Digitale Transformation aus unternehmensübergreifender Perspektive: Management der Koevolution von Plattformbesitzern und Komplementoren in Plattformökosystemen

Digital platforms have the potential to transform how organizations are doing business in their respective ecosystems. Motivated by this transformation, the purpose of this thesis is to increase the understanding of digital transformation from an inter-organizational perspective. Therefore, this thesis clarifies the phenomenon of digital transformation, and models and analyzes multiple digital platform ecosystems. Building upon that, this dissertation reflects on multiple case studies on how platform owners can manage the co-evolution of their complementors in digital transformations in digital platform ecosystems.Digitale Plattformen haben das Potential, die Art und Weise, wie Unternehmen in ihren jeweiligen Ökosystemen Geschäfte machen, zu verändern. Motiviert durch diese Transformation, ist das Ziel dieser Arbeit, das Verständnis von digitaler Transformation aus einer inter-organisatorischen Perspektive zu erhöhen. Daher erläutert diese Arbeit das Phänomen der digitalen Transformation, und modelliert und analysiert mehrere digitale Plattformökosysteme. Darauf aufbauend reflektiert diese Dissertation in mehreren Fallstudien darüber, wie Plattformbesitzer die Koevolution ihrer Komplementoren in digitalen Transformationen in digitalen Plattformökosystemen steuern können

A Framework for Industry 4.0

The potential of the Industry 4.0 will allow the national industry to develop all kinds of procedures, especially in terms of competitive differentiation. The prospects and motivations behind Industry 4.0 are related to the management that is essentially geared towards industrial internet, to the integrated analysis and use of data, to the digitalization of products and services, to new disruptive business models and to the cooperation within the value chain. It is through the integration of Cyber-Physical Systems (CPS), into the maintenance process that it is possible to carry out a continuous monitoring of industrial machines, as well as to apply advanced techniques for predictive and proactive maintenance. The present work is based on the MANTIS project, aiming to construct a specific platform for the proactive maintenance of industrial machines, targeting particularly the case of GreenBender ADIRA Steel Sheet. In other words, the aim is to reduce maintenance costs, increase the efficiency of the process and consequently the profit. Essentially, the MANTIS project is a multinational research project, where the CISTER Research Unit plays a key role, particularly in providing the communications infrastructure for one MANTIS Pilot. The methodology is based on a follow-up study, which is jointly carried with the client, as well as within the scope of the implementation of the ADIRA Pilot. The macro phases that are followed in the present work are: 1) detailed analysis of the business needs; 2) preparation of the architecture specification; 3) implementation/development; 4) tests and validation; 5) support; 6) stabilization; 7) corrective and evolutionary maintenance; and 8) final project analysis and corrective measures to be applied in future projects. The expected results of the development of such project are related to the integration of the industrial maintenance process, to the continuous monitoring of the machines and to the application of advanced techniques of preventive and proactive maintenance of industrial machines, particularly based on techniques and good practices of the Software Engineering area and on the integration of Cyber-Physical Systems.O potencial desenvolvido pela Indústria 4.0 dotará a indústria nacional de capacidades para desenvolver todo o tipo de procedimentos, especialmente a nível da diferenciação competitiva. As perspetivas e as motivações por detrás da Indústria 4.0 estão relacionadas com uma gestão essencialmente direcionada para a internet industrial, com uma análise integrada e utilização de dados, com a digitalização de produtos e de serviços, com novos modelos disruptivos de negócio e com uma cooperação horizontal no âmbito da cadeia de valor. É através da integração dos sistemas ciber-físicos no processo de manutenção que é possível proceder a um monitoramento contínuo das máquinas, tal como à aplicação de técnicas avançadas para a manutenção preditiva e pró-ativa das mesmas. O presente trabalho é baseado no projeto MANTIS, objetivando, portanto, a construção de uma plataforma específica para a manutenção pró-ativa das máquinas industriais, neste caso em concreto das prensas, que serão as máquinas industriais analisadas ao longo do presente trabalho. Dito de um outro modo, objetiva-se, através de uma plataforma em específico, reduzir todos os custos da sua manutenção, aumentando, portanto, os lucros industriais advindos da produção. Resumidamente, o projeto MANTIS consiste num projeto de investigação multinacional, onde a Unidade de Investigação CISTER desenvolve um papel fundamental, particularmente no fornecimento da infraestrutura de comunicação no Piloto MANTIS. A metodologia adotada é baseada num estudo de acompanhamento, realizado em conjunto com o cliente, e no âmbito da implementação do Piloto da ADIRA. As macro fases que são compreendidas por esta metodologia, e as quais serão seguidas, são: 1) análise detalhada das necessidades de negócio; 2) preparação da especificação da arquitetura; 3) implementação/desenvolvimento; 4) testes e validação; 5) suporte; 6) estabilização; 7) manutenção corretiva e evolutiva; e 8) análise final do projeto e medidas corretivas a aplicar em projetos futuros. Os resultados esperados com o desenvolvimento do projeto estão relacionados com a integração do processo de manutenção industrial, a monitorização contínua das máquinas e a aplicação de técnicas avançadas de manutenção preventiva e pós-ativa das máquinas, especialmente com base em técnicas e boas práticas da área de Engenharia de Software

