to leadership will be required if organisations are to remain competitive and sustainably successful in a business context that will look very different to what leaders have been accustomed to. It is argued here that Leadership 4.0 and innovative management practices, may have merit in this context. Aim of the study This present study was an exploratory attempt to investigate the relationship between Leadership 4.0, innovative management practices and organisational performance capabilities for the 4IR. For the purposes of this study, 1) a range of leadership theories/models/approaches/styles, including Transactional Leadership, Transformational Leadership and Leadership 4.0; 2) innovative management practices, including human resource management, organising and information sharing, risk management and stakeholder management as they compare to the old and new economy; and 3) organisational performance capabilities, including human capital, digital risk management and business model value creation were investigated. Research Design, Sampling and realised sample An exploratory research design was followed, utilising a mixed method approach. A crosssectional approach was taken to data collection, with a composite questionnaire designed for the purpose of this study utilised to collect data. A realised sample of n=61 respondents, mainly 4 from local, privately owned, knowledge-intensive organisations was obtained using a convenience sampling approach. Statistical analyses Pearson correlation and hierarchical multiple regression were utilised to estimate the relationships among the abovementioned constructs. Mediation analyses utilising the PROCESS macro was employed to test whether the relationship between Leadership 4.0 and organisational performance capabilities was mediated through innovative management practices. Results Statistically significant positive relationships were found between Leadership 4.0, Innovative Management Practices and Organisational Performance Capabilities. A regression model indicated that Leadership styles statistically significantly predicted the most variance in Organisational Performance Capabilities. Results further determined that Transactional Leadership explained a unique variance in risk management and digital risk management. Lastly, the test for mediation indicated that innovative management practices partially mediated the relationship between Leadership 4.0 and organisational performance capabilities. Findings: Findings from the results supported various discussions and studies in the literature and in practice that leadership, specifically Leadership 4.0, is an important element to navigating the uncertainties and challenges presented by the 4IR. Further evidence was also found in support of contingent leadership theories. Managerial Implications The findings of the present research study holds a practical implication for organisations in that the findings support the literature suggesting that leadership is a key element in organisational performance capabilities, specifically for survival and sustainability for the 4IR. The findings further contributes to a growing body of knowledge surrounding the 4IR, leadership, innovative management practices and organisational performance fields of research.

Arbetet handlar om hur industrin i Sverige ställer sig till automatiserade smörjsystem. Genom flertalet intervjuer så har syftet varit att utvärdera mognaden av industrin inom automatiserade smörjsystem. Vidare så kommer det också utvärderas närmare vilka eventuella hinder det kan finnas för att implementera en automatisk lösning i stället för att använda sig av manuell smörjning. I arbetet så har folk från många olika branscher inom industrin medverkat och tanken är att få en bild om hur mogen den svenska industrin är överlag. Vidare så har olika branscher inom industrin jämförts för att se vilka som ligger i framkant respektive vilka man kan önska mer av. Genom att använda sig av vetenskapliga texter samt intervjuer med människor som besitter olika arbetsroller så har arbetet haft goda förutsättningar för att ge en objektiv bild om hur verkligheten ser ut. Syftet med arbetet är att se hur den svenska industrin ser ut generellt men även se om det går att upptäcka trender i att olika branscher inom industrin skiljer sig åt. Tre problemställningar har använts för att besvara syftet på ett trovärdigt sätt och därmed komma fram till en slutsats i arbetet. Metoden som har använts för arbetet är en kvalitativ metod i form av intervjuer. Den här metoden lämpar sig bäst för att få mer detaljerad information om hur det faktiskt ser ut i industrin. Vid en kvalitativ metod så har respondenterna haft möjlighet att gå in på mer detaljer i intervjuerna för att bättre kunna beskriva deras syn på hur industrin ser ut och vilka för- samt nackdelar det finns med automatiserade smörjsystem. Den här metoden har gett oss en djupare förståelse för automatiska samt manuella smörjsystem och därmed gett oss bättre förutsättningar att dra slutsatser. Resultatet i arbetet har visat att industrin generellt i Sverige har kommit långt inom automationen av smörjsystem men att det fortfarande finns förbättringspotential. Branscher skiljer sig åt i hur långt de har kommit i sin automation av smörjsystem och fordonsindustrin samt livsmedelsindustrin lyfts fram som två industrier som ligger i framkant av utvecklingen. Respondenterna som har varit en del av arbetet är starkt övertygade om att automationen av smörjsystem kommer fortsätta att utvecklas. / This thesis is about how the industry in Sweden views automated lubrication systems. Through several interviews, the purpose has been to evaluate the maturity of Sweden’s industry regarding automated lubrication systems. Furthermore, an evaluation concerning eventual obstacles for the implementation of automated solution versus a manual solution will be investigated. Additionally, different industries have been compared to see who has come along way and who to wish more from. By using scientific texts and interviewing people with different work roles, the thesis has had good conditions for giving an objective picture of what reality looks like. The purpose of the thesis is to see what Swedish industry looks like in general, but also to see if it is possible to observe trends within the different industries. Three issues have been used to answer the purpose in the best way and thus conclude in the thesis. The method that has been used for the thesis is a qualitative method in the form of interviews. This method is best suited for more detailed information on what it looks like in the industry. In a qualitative method, the respondents have had the opportunity to go into more details in the interviews to better describe their views on what the industry looks like and what the advantages and disadvantages of automated lubrication systems are. This method has given a better understanding of automatic and manual lubrication systems and thus given better conditions to draw conclusions.

