Syfte: Studien ämnar att studera hur Internet of Things skulle kunna integreras för att minska potentiella brister i informationsflödet hos tillverkande företag. För att möjliggöra detta formulerades två forskningsfrågor:  <li data-aria-level="1" data-aria-posinset="1" data-listid="12" data-font="Georgia,Serif" data-leveltext="%1.">Hur är informationsflödet utformat hos ett tillverkande företag med högt anpassade kundprocesser?  <li data-aria-level="1" data-aria-posinset="1" data-listid="12" data-font="Georgia,Serif" data-leveltext="%1.">Vilka möjligheter ger Internet of Things för att minska potentiella brister i informationsflödet?  Metod: En förundersökning gjordes för att ge författarna en bild av studiens problemområde. Vidare genomfördes en litteraturstudie och en fallstudie. Litteraturstudien skapade studiens teoretiska ramverk och innehåller områden som Internet of Things, information, kommunikation, informationsflöde och informationssystem. Fallstudien genomfördes på ett stort tillverkande företag och bestod av dokumentstudier, observationer och en fokusgrupp. En sammankoppling av studiens teoretiska ramverk och empiri genererade studiens resultat.  Resultat: Företagets informationsflöde visade sig vara komplext och innehålla mycket manuell hantering av information. Något som visade sig ge konsekvenser för informationens pålitlighet, relevans och tidsperspektiv. Det finns därför förbättringsmöjligheter genom att integrera Internet of Things, då en digitalisering av informationsflödet skulle kunna leda till standardiserade processer samt en större och säkrare mängd delad information.  Implikationer: Teoretiskt bidrar studien genom att utvärdera hur Internet of Things kan bidra till nya sätt att arbeta med informationsflöden hos tillverkande företag. Studien visar detta genom att analysera viktiga aspekter inom ett nuvarande informationsflöde och Internet of things. Praktiskt bidrar studien med att identifiera potentiella förbättringsmöjligheter i ett företags informationsflöde genom en integration av Internet of Things.  Begränsningar: Studien är designad som en enfallsstudie vilket begränsar generaliserbarheten. Andra företag kan komma att behöva undersöka sina specifika förutsättningar för att dra nytta av studien. Generaliserbarheten ökar till viss del då Internet of Things är ett brett ämne och kan appliceras på ett stort antal områden. För att öka studiens tillförlitlighet har metodkapitlet noggrant utformats och beskrivits. / Purpose: This study aims to explore how Internet of Things could be integrated in manufacturing companies to reduce the potential inadequacy in an information flow. To achieve this, two research questions were formed:  <li data-aria-level="1" data-aria-posinset="1" data-listid="13" data-font="Georgia,Serif" data-leveltext="%1.">How is the information flow designed in a manufacturing company that produces customer-specific products?  <li data-aria-level="1" data-aria-posinset="1" data-listid="13" data-font="Georgia,Serif" data-leveltext="%1.">What possibilities does Internet of Things give information flow to reduce potential inadequac <p data-aria-level="1" data-aria-posinset="2" data-listid="13" data-font="Times New Roman" data-leveltext="%1.">Method: A pilot study was conducted to help the authors create a picture of the study's problem area. Later a literature study and a case study were conducted. The literature study was conducted to create the theoretical framework and included areas such as Internet of Things, information, communication, information flow and information systems. The case study conducted at a large manufacturing company and was consisted document studies, observations and a focus group. The results of the study are generated through a pairing of the theoretical framework and empirical study.  <p data-aria-level="1" data-aria-posinset="2" data-listid="13" data-font="Times New Roman" data-leveltext="%1.">Findings: The company's information flow was complex and contained a lot of manual management of information and communication. This turned out to create consequences for the information’s reliability, relevance, and timing. It has therefore been found that there are improvement opportunities through an integration of IOT in the information flow. A digitalization of an information flow can lead to creation of standard process and a larger and safer amount of shared information.  <p data-aria-level="1" data-aria-posinset="2" data-listid="13" data-font="Times New Roman" data-leveltext="%1.">Implications: The study contributes theoretically by evaluating how IOT can contribute to innovative ways of working with information flows at manufacturing companies; this by analysing key aspects of a current information flow and IOT. Practically, the study contributes to identifying potential improvements by integrate IOT in a corporate information flow.  Limitations: The study is of a one-case-design which limits generalisability. Therefore, other companies may need to examine their specific requirements before taking advantage of the study. The generalization increases slightly due to the broadness of the term IOT and that it can be applied in a wide range of areas. The method chapter has been carefully designed and described to increase the study's reliability.