A software architecture for electro-mobility services: a milestone for sustainable remote vehicle capabilities

To face the tough competition, changing markets and technologies in automotive industry, automakers have to be highly innovative. In the previous decades, innovations were electronics and IT-driven, which increased exponentially the complexity of vehicle’s internal network. Furthermore, the growing expectations and preferences of customers oblige these manufacturers to adapt their business models and to also propose mobility-based services. One other hand, there is also an increasing pressure from regulators to significantly reduce the environmental footprint in transportation and mobility, down to zero in the foreseeable future. This dissertation investigates an architecture for communication and data exchange within a complex and heterogeneous ecosystem. This communication takes place between various third-party entities on one side, and between these entities and the infrastructure on the other. The proposed solution reduces considerably the complexity of vehicle communication and within the parties involved in the ODX life cycle. In such an heterogeneous environment, a particular attention is paid to the protection of confidential and private data. Confidential data here refers to the OEM’s know-how which is enclosed in vehicle projects. The data delivered by a car during a vehicle communication session might contain private data from customers. Our solution ensures that every entity of this ecosystem has access only to data it has the right to. We designed our solution to be non-technological-coupling so that it can be implemented in any platform to benefit from the best environment suited for each task. We also proposed a data model for vehicle projects, which improves query time during a vehicle diagnostic session. The scalability and the backwards compatibility were also taken into account during the design phase of our solution. We proposed the necessary algorithms and the workflow to perform an efficient vehicle diagnostic with considerably lower latency and substantially better complexity time and space than current solutions. To prove the practicality of our design, we presented a prototypical implementation of our design. Then, we analyzed the results of a series of tests we performed on several vehicle models and projects. We also evaluated the prototype against quality attributes in software engineering

Business Intelligence Systems: Assessing the benefits of business intelligence use within an organization

The Business Intelligence (BI) systems are increasingly becoming an important piece of the puzzle for the success of organizations. That being so, it is important to acknowledge the benefits that can be obtained from the use of such systems. Furthermore, for those who hesitate in investing in BI systems this research presents how the organizations operating in different business fields are using the BI systems in practice as a part of their business operations. In order to carry out such overview, the authors of this master thesis have based their study on a previous research that proposed a limited number of benefits and their grouping into four categories based on mathematical calculations. Subsequently, the authors are doing qualitative research on the use of BI systems and the benefits that can be achieved from its use on an organizational level. Furthermore, the findings from the research are presented in the context of interpretation of how the BI systems function in organizations, as well as assessments on obtaining the proposed benefits from the use of such systems. Finally, the authors are discussing their observations and impressions regarding the empirical results obtained through means of qualitative research method

Particle Physics Reference Library

This second open access volume of the handbook series deals with detectors, large experimental facilities and data handling, both for accelerator and non-accelerator based experiments. It also covers applications in medicine and life sciences. A joint CERN-Springer initiative, the “Particle Physics Reference Library” provides revised and updated contributions based on previously published material in the well-known Landolt-Boernstein series on particle physics, accelerators and detectors (volumes 21A,B1,B2,C), which took stock of the field approximately one decade ago. Central to this new initiative is publication under full open access

Systemic Design for the innovation of home appliances The meaningfulness of data in designing sustainable systems

