Thesis (Ph. D.)--University of Hong Kong, 2002. / Includes bibliographical references (leaves 168-180).

O termo Indústria 4.0 tornou-se, nos últimos anos, frequente nas discussões relativas à indústria. Sua origem é o programa alemão Industrie 4.0, que buscou fortalecer a competitividade do parque industrial do país aplicando novas tecnologias da informação e comunicação, à manufatura. Iniciativas semelhantes também foram criadas em outros países, como a americana Industrial Internet ofThings. No Brasil, o Banco Nacional de Desenvolvimento Econômico e Social (BNDES) e a Empresa Brasileira de Pesquisa e Inovação Industrial (EMBRAPII) conduzem programas de incentivo à pesquisa, sob o nome de Manufatura Avançada. Conceitos como cadeias de suprimentos integradas e Cyber-PhysicalProduction Systems (CPPS), aliados a aplicações de tecnologias como Internet ofThings e inteligência artificial, são comuns a todas essas iniciativas, com expectativas de grandes ganhos em flexibilidade da produção, em qualidade e em eficiência. A relação entre adoção tecnológica e impactos em negócio, porém, é apontada como indireta e complexa, pelos pesquisadores de gestão de sistemas de informação e gestão de operações. A literatura da gestão de operações aponta que, para o esperado impacto em desempenho, as tecnologias adotadas devem estar alinhadas com as prioridades competitivas e com o modelo de produção da companhia. Dessa forma, não são viáveis recomendações genéricas de adoção de sistemas que não levem em conta o segmento de atuação e o mercado atendido pela empresa. Outro fator importante é a aplicação de tecnologias que tenham surgido fora do ambiente industrial e não sejam familiares às equipes de tecnologia desse ambiente. Artefatos tecnológicos, quanto utilizados em diferentes contextos, apresentam capacidades diferentes. Da sociologia da tecnologia, o termo affordance determina a possibilidade de ação de um agente quando em contato com um determinado objeto. Uma ferramenta tecnológica pode permitir a seu usuário uma gama de diferentes ações, dependentes de seus objetivos e conhecimentos. Uma régua de cálculo, por exemplo, permite a realização de uma série de operações matemáticas a um utilizador que conheça seus mecanismos, mas tem pouca utilidade a usuários sem conhecimentos prévios sobre seu funcionamento. No contexto da manufatura avançada, a percepção dos affordances das novas tecnologias, para modelar suas aplicações, exigirá novos conhecimentos, hoje detidos por diferentes equipes da companhia. Com base nas teorias de affordances e de estratégia de operações este trabalho utilizou um framework como ponto inicial para a realização de estudos de caso, em cinco projetos, em três empresas brasileiras de grande porte. Para que o impacto de diferentes estratégias de manufatura nas tecnologias adotadas pudesse ser estudado, foram selecionadas empresas de segmentos distintos, representativos do parque brasileiro: açúcar e álcool, montagem de eletrônicos e bebidas. A disponibilidade de amplo conhecimento tecnológico se mostrou uma preocupação central dos gestores que buscam a implantação de projetos de Manufatura Avançada; sua ausência é muitas vezes vista como uma barreira para a adoção de recursos como sistemas com inteligência artificial. Nos casos estudados, alguns dos projetos só foram viabilizados com a formação de equipes muldisciplinares, capazes de lidar com combinações inovadoras de tecnologias de sistemas de informação e automação industrial ou agrícola. Esse resultado é condizente com a teoria de affordances que posiciona o conhecimento do usuário como central para a percepção das oportunidades de adoção de novas tecnologias. deaffordances. Empresas com diferentes prioridades estratégicas decidiram pela adoção de sistemas com diferentes características, demostrando que a Manufatura Avançada não pode ser vista como um conjunto único e rígido de abordagens. Projetos em atividades com maior pressão por redução de custos apresentaram grande ênfase na integração vertical, ao passo que a procura por maior flexibilidade leva à busca de recursos para integração horizontal. Novas tecnologias se mostraram capazes, ou demonstraram possuir affordances, não só para habilitar novas funcionalidades, mas para proporcionar recursos a custos expressivamente menores que suas predecessoras. Foram observados exemplos onde tecnologias de menor custo permitiram a expansão de projetos implantados parcialmente no passado ou, ainda, a implantação de projetos em áreas com características que os tornavam anteriormente financeiramente inviáveis. Em razão desses resultados, o framework proposto sofreu revisão passando a incluir a adoção de novas tecnologias