The aim of this diploma thesis is to analyse the advantages and disadvantages of different types of description of cyberphysical systems. It also concerns a description of the selected method that meets most of the current requirements for CPS design. In the practical part, attention is paid to the elaboration of an example for the specification of a selected cyberphysical system.

As Industry 4.0 keeps approaching, the quality of data communication in industrial scenarios is increasingly important to support a high degree of automation and intelligence in factories. Wi-Fi 6E, the latest advanced wireless local-area network standard, comes with new 6 GHz unlicensed spectrum, a new access method named Orthogonal Frequency Division Multiple Access, and even more features. Accordingly, Wi-Fi 6E can be a promising candidate technology for an industrial wireless network. To fulfill industrial applications, Wi-Fi 6E is challenged with high communication requirements and a massive number of devices to support. Since the cutting-edge Wi- Fi 6E systems have not been widely deployed practically, simulations are required to evaluate the performance of Wi-Fi 6E in industrial scenarios. Based on an event-based simulator from Ericsson, we performed simulations covering not only single access point scenarios with periodic traffic, but also scenarios where multiple applications and generations of Wi-Fi systems coexist. Finally, a large-area industry scenario with frequency planning applied was evaluated. Through simulation results and analysis, we conclude that Wi-Fi 6E performs well in most of our tested scenarios. Compared to legacy Wi-Fi 5,Wi-Fi 6E performs better when subject to uplink traffic, and is more suitable for handling a massive number of devices or high packet rate traffic due to its unique multi-user accessing. However, Wi-Fi 6E can have poor performance when performing multi-user transmission with applications that have complex traffic and millisecond-level latency requirement. In some cases, Wi-Fi 6E performs worse than Wi-Fi 5 while handling multiple applications whose packet sizes vary a lot. Moreover, with the increase in factory scales, Wi-Fi 6E can have a magnificent performance drop, almost 100%, through the regulatory requirements in the new 6 GHz unlicensed band. / När Industri 4.0 fortsätter att närma sig blir datakommunikationens kvalitet i industriella scenarier allt viktigare för att stödja en hög grad av automatisering och intelligens i fabriker. Wi-Fi 6E, den senaste avancerade standarden för trådlöst lokalt nätverk, kommer med ett nytt 6 GHz olicensierat spektrum, en ny åtkomstmetod som heter Orthogonal Frequency Division Multiple Access och ännu fler funktioner. Följaktligen kan Wi-Fi 6E vara en lovande kandidatteknik för ett industriellt trådlöst nätverk. För att uppfylla industriella applikationer utmanas Wi-Fi 6E med höga kommunikationskrav och ett stort antal enheter att stödja. Eftersom de banbrytande Wi-Fi 6E systemen inte har använts i stor utsträckning praktiskt taget, krävs simuleringar för att utvärdera prestandan för Wi-Fi 6E i industriella scenarier. Baserat på en händelsebaserad simulator från Ericsson utförde vi simuleringar som inte bara omfattar enstaka åtkomstpunktsscenarier med periodisk trafik, utan också scenarier där flera applikationer och generationer av Wi-Fi-system samexisterar. Slutligen utvärderades ett storindustriscenario med tillämpad frekvensplanering. Genom simuleringsresultat och analys drar vi slutsatsen att Wi-Fi 6E fungerar bra i de flesta av våra testade scenarier. Jämfört med äldre Wi-Fi 5, fungerar Wi-Fi 6E bättre när den utsätts för upplänkstrafik och är mer lämpad för att hantera ett stort antal enheter eller hög pakettrafik på grund av dess unika åtkomst för flera användare. Wi-Fi 6E kan dock ha dålig prestanda vid överföring av fleranvändare med applikationer som har komplex trafik och krav på latens på millisekundnivå. I vissa fall fungerar Wi-Fi 6E sämre än Wi-Fi 5 när hanterar flera applikationer vars paketstorlekar varierar mycket. Med ökningen av fabriksskalor kan Wi-Fi 6E dessutom ha en fantastisk prestandaförlust, nästan 100%, genom lagkraven för det nya 6 GHz-bandet utan licens.