This thesis focuses on the implementation of Industry 4.0 in medical technical industry (med tech). The aim of the thesis is to get a sufficient evaluation on the Industry 4.0 implementation in a German medical technology enterprise, and also to find suggestions for improving the implementation. Two main research questions are studied in this thesis: “What is the maturity level of Industry 4.0 in a German med tech enterprise with comparison to automotive enterprises?” and “How to overcome barriers and improve the Industry 4.0 level in the med tech enterprise?” The thesis uses qualitative analysis with case study as the main research method. Automotive industry is used as reference and supporting the comparative case study. A historical review and a survey with open and closed questions are used for the data collection and analysis. Compared with automotive enterprises, the med tech enterprise is limited in the aspect of smart factory/production with Industry 4.0 implementation by various special regulations, but nevertheless there is much space and potential to develop Industry 4.0 in other aspects like smart business, smart product, and smart customers, as well as some new business modes.

Detta arbete har gått ut på att jämföra olika tekniker för styrning av industriella maskiner och robotar. jämförelsen har gjorts mellan trådbunden och trådlös kommunikation där den trådbundna delen genomförts med en PLC och den trådlösa med Arduino enheter med WiFi och GSM funktionalitet. Jämförelsen har gjorts genom teoretiska jämförelser med värden tagna från bland annat litteratur och mätningar på fördröjning samt testning av funktionalitet,användarupplevelse etc. Arbetet gav ett resultat att trots många fördelar för den trådlösa tekniken kan den inte just nu uppnå den stabilitet och korta fördröjning som krävs för dagens automatiserade system utan är mer anpassad för andra implementeringar inom industrin. Dock går utvecklingen framåt och detta kan leda till en förändring av detta i framtiden.

This diploma thesis deals with the creation of a general communication interface between the smart product and process cells within test bed Barman. The aim is to create distributed production according to the Industry 4.0 concept, where each product manages it’s production itself. The first part deals with the analysis of test bed, where are discussed requirements and method of production. Then with the selection of a communication protocol that would meet Industry 4.0 and distributed control requirements. The result of the research was OPC UA communication protocol. Using this protocol, the product and the process cell will communicate with each other. I chose the appropriate implementation for the selected protocol to be used for creating communication modules of the product and the process cell. Production data will be stored in an RFID chip located in the product. Part of the work is devoted to creation this data structure, which contains the recipe as well as production state data. Creation of RFID reader is the work of another student, with whom I solved the method of data exchange between application of the reader and the communication module of the product. When creating a communication module of the process cell, I solved the design of an information model that describes the entire process cell, and the dynamic creation of nodes in the address space. I have mentioned a few examples of how I worked with a selected implementation of OPC UA and how I used it in both applications. I implemented decentralized search of another process cells in the local network. This feature was easy to implement with OPC UA, specifically with the LDS-ME service. I solved the control of production for the communication module of the product and method of communication with the process cell. And in the last part I deal with manual, which describes how to compile projects correctly, specifically on the Linux operating system, and I have described a way to test the whole solution together with the results.