por questões relacionadas a custo e à formação de equipes muldisciplinares. Esse novo framework é apresentado como a contribuição final deste trabalho, que se espera possa servir der base para futuras investigações sobre o tema. / Industry 4.0 has become a very common term in recent discussions about the industry. It was originated in the Industrie 4.0 German program, which aims to strengthen their national industrial park competitiveness using new information and communication technologies to the manufacturing. Similar initiatives were created in different countries, such as the American Industrial Internet of Things. The Banco Nacional de Desenvolvimento Econômico e Social (BNDES) andtheEmpresa Brasileira de Pesquisa e Inovação Industrial (EMBRAPII) are conducting in Braziltechnologyresearch incentive program, withthenameManufatura Avançada (Smart Manufacturing). In all these initiatives, concepts like integrated supply chains and Cyber-Physical Production Systems (CPPS), can be found with the same expectations of great improvements in productions flexibility, quality, and efficiency. The information systems management and operations management researchers say that the relationship between technology adoption and business impacts indirect and complex. The operations management literature shows that the adopted technologies have to be aligned with the competitive priorities and the company production model to generate the expected impact. Thereby generic system adoption recommendations are not possible, only taking account the company segment and its attended market. The application of technologies that have emerged outside the industrial environment and are not familiar with the technology teams of that environment is another important factor. If the utilization context of the technological artifact changes, their capabilities became different. The term affordance, in the technology sociology, is an agent action possibility when in when in contact with a given object. A technological tool can allow its users a range of different actions, depending on their goals and knowledge. A slide rule, for example, allows a series of mathematical operations to be performed by a user who knows their mechanisms, but has little use for users without prior knowledge of their operation. In the ManufaturaAvançada context, the technologies affordance perception, that shapes their applications, will require new knowledge, present in different departments today. Based on the affordance and operations strategy theories, this work applies a framework as a starting point for case studies conduction in five projects in three large Brazilian companies. In order to study the impact of different manufacturing strategies on technology adoption, were selected companies from different market segments that represent well the Brazilian industry: sugar and ethanol, electronics assembly, and beverages. The availability of extensive technological knowledge has been proven to be a central concern of managers seeking the implementation of Advanced Manufacturing projects. Its absence is often seen as a barrier to the adoption of features such as artificial intelligence systems. In the studied cases, some of the projects were only made possible by the formation of multidisciplinary teams capable of dealing with innovative combinations of information systems technologies and industrial or agricultural automation. This result is consistent with the theory of affordances where the user knowledge is central to the perception of the opportunities of adoption of new technologies. Companies with different strategic priorities decided to adopt systems with different characteristics, demonstrating that ManufaturaAvançadacan not be seen as a single and rigid set of approaches. Projects, in high pressure for cost reduction activities, have a great emphasis on vertical integration, while searching for greater flexibility leads to horizontal integration. New technologies have proved capable, or demonstrated to have affordances, not only to enable new features, but to provide features at significantly lower costs than their predecessors. Examples were observed where lower cost technologies allowed the expansion of partially implemented projects or the implementation of projects in areas with characteristics that made them previously financially infeasible Due to these results, the proposed framework underwent revision, including the adoption of new technologies due to costs and the formation of multidisciplinary teams. This new framework is presented as the final contribution of this work, which is expected to serve as the basis for future research on the subject.