This work addressed the domestic environment considering this context as a complex system characterised by significant impacts in terms of resource consumption. Within the theoretical framework of Systemic Design (SD), this thesis focused on home appliances, in order to understand how to reduce the impact directly attributable to them, while optimising and simplifying daily tasks for the user. A design methodology towards environmental sustainability has been structured, by focusing on the use of data for design purposes and on creating value for the user through meaningful products. It considers the user, the product and the environment as central topics, by giving them the same relevance and the literature review is structured accordingly, investigating needs and requirements, ethical issues, but also current products and future scenarios. During my experience at TU Delft, I spent six months in the Department of Internet of Things at the Faculty of Industrial Design Engineering. Together with computer scientists, we developed a prototype to collect some missing data, establishing the importance of grounding the decision-making on reliable information. IoT and data gathering open a variety of possibilities in monitoring, accessing more precise knowledge of products and households useful for design purposes, up to understand how to fill the gap perceived by the user between needs and solutions. It considered the potential benefits of using IoT indicators to collect missing information about both the product, its use and its operating environment to address critical aspects in the design stage, thus extending products’ lifetime. This thesis highlighted the importance of building multidisciplinary design teams to investigate different classes of requirements, and the need for flexible tools to cope with complex and evolving requirements, the co-evolution of problem and solutions and investigating open-ended questions. This approach leaves room for addressing every step of the traditional life-cycle in a more circular way, shifting the focus from the life-cycle centrality of the previous century to a more complex vision about the product

Neutron Star Interiors: From Proto-Neutron Stars To Galactic Pulsars

Neutron stars are astrophysical laboratories to study extremely dense matter. The exact composition of the interior of a neutron star is yet unknown. However, recent observational and theoretical developments have provided crucial constraints on the properties of dense matter in neutron stars. In this thesis, we describe how we can use the astrophysical signals from neutron stars to measure their physical properties. We can use these measurements to determine the structure and composition of neutron star. We focus on two phases of the neutron star’s life and the astrophysical signals associated with it. First, we look at gravitational wave signals from core-collapse supernovae—the birthplace of neutron stars. We analyze the gravitational-wave signals obtained from three-dimensional simulations of core-collapse and calculate the detection prospects of these signals by the proposed next-generation detectors, such as Cosmic Explorer. We find that Cosmic Explorer can detect a supernova signal in the Milky Way galaxy. We analyze the first ∼ 10 ms of the gravitational-wave signal from core-collapse, where the signal is non-stochastic and primarily depends on the core rotation rate and its equation of state. We use data from numerical simulations of collapsing stars with rapidly rotating cores and develop a mapping between the physical parameters and the waveform morphology. We analyze the stochastic part of the signal, which is primarily generated due to the oscillations of the proto-neutron star. We develop a novel method to generate time-frequency spectrograms and we use them to measure the frequencies and energy associated with the quadrupolar f −mode oscillations of the proto-neutron star. Lastly, we determine the reproducibility of Riley et al. results, in which the authors analyze the X-ray data from NICER to measure the mass and radius of PSR J0030+0451 using X-ray pulse profile modeling. We find that using the data and software artifacts provided, we can not only reproduce their results but can extend them as well. Measuring the mass and radius of pulsar constrains its equation of state, and consequently its internal composition

Self “Sensor”Ship: An Interdisciplinary Investigation of the Persuasiveness, Social Implications, and Ethical Design of Self-Sensoring Prescriptive Applications

This dissertation research investigates the social implications of computing artifacts that make use of sensor driven self-quantification to implicitly or explicitly direct user behaviors. These technologies are referred to here as self-sensoring prescriptive applications (SSPA’s). This genre of technological application has a strong presence in healthcare as a means to monitor health, modify behavior, improve health outcomes, and reduce medical costs. However, the commercial sector is quickly adopting SSPA’s as a means to monitor and/or modify consumer behaviors as well (Swan, 2013). These wearable devices typically monitor factors such as movement, heartrate, and respiration; ostensibly to guide the users to better or more informed choices about their physical fitness (Lee & Drake, 2013; Swan, 2012b). However, applications that claim to use biosensor data to assist in mood maintenance and control are entering the market (Bolluyt, 2015), and applications to aid in decision making about consumer products are on the horizon as well (Swan, 2012b). Interestingly, there is little existing research that investigates the direct impact biosensor data have on decision making, nor on the risks, benefits, or regulation of such technologies. The research presented here is inspired by a number of separate but related gaps in existing literature about the social implications of SSPA’s. First, how SSPA’s impact individual and group decision making and attitude formation within non-medicalcare domains (e.g. will a message about what product to buy be more persuasive if it claims to have based the recommendation on your biometric information?). Second, how the design and designers of SSPA’s shape social behaviors and third, how these factors are or are not being considered in future design and public policy decisions