Purpose – The purpose is to explore how SMEs can initiate transformation towards AI. The purpose will be fulfilled through identifying which opportunities that exist for SMEs and which challenges they are facing. Additionally, we will identify which requirements are necessary to face these challenges. Method – A qualitative approach was most suitable for this study since the purpose is to explore how SMEs can initiate transformation towards AI. It was also suitable since we have collected data through interviews. We have done a single case study where we have studied one supply chain. Finally, we have had an inductive research approach which means that we have gathered a theoretical background which has founded the base and the background for our study, but our interviews have founded the result of the study and created a conclusion based on that. Findings –The result of the study provides identified opportunities with AI for SMEs, what challenges can occur, and which requirements that are needed to face the challenges. The opportunities are identified as forecasting, maintenance and repair, self-optimization, and tracing and tracking. The identified challenges when initiating transformation towards AI are cultural difficulties, lack of external communication, lack of internal communication, limited internal processes, and lack of resources. The requirements are identified as automation, data, strategy, and capabilities. The opportunities, challenges and requirements are summarized in a framework. Theoretical and Managerial Implications – We have contributed to literature by exploring how an SME, as a mass production company, can benefit from AI by identifying opportunities, challenges, and requirements. Additionally, the framework guides SMEs to prepare for opportunities with AI and ensure that they have all of the requirements. Further, by understanding which requirements that are necessary for a transformation and which challenges that can occur, managers can reduce risk of failing projects. Limitations and Future Research –The number of studied companies together with that the study is a single case study limits the generalizability. It creates a suggestion for future research where a wider set of data can be collected. Additionally, we have identified challenges that can occur, however how companies should face these challenges in the best way is a suggestion for future research.

Introduction The paradigm shift in manufacturing that Industry 4.0 brings forth with new advanced technologies and the rapid growth of sensing and controlling technologies enable further visualization and optimization that can contribute to achievingimproved decision-making in manufacturing. A significant new capability is the ability to construct a Digital Twinthat connects the physical and virtual space. However, there are still confusion and obscurity regarding what Digital Twinis and how it can becreated and then used to create value for the company. Therefor the purpose of the thesis is to examine how manufacturing companies can utilize the implementation of Digital Twinand assess Digital Twinin a shop-floor. ➢RQ1: How can DT be beneficial to increase business value in a manufacturing company? ➢RQ2: What changes need to be done in the shop-floor to implement Digital Twin? Methodology A literature review was conducted to provide previous researchand contextwithin the area of Digital Twin. A multiple-case studywas performed at three case companies to gain meaningful insight from a real-world perspective, semi-structured interviews, dialogs, and observations were conductedat the case companies. The analysis was then performed by examining similarities, and dissimilarities between theoretical and empirical data, as well as opportunities in theoretical findings that correspond with challenges in empirical findings. Frame of Reference The literature review increased the authors’ understanding of the research topic and gave context to the concept of Digital Twin. The review is mainly focused on the Digital Twintechnologyand how it is constructed, as well as the applicationsareas. Empirical Findings The empirical findings provide an overview of boththe current and future state of the case companies in relation to organizational, operational, and technological factors. Additionally, it provides a deeper understanding of how shop-floor management is designed at one of the case companies. Analysis The combination of the Frame of Reference and Empirical Findings contributewith important insight on the potential benefits that can be created through the utilizationof Digital Twin, as well as what is requiredin the shop-floor to enable implementation ofDigital Twin. Conclusions The value that can be created utilizing Digital Twinis outlinedand a clearer definition is proposed to avoid misunderstandings and confusion. Requirements that need to be achieved for a successful implementation arecovered as well. A future recommendation is measuring resources and effort in relation to the created value of a Digital Twin.

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.