O termo Indústria 4.0 tornou-se, nos últimos anos, frequente nas discussões relativas à indústria. Sua origem é o programa alemão Industrie 4.0, que buscou fortalecer a competitividade do parque industrial do país aplicando novas tecnologias da informação e comunicação, à manufatura. Iniciativas semelhantes também foram criadas em outros países, como a americana Industrial Internet ofThings. No Brasil, o Banco Nacional de Desenvolvimento Econômico e Social (BNDES) e a Empresa Brasileira de Pesquisa e Inovação Industrial (EMBRAPII) conduzem programas de incentivo à pesquisa, sob o nome de Manufatura Avançada. Conceitos como cadeias de suprimentos integradas e Cyber-PhysicalProduction Systems (CPPS), aliados a aplicações de tecnologias como Internet ofThings e inteligência artificial, são comuns a todas essas iniciativas, com expectativas de grandes ganhos em flexibilidade da produção, em qualidade e em eficiência. A relação entre adoção tecnológica e impactos em negócio, porém, é apontada como indireta e complexa, pelos pesquisadores de gestão de sistemas de informação e gestão de operações. A literatura da gestão de operações aponta que, para o esperado impacto em desempenho, as tecnologias adotadas devem estar alinhadas com as prioridades competitivas e com o modelo de produção da companhia. Dessa forma, não são viáveis recomendações genéricas de adoção de sistemas que não levem em conta o segmento de atuação e o mercado atendido pela empresa. Outro fator importante é a aplicação de tecnologias que tenham surgido fora do ambiente industrial e não sejam familiares às equipes de tecnologia desse ambiente. Artefatos tecnológicos, quanto utilizados em diferentes contextos, apresentam capacidades diferentes. Da sociologia da tecnologia, o termo affordance determina a possibilidade de ação de um agente quando em contato com um determinado objeto. Uma ferramenta tecnológica pode permitir a seu usuário uma gama de diferentes ações, dependentes de seus objetivos e conhecimentos. Uma régua de cálculo, por exemplo, permite a realização de uma série de operações matemáticas a um utilizador que conheça seus mecanismos, mas tem pouca utilidade a usuários sem conhecimentos prévios sobre seu funcionamento. No contexto da manufatura avançada, a percepção dos affordances das novas tecnologias, para modelar suas aplicações, exigirá novos conhecimentos, hoje detidos por diferentes equipes da companhia. Com base nas teorias de affordances e de estratégia de operações este trabalho utilizou um framework como ponto inicial para a realização de estudos de caso, em cinco projetos, em três empresas brasileiras de grande porte. Para que o impacto de diferentes estratégias de manufatura nas tecnologias adotadas pudesse ser estudado, foram selecionadas empresas de segmentos distintos, representativos do parque brasileiro: açúcar e álcool, montagem de eletrônicos e bebidas. A disponibilidade de amplo conhecimento tecnológico se mostrou uma preocupação central dos gestores que buscam a implantação de projetos de Manufatura Avançada; sua ausência é muitas vezes vista como uma barreira para a adoção de recursos como sistemas com inteligência artificial. Nos casos estudados, alguns dos projetos só foram viabilizados com a formação de equipes muldisciplinares, capazes de lidar com combinações inovadoras de tecnologias de sistemas de informação e automação industrial ou agrícola. Esse resultado é condizente com a teoria de affordances que posiciona o conhecimento do usuário como central para a percepção das oportunidades de adoção de novas tecnologias. deaffordances. Empresas com diferentes prioridades estratégicas decidiram pela adoção de sistemas com diferentes características, demostrando que a Manufatura Avançada não pode ser vista como um conjunto único e rígido de abordagens. Projetos em atividades com maior pressão por redução de custos apresentaram grande ênfase na integração vertical, ao passo que a procura por maior flexibilidade leva à busca de recursos para integração horizontal. Novas tecnologias se mostraram capazes, ou demonstraram possuir affordances, não só para habilitar novas funcionalidades, mas para proporcionar recursos a custos expressivamente menores que suas predecessoras. Foram observados exemplos onde tecnologias de menor custo permitiram a expansão de projetos implantados parcialmente no passado ou, ainda, a implantação de projetos em áreas com características que os tornavam anteriormente financeiramente inviáveis. Em razão desses resultados, o framework proposto sofreu revisão passando a incluir a adoção de novas tecnologias por questões relacionadas a custo e à formação de equipes muldisciplinares. Esse novo framework é apresentado como a contribuição final deste trabalho, que se espera possa servir der base para futuras investigações sobre o tema. / Industry 4.0 has become a very common term in recent discussions about the industry. It was originated in the Industrie 4.0 German program, which aims to strengthen their national industrial park competitiveness using new information and communication technologies to the manufacturing. Similar initiatives were created in different