In the era of Industry 4.0, the Internet-of-Things (IoT) plays the driving role comparable to steam power in the first industrial revolution. IoT provides the potential to combine machine-to-machine (M2M) interaction and real time data collection within the field of manufacturing. Therefore, the adoption of IoT in industry enhances dynamic optimization, control and data-driven decision making. However, the domain suffers due to interoperability issues, with massive numbers of IoT devices connecting to the internet despite the absence of communication standards upon. Heterogeneity is pervasive in IoT ranging from the low levels (device connectivity, network connectivity, communication protocols) to high levels (services, applications, and platforms). The project investigates the current state of industrial IoT (IIoT) ecosystem, to draw a comprehensive understanding on interoperability challenges and current solutions in supporting of IoT-based smart manufacturing. Based upon a literature review, IIoT interoperability issues were classified into four levels: technical, syntactical, semantic, and organizational level interoperability. Regarding each level of interoperability, the current solutions that addressing interoperability were grouped and analyzed. Nine reference architectures were compared in the context of supporting industrial interoperability. Based on the analysis, interoperability research trends and challenges were identified. FIWARE Generic Enablers (FIWARE GEs) were identified as a possible solution in supporting interoperability for manufacturing applications. FIWARE GEs were evaluated with a scenario-based Method for Evaluating Middleware Architectures (MEMS).  Nine key scenarios were identified in order to evaluate the interoperability attribute of FIWARE GEs. A smart manufacturing use case was prototyped and a test bed adopting FIWARE Orion Context Broker as its main component was designed. The evaluation shows that FIWARE GEs meet eight out of nine key scenarios’ requirements. These results show that FIWARE GEs have the ability to enhance industrial IoT interoperability for a smart manufacturing use case. The overall performance of FIWARE GEs was also evaluated from the perspectives of CPU usage, network traffic, and request execution time. Different request loads were simulated and tested in our testbed. The results show an acceptable performance in terms with a maximum CPU usage (on a Macbook Pro (2018) with a 2.3 GHz Intel Core i5 processor) of less than 25% with a load of 1000 devices, and an average execution time of less than 5 seconds for 500 devices to publish their measurements under the prototyped implementation. / I en tid präglad av Industry 4.0, Internet-of-things (IoT) spelar drivande roll jämförbar med ångkraft i den första industriella revolutionen. IoT ger potentialen att kombinera maskin-till-maskin (M2M) -interaktion och realtidsdatainsamling inom tillverkningsområdet. Därför förbättrar antagandet av IoT i branschen dynamisk optimering, kontroll och datadriven beslutsfattande. Domänen lider dock på grund av interoperabilitetsproblem, med enorma antal IoT-enheter som ansluter till internet trots avsaknaden av kommunikationsstandarder på. Heterogenitet är genomgripande i IoT som sträcker sig från de låga nivåerna (enhetskonnektivitet, nätverksanslutning, kommunikationsprotokoll) till höga nivåer (tjänster, applikationer och plattformar). Projektet undersöker det nuvarande tillståndet för det industriella IoT (IIoT) ekosystemet, för att få en omfattande förståelse för interoperabilitetsutmaningar och aktuella lösningar för att stödja IoT-baserad smart tillverkning. Baserat på en litteraturöversikt klassificerades IIoT-interoperabilitetsfrågor i fyra nivåer: teknisk, syntaktisk, semantisk och organisatorisk nivå interoperabilitet. När det gäller varje nivå av driftskompatibilitet grupperades och analyserades de nuvarande lösningarna för adressering av interoperabilitet. Nio referensarkitekturer jämfördes i samband med att stödja industriell driftskompatibilitet. Baserat på analysen identifierades interoperabilitetstrender och utmaningar. FIWARE Generic Enablers (FIWARE GEs) identifierades som en möjlig lösning för att stödja interoperabilitet för tillverkningstillämpningar. FIWARE GEs utvärderades med en scenariebaserad metod för utvärdering av Middleware Architectures (MEMS). Nio nyckelscenarier identifierades för att utvärdera interoperabilitetsattributet för FIWARE GEs. Ett smart tillverkningsfodral tillverkades med prototyper och en testbädd som antog FIWARE Orion Context Broker som huvudkomponent designades. Utvärderingen visar att FIWARE GE uppfyller åtta av nio krav på nyckelscenarier. Dessa resultat visar att FIWARE GE har förmågan att förbättra industriell IoT-interoperabilitet för ett smart tillverkningsfodral. FIWARE GEs totala prestanda utvärderades också utifrån perspektivet för CPU-användning, nätverkstrafik och begär exekveringstid. Olika förfrågningsbelastningar simulerades och testades i vår testbädd. Resultaten visar en acceptabel prestanda i termer av en maximal CPU-användning (på en Macbook Pro (2018) med en 2,3 GHz Intel Core i5-processor) på mindre än 25% med en belastning på 1000 enheter och en genomsnittlig körningstid på mindre än 5 sekunder för 500 enheter att publicera sina mätningar under den prototyperna implementateringen.

Produktionsindustrin står just nu inför den fjärde industrirevolutionen där en ökad grad avanslutning och datastyrd produktion har möjligheten att skapa självoptimerande fabriker därmaskiner och system kommunicerar automatiskt i realtid. Införandet av ny teknik kan skapa storaförändringar men även konkurrensfördelar för organisationer, vilket även är fallet för Industri 4.0.Syftet med studien var att identifiera vilka faktorer som påverkar införandet av Industri 4.0 hostillverkande företag och hur problem inom automatiserad cellproduktion kan reduceras genom attintroducera Industri 4.0 koncept. Studien utfördes som en fallstudie hos Sandvik Coromant därinterna observationer och intervjuer utfördes. Dessutom intervjuades fem externa organisationerverksamma inom industriell digitalisering.Studien visade att det finns olika faktorer som påverkar införandet av Industri 4.0, kategoriseradei tekniska, organisatoriska och marknadsmässiga faktorer. För de tekniska faktorerna harsmåskaliga applikationer, ökad transparens genom anslutning av enheter och en ökad integrationav olika informationssystem en positiv effekt på införandet av industri 4.0. För att möjliggörainförandet i organisatoriska sammanhang måste produktionsorganisationer skaffa digitalakompetenser, integrera sin IT-organisation i sin produktion samt förändra sin kultur och inställningtill Industri 4.0. Dessutom är standardisering, skapande av digitala ekosystem och IT-säkerhet deviktigaste marknadsaspekterna som påverkar införandet av Industri 4.0.Hos Sandvik Coromant har elva problem identifierats som kan reduceras med införandet avkoncept från Industri 4.0. Studien föreslår att anslutning, visualisering och dataanalys används föratt reducera dessa problem. / The fourth industrial revolution is emerging, where connection and data driven production has thepotential to create self-optimizing factories, in which machines and systems can communicate inreal-time. However, adopting new technologies can impose big changes but also create competitiveadvantages for organisations, which is certainly the case of Industry 4.0.The purpose of the study was to identify what main factors that affects the adoption of Industry4.0 for production organisations and how problems in automated production cells could bereduced by introducing Industry 4.0 concepts. The study was performed as a case study at SandvikCoromant, where observations and interviews were conducted. In addition, five externalorganisations specialized in industrial digitalization were interviewed.The study found that there are various factors affecting the adoption of Industry 4.0 categorizedinto technological, organisational and external/environmental factors. In terms of technology,small scale applications, increased transparency through connection and an increased integrationof information systems have positive effect on the adoption of Industry 4.0. In organisationalcontext, production organisations must acquire digital competence, integrate their IT organisationinto their production and change the culture and attitude towards the adoption of Industry 4.0.Furthermore, standardization, creation of ecosystem and IT security are the mainexternal/environmental aspects which affect Industry 4.0 adoption.At Sandvik Coromant, eleven problems were identified which has the potential to be reduced by implementing concepts of Industry 4.0. The study proposes use of connectivity, visualization, dataanalysis to reduce these problems.