countries, such as the American Industrial Internet of Things. The Banco Nacional de Desenvolvimento Econômico e Social (BNDES) andtheEmpresa Brasileira de Pesquisa e Inovação Industrial (EMBRAPII) are conducting in Braziltechnologyresearch incentive program, withthenameManufatura Avançada (Smart Manufacturing). In all these initiatives, concepts like integrated supply chains and Cyber-Physical Production Systems (CPPS), can be found with the same expectations of great improvements in productions flexibility, quality, and efficiency. The information systems management and operations management researchers say that the relationship between technology adoption and business impacts indirect and complex. The operations management literature shows that the adopted technologies have to be aligned with the competitive priorities and the company production model to generate the expected impact. Thereby generic system adoption recommendations are not possible, only taking account the company segment and its attended market. The application of technologies that have emerged outside the industrial environment and are not familiar with the technology teams of that environment is another important factor. If the utilization context of the technological artifact changes, their capabilities became different. The term affordance, in the technology sociology, is an agent action possibility when in when in contact with a given object. A technological tool can allow its users a range of different actions, depending on their goals and knowledge. A slide rule, for example, allows a series of mathematical operations to be performed by a user who knows their mechanisms, but has little use for users without prior knowledge of their operation. In the ManufaturaAvançada context, the technologies affordance perception, that shapes their applications, will require new knowledge, present in different departments today. Based on the affordance and operations strategy theories, this work applies a framework as a starting point for case studies conduction in five projects in three large Brazilian companies. In order to study the impact of different manufacturing strategies on technology adoption, were selected companies from different market segments that represent well the Brazilian industry: sugar and ethanol, electronics assembly, and beverages. The availability of extensive technological knowledge has been proven to be a central concern of managers seeking the implementation of Advanced Manufacturing projects. Its absence is often seen as a barrier to the adoption of features such as artificial intelligence systems. In the studied cases, some of the projects were only made possible by the formation of multidisciplinary teams capable of dealing with innovative combinations of information systems technologies and industrial or agricultural automation. This result is consistent with the theory of affordances where the user knowledge is central to the perception of the opportunities of adoption of new technologies. Companies with different strategic priorities decided to adopt systems with different characteristics, demonstrating that ManufaturaAvançadacan not be seen as a single and rigid set of approaches. Projects, in high pressure for cost reduction activities, have a great emphasis on vertical integration, while searching for greater flexibility leads to horizontal integration. New technologies have proved capable, or demonstrated to have affordances, not only to enable new features, but to provide features at significantly lower costs than their predecessors. Examples were observed where lower cost technologies allowed the expansion of partially implemented projects or the implementation of projects in areas with characteristics that made them previously financially infeasible Due to these results, the proposed framework underwent revision, including the adoption of new technologies due to costs and the formation of multidisciplinary teams. This new framework is presented as the final contribution of this work, which is expected to serve as the basis for future research on the subject.

I dagens läge är industriella nätverk inte anpassade för att koppla upp resursbegränsade enheter pga av att industriella nätverks-protokollen som används är mer anpassade för real time applikationer. Det skulle vara ett stort steg för de industriella nätverken att kunna koppla upp resursbegränsade enheter för enkel övervakning samt analysering av data. Efter en undersökningsperiod av ett flertal olika IoT-protokoll, gjordes valet att implementera CoAP på en Anybus CompactCom-modul för testning. Under projektets gång användes det en del white-box testning i början vid implementationen av libCoAP. Efter att en fungerande implementation var gjord, påbörjades testning av input och output överensstämmelser med hjälp av black-box testning istället. Resultatet jämfördes i slutändan med den existerande lösningen att skicka parameterdata med hjälp av TCP. Resultatet hade en responstidsskillnad som var 92,3 % snabbare. Samtidigt tog det sammanlagt 24,2 % mindre plats i minnet (FLASH och RAM) för implementationen på Anybus CompactCom-modulen.