Purpose: The purpose of this paper is to identify the opportunities that Industry 4.0 brings within the framework of applying Cyber Physical Systems in an environment of a Smart Factory. This paper shall identify the changes within daily business processes and the impact of these changes on the daily business life. Design/Methodology/Approach: The research is carried out as a case study research. Due to a qualitative approach for this case study interviews are conducted and the results are analyzed and discussed. Findings: Industry 4.0 will change the way we are working today and influence businesses and business processes in many ways. Data handling, processes and efficiency will change and the way we perceive manufacturing will change in a long term view. Further Research: It would be recommended to expand this research by conducting more research in this particular field as well as impacts on the employee should be studied more in detail.

Electrohydraulic drives are primarily used whenever a low power/weight ratio, a compact build and/or large forces are required for individual applications. These drives are often used together with electric drive technology in machines. However, in terms of automation, unlike electric drives, electrohydraulic drives are still largely connected via analog interfaces and centralized closed control loops today. To compensate for this competitive disadvantage of hydraulic drive technology and, at the same time, significantly enhance its performance and diagnostics capability, a consistent automation solution has been developed that can be configured for both centralized and decentralized solutions. This contribution firstly gives an overview over this complete solution already available and its classification in the automation world. In a second step, the subset of decentralized drive solutions contained therein is presented in more detail and their benefits are explained on the basis of some exemplary applications.

Várias empresas em todas as partes do mundo, estão iniciando o processo de migração para a Indústria 4.0. Isso requer uma mudança no modelo de gestão, na cultura e nos direcionadores das decisões organizacionais e tecnológicas. Este trabalho retrata a relevância que o tema vem adquirindo ao longo dos últimos anos e a necessidade de um entendimento comum sobre os Pilares da Indústria 4.0, visando contribuir para, no campo teórico, melhor análise dos impactos que este novo modelo está trazendo para as organizações e, no campo da prática, para auxiliar no planejamento da implantação das mudanças necessárias. Portanto, este trabalho tem por objetivo sistematizar os Pilares da Indústria 4.0 considerando artigos acadêmicos publicados nas bases Web Of Science e Scopus. A metodologia adotada para a condução da pesquisa foi a revisão bibliográfica sistemática apoiada pelo uso da ferramenta Start e como complemento, as entrevistas com profissionais que trabalham com Indústria 4.0 para entender se a visão desses convergem para os pilares encontrados nos artigos. Um total de 1104 papers foram identificados e revisados sistematicamente. O principal resultado obtido é uma matriz na qual são apresentados os pilares e as tecnologias da Indústria 4.0 subdivididos em internos e externos às empresas / Many companies in all parts of the world are starting the process of migration to Industry 4.0 also called Factory of the future. This requires a change in the model, in the culture, and in the direction of organizational and technological decisions. This article presents the relevance of the theme over the last years and the need for a common understanding on the Pillars of Industry 4.0, aiming to contribute, in the theoretical field, to a better analysis of the impacts that this new model is bringing to the organizations and in the field of practice to assist in planning the implementation of the necessary changes. Therefore, this article aims to systematize the Pillars of Industry 4.0 considering academic articles published in the Web of Science and Scopus databases. The methodology used to conduct the research was the systematic bibliographic review supported by the use of the Start tool and, as a complement, the interviews with professionals working with Industry 4.0 to understand if the vision of these converge to the pillars found in the articles. A total of 1104 papers were systematically identified and revised. Thirteen papers were used and two interviews were carried out. The main result obtained is a matrix in which the pillars and technologies of Industry 4.0 are subdivided into internal and external to the companies.