Security is a key challenge for any IIoT network and more so for constrained IWSN deployments. Novel methods are thus required to enhance security, taking into consideration the lossy and low power nature of the IWSN. The use of ICMP packets is proposed as a method to generate fingerprinting information for IWSN devices. The ICMP based method uses the round-trip time information in the ICMP header as a fingerprinting metric. The results showed that the effect of the physical layer can be averaged out of the measurement if enough samples are available. A linear relationship was found between hop count and round-trip time for a static network which can be used in the design phase of the IWSN network or alternatively as a method to fingerprint routing anomalies in real-time. The ICMP method was able to differentiate between devices from different vendors, but unable to fingerprint devices from the same vendor due to physical layer interference. The work shows that fingerprinting in an IWSN using the ICMP method is possible if the timing delta under investigation is an order of magnitude larger than the timing variation introduced by the physical layer while maintaining a reasonable signal-to-noise ratio. / Dissertation (MEng (Computer Engineering))--University of Pretoria, 2021. / Electrical, Electronic and Computer Engineering / MEng (Computer Engineering) / Unrestricted

The Industrial Internet of Things (IIoT) plays a critical role in modern industrial systems, contributing to increased efficiency, productivity, and innovation. However,its rapid evolution and the complexity of devices pose significant challenges to digital forensics readiness (DFR). This thesis aims to provide a set of guidelines forimplementing DFR within IIoT environments, addressing challenges such as datacollection and logging, device and data identification, verification, security, analysis,and reporting. The framework was developed through rigorous research processesand guided by expert interviews and a final survey, adhering to design science principles. Although the study’s outcomes are subject to some limitations, such as a smallnumber of experts for evaluation, the research contributes to a significant gap in theexisting literature by providing a robust, adaptable, and comprehensive guide to DFRin IIoT. Offering a foundation for future research to build upon, enhance DFR, andaddressing emerging IIoT technologies and scenarios.

The deployment of Industrial Internet offers abundant passive data from manufacturing systems and networks, which enables data-driven modeling with high-data-demand, advanced statistical models such as Deep Neural Networks (DNNs). Deep Neural Networks (DNNs) have proven to be remarkably effective in supervised learning in critical manufacturing applications, such as AI-enabled automatic inspection, quality modeling, etc. However, there is a lack of performance guarantee of DNN models primarily due to data class imbalance, shifting distribution, multi-modality variables (e.g., time series and images) in training and testing datasets collected in manufacturing. Moreover, implementing these models on the manufacturing shop floor is difficult due to limitations in human-machine interaction. Inspired by active data generation through Design of Experiments (DoE) and passive observational data collection for manufacturing data analytics, we propose a SynthetIc Data gEneration and Sampling (SIDES) framework with a Graphical User Interface named SIDESync. This framework is designed to streamline SIDES execution within manufacturing environments, to provide adequate DNN model performance through the improvement of training data preparation and enhancing human-machine interaction. In the SIDES framework, a bi-level Hierarchical Contextual Bandits is proposed to provide a scientific way to integrate DoE and observational data sampling, which optimizes DNNs' online learning performance. Multimodality-aligned variational Autoencoder transforms the multimodal predictors from manufacturing into a shared low-dimensional latent space for controlled data generation from DoE and effective sampling from observational data. The SIDESync Graphical User Interface (GUI), developed using the Streamlit library in Python, simplifies the configuration, monitoring, and analysis of SIDES experiments. This streamlined approach facilitates access to the SIDES framework and enhances human-machine interaction capabilities. The merits of SIDES are evaluated by a real case study of printed electronics with a binary multimodal data classification problem. Results show the advantages of the cost-effective integration of DoE in improving the DNNs' online learning performance. / Master of Science / The Industrial Internet's growth has brought in a massive amount of data from manufacturing systems leading to advanced data analysis methods using techniques like Deep Neural Networks (DNNs). These powerful models have shown great promise in critical manufacturing tasks, such as AI-driven quality control. However, challenges remain in ensuring these models perform well. For example, the lack of good data results in models with poor performance. Furthermore, deploying these models on the manufacturing shop floor poses challenges due to limited human-machine interaction capabilities. To tackle these challenges, we introduce the SynthetIc Data gEneration and Sampling (SIDES) framework with a user-friendly interface called SIDESync to enhance the human-machine interaction. This framework will improve how training data is prepared, ultimately boosting the performance of DNN models. Within this framework, we proposed a method called bi-level Hierarchical Contextual Bandits that combines real-world data sampling with a technique called Design of Experiments (DoE) to help Deep Neural Networks (DNNs) learn more effectively as they operate. We also used a tool called a Multimodality-Aligned Variational Autoencoder, which helps convert various types of manufacturing data (like sensor readings and images) into a standard format. This conversion makes it easier to generate new data from experiments and efficiently use real-world data samples. The SIDESync Graphical User Interface (GUI) is created using Python's Streamlit library. It makes setting up, monitoring, and analyzing SIDES experiments much easier. This user-friendly system improves access to the SIDES framework and boosts interactions between humans and machines. To prove how effective SIDES is, we conducted a real case study of data collected from printed electronics manufacturing. We focused on a problem where we needed to classify the final product quality using in-situ data with DNN model prediction. Our results clearly showed that integrating DoE improved how DNNs learned online, all while keeping costs in check. This work opens up exciting possibilities for making data-driven decisions in manufacturing smarter and more efficient.