Companies situated in the manufacturing industry are facing many challenges.  In order to stay competitive and to be able to meet customer needs the product and process quality must be ensured through efficient Quality Management (QM) activities. In this context, occurrences of deviations in production processes are often a significant problem causing an increased rate of scraps and rework actions, which have a direct impact on the production system performance. Therefore, the purpose of this thesis is to explore the concept of IQM in connection with ways to control and reduce deviations within production processes. The single case study approach has been chosen to fulfill the purpose and to answer the research questions of this study. The selected case company is a large wooden furniture manufacturer located in the south of Sweden. The company is a subsidiary of one of the biggest global groups, which is designing, producing and selling furniture and home accessories. Within this case study design, a technique triangulation of observation, document study and interview has been executed in order to gather valid research data.   The results of this thesis are, that deviations in production processes (re-)occur due to human, technological and organizational (HTO) shortcomings, where the interfaces between the three segments play major roles. Moreover, the HTO approach can be the basis for identifying the reasons for deviations, which facilitates the adoption of QM principles, practices and techniques to handle deviations in production processes. The concept of IQM could support the control and reduction of deviations in production processes, but also entails a risk of causing more deviations if it is poorly implemented. Moreover, a framework has been created, which provides an understanding on what role IQM could play in the context of deviations in production processes. It can be concluded, that a good basis for future research regarding IQM has been built. Future research needs to verify the gathered results of this thesis in different settings as well as practically implement IQM to a company´s system.

Digital transformation is rising rapidly, where absolutely any kind of data is readily available. With the rise in digital information and technologies, businesses are aiming at measuring their processes and thereby getting better control over their operations. Industries are striving to increase efficiency and productivity to survive in the high global competitive market by adopting a digital tool. Simulation has been one of the most common tools of Industry 4.0 that allows a virtual representation of the real system. The use of simulation has tremendously increased in manufacturing industries due to its advantages where changes can be made and checked virtually before implementing them to the physical system. Data acquisition has been an important aspect that remains unfocussed especially in Engineer to Order (ETO) and Make to Order (MTO) environments where the production processes are complex, nonstandardised and depend heavily on manual work leading to a prolonged barrier towards digitalisation. So, can data create new values for companies? Are firms realising the importance of data? As the economy is moving towards a more data-driven state, it is essential for companies to realise the importance of data and find efficient ways of data collection. The thesis is based on a case study at an electrical transformer manufacturing firm taking its first step towards digital technology to have better control over its manufacturing processes. However, this transformation is primarily hindered by the limited availability of data and poor data quality due to manual data acquisition methods. Analysis of organisational documents and Value Stream Mapping (VSM) have been used to analyse missing primary and secondary production data. The results of this study conclude that modelling of the system can give additional data gaps, and the simulation model can be served as a powerful decision support tool for the firm. This switch in approach from intuition-based decision making to more fact-based decision making can result in better planning and control over the production. This thesis will lay the foundation for studies related to data acquisition and simulation in an ETO environment as it is not widely discussed in the existing literature