En s'appuyant sur une connaissance précise du temps, sur la réservation de ressources et l'application distribuée de règles d'admission strictes, un réseau déterministe permet de transporter des flux pré-spécifiés avec un taux de perte extrêmement bas et une latence maximale majorée, ouvrant la voie au support d'applications critiques et/ou temps-réel sur une infrastructure de réseau convergée. De nos jours, la Technologie Opérationnelle (OT) s'appuie sur des réseaux déterministes mais conçus à façon, en général propriétaires, utilisant typiquement des liens série spécifiques, et opérés en isolation les uns des autres, ce qui multiplie la complexité physique et les coûts d'achat et de déploiement (CAPEX), ainsi que d'opération et maintenance (OPEX), et empêche l'utilisation agile des ressources. En apportant le déterminisme dans les réseaux des Technologies de l'Information (IT), une nouvelle génération de réseaux commutés de l'IT va permettre l'émulation de ces liens série et la convergence de réseaux autrefois dédiés sur une infrastructure commune à base d'IP. En retour, la convergence de l'IT et de l'OT permettra de nouvelles optimisations industrielles, en introduisant des technologies héritées de l'IT, comme le BigData et la virtualisation des fonctions du réseau (NFV), en support des opérations de l'OT, améliorant les rendements tout en apportant une réduction supplémentaire des coûts. Les solutions de réseaux déterministes réclament des possibilités nouvelles de la part des équipements, possibilités qui vont bien au-delà de celles demandées pour les besoins classiques de la QoS. Les attributs-clé sont : - la synchronisation précise de tous les n'uds, en incluant souvent la source et la destination des flux- le calcul centralisé de chemins de bout en bout à l'échelle du réseau- de nouveaux filtres de mise en forme du trafic à l'intérieur comme à l'entrée du réseau afin de le protéger en tous points- des moyens matériels permettant l'accès au medium à des échéances précises. Au travers de multiples papiers, de contributions à des standards, et de publication de propriété industrielle, le travail présenté ici repousse les limites des réseaux industriels sans fils en offrant : 1. Le calcul centralisé de chemin complexes basé sur une technologie innovante appelée ARC 2. La signalisation de ces chemins complexes et la traçabilité des paquets par une extension de la technologie BIER-TE 3. Réplication, Renvoi et Elimination des doublons le long de ces chemins complexes 4. Un temps-réel basé sur un échéancier qui assure un haut taux de délivrance et garantit une latence bornée 5. La capacité de transporter à la fois des flux déterministes et du trafic IPv6 à multiplexage statistique sur un maillage 6TiSCH partagéCe manuscrit rapporte des améliorations apportées aux techniques existantes des réseaux sans fils à basse puissance (LoWPAN) comme Zigbee, WirelessHART'et ISA100.11a, afin d'amener ces nouveaux bénéfices jusqu'aux réseaux opérationnels sans fil. Elle a été implémentée en programme et sur du matériel open-source, et évaluée face à du IEEE Std. 802.15.4 classique ainsi que du 802.15.4 TSCH, utilisés en topologie maillée. L'expérience menée montre que notre nouvelle proposition permet d'éviter les à-coups et de garantir des taux élevés de délivrance, même face à des évènements exceptionnels comme la perte d'un relais ou la dégradation temporaire d'un lien radio. / Based on time, resource reservation, and policy enforcement by distributed shapers, Deterministic Networking provides the capability to carry specified unicast or multicast data streams for real-time applications with extremely low data loss rates and bounded latency, so as to support time-sensitive and mission-critical applications on a converged enterprise infrastructure.As of today, deterministic Operational Technology (OT) networks are purpose-built, mostly proprietary, typically using serial point-to-point wires, and operated as physically separate networks, which multiplies the complexity of the physical layout and the operational (OPEX) and capital (CAPEX) expenditures, while preventing the agile reuse of the compute and network resources.Bringing determinism in Information Technology (IT) networks will enable the emulation of those legacy serial wires over IT fabrics and the convergence of mission-specific OT networks onto IP. The IT/OT convergence onto Deterministic Networks will in turn enable new process optimization by introducing IT capabilities, such as the Big Data and the network functions virtualization (NFV), improving OT processes while further reducing the associated OPEX.Deterministic Networking Solutions and application use-cases require capabilities of the converged network that is beyond existing QOS mechanisms.Key attributes of Deterministic Networking are: - Time synchronization on all the nodes, often including source and destination - The centralized computation of network-wide deterministic paths - New traffic shapers within and at the edge to protect the network- Hardware for scheduled access to the media.Through multiple papers, standard contribution and Intellectual Property publication, the presented work pushes the limits of wireless industrial standards by providing: 1. Complex Track computation based on a novel ARC technology 2. Complex Track signaling and traceability, extending the IETF BIER-TE technology 3. Replication, Retry and Duplicate Elimination along the Track 4. Scheduled runtime enabling highly reliable delivery within bounded time 5. Mix of IPv6 best effort traffic and deterministic flows within a shared 6TiSCH mesh structureThis manuscript presents enhancements to existing low power wireless networks (LoWPAN) such as Zigbee, WirelessHART¿and ISA100.11a to provide those new benefits to wireless OT networks. It was implemented on open-source software and hardware, and evaluated against classical IEEE Std. 802.15.4 and 802.15.4 TSCH radio meshes. This manuscript presents and discusses the experimental results; the experiments show that the proposed technology can guarantee continuous high levels of timely delivery in the face of adverse events such as device loss and transient radio link down.

In the global and dynamic business environment of today, Industry 4.0 and the development of digital networking and real-time connection are pushing manufacturing companies to introduce new technologies into their manufacturing processes. IIoT is seen as a key element of Industry 4.0 that enable the virtualization of manufacturing processes that can ensure smooth operations across the supply chain through real-time information collection. While researchers and practitioners alike agree that there are potential advantages of implementing real-time monitoring through IIoT they also uphold that there are critical challenges for adoption. Research shows that few companies have developed the structured strategies necessary to attain a consistent competitive advantage while implementing IIoT into their manufacturing processes. A large reason contributing to this is that there is no established industry standard for how to ensure interoperability, i.e the ability of different computerized products or systems to connect and exchange information with one another. To bridge the gap between theoretical knowledge of IIoT and the practical challenges of its implementation in a manufacturing process, the purpose of the study is to present a framework of the potential challenges and enablers of implementing IIoT for real-time monitoring. To meet the purpose of this study a multiple case study was performed at Volvo Construction Equipment sites in different stages of IIoT implementation. As a result, four categories related to potential challengers and enablers of implementing IIoT for real-time monitoring were identified. These categories were: external environments, IT infrastructure, technology, and human factors. Four project phases of implementing an IIoT platform were also identified, which lays the foundation for the proposed framework. The framework provides a general understanding of how manufacturing companies can implement IIoT to achieve real-time monitoring in practice by highlighting potential challenges and enablers in each project phase. Contributing to current research, this thesis considers the holistic perspective of the research area, i.e a combination of both technical and social aspects, where the resulting framework provides guidance on how to implement IIoT for real-time monitoring. Future research may include confirmation of the framework in practice and performing a quantitative case study to achieve generalized results. / I dagens globala och dynamiska affärsmiljö driver Industri 4.0 och utvecklingen av digitala nätverk och realtidsanslutning tillverkande företag till att introducera ny teknik i sina tillverkningsprocesser. IIoT ses som ett nyckelelement i Industri 4.0 som möjliggör virtualisering av tillverkningsprocesser som kan säkerställa smidig drift över hela försörjningskedjan genom informationsinsamling i realtid. Även om både forskare och praktiker är överens om att det finns potentiella fördelar med att implementera realtidsövervakning genom IIoT, hävdar de också att det finns kritiska utmaningar för adoption. Forskning visar att få företag har utvecklat de strukturerade strategier som krävs för att uppnå en konsekvent konkurrensfördel samtidigt som de implementerar IIoT i sina tillverkningsprocesser. En stor anledning till detta är att det inte finns någon etablerad branschstandard för hur man säkerställer interoperabilitet, det vill säga förmågan hos olika datoriserade produkter eller system att koppla ihop och utbyta information med varandra. dess implementering i en tillverkningsprocess, är syftet med studien att presentera ett ramverk för de potentiella utmaningarna och möjliggörarna för att implementera IIoT för realtidsövervakning. För att uppfylla syftet med denna studie utfördes en multipel fallstudie på Volvo Construction Equipment-anläggningar i olika stadier av IIoT-implementering. Som ett resultat identifierades fyra kategorier relaterade till potentiella utmanare och möjliggörare för implementering av IIoT för realtidsövervakning. Dessa kategorier var: externa faktorer, IT-infrastruktur, teknik och mänskliga faktorer. Fyra projektfaser för att implementera en IIoT-plattform identifierades också, vilket lägger grunden för det föreslagna ramverket. Ramverket ger en allmän förståelse för hur tillverkningsföretag kan implementera IIoT för att uppnå realtidsövervakning i praktiken genom att lyfta fram potentiella utmaningar och möjliggörare i varje projektfas. Som ett bidrag till aktuell forskning tar denna avhandling hänsyn till forskningsområdets helhetsperspektiv, det vill säga en kombination av både tekniska och sociala aspekter, där det resulterande ramverket ger vägledning om hur man implementerar IIoT för realtidsövervakning. Framtida forskning kan innefatta bekräftelse av ramverket i praktiken och utförande av en kvantitativ fallstudie för att uppnå generaliserade resultat.

Projektet riktar sig mot ett företag som är verksamma inom förpackningsindustrin med behandling och hållbarhet av papper. Operatörerna på anläggningen arbetar med att applicera plastbeläggning på papper för att göra det mer resistent mot vätska. När pappersrullar erhåller ett mindre vanligt produktionsfel utan tydlig åtgärd, finns en felhantering som kallas för ''tveksam bedömning'' (TVB). Hanteringen av TVB:er har tidigare bestått av mycket manuell hantering, vilket är ineffektivt, tidskrävande och otydligt som i sin tur kan leda till missförstånd. För att förbättra felhanteringen har ett befintligt program, som företaget använder sedan tidigare, vidareutvecklats för att kunna rapportera TVB:er och även kunna spåra tidigare TVB:er. Syftet med projektet är att förenkla processen för hanteringen av TVB:er samt minimera och underlätta arbetet för operatörerna. Genom att automatisera hur och var information sparas, samt koppla det till ett lättanvänt användargränssnitt, förenklas proceduren och minimerar arbetet för operatörerna. / This project targets a company that are operative within treatment and durability of paper in the packaging industry. At their facility, the production consists of applying plastic coating on the paper to make it more resistant to liquids, as the final product is intended as a container for liquid, e.g. milk. When paper rolls have a less common or more difficult error, there is an error handling procedure called ''questionable assessment''. This procedure consists of much manual handling which is ineffective, time consuming and inexplicit, which can lead to misunderstanding. To improve the error handling, an existing program that the company uses, will be further developed to manage error reports and to track earlier error reports. The purpose of the project is to simplify the process and minimize the workload for the staff. By automating how and where the information is stored as well as connecting it to a user-friendly interface, it will improve the procedure and minimize the work needed by the staff.