Enterprise Composition Architecture for Micro-Granular Digital Services and Products

The digitization of our society changes the way we live, work, learn, communicate, and collaborate. This defines the strategical context for composing resilient enterprise architectures for micro-granular digital services and products. The change from a closed-world modeling perspective to more flexible open-world composition and evolution of system architectures defines the moving context for adaptable systems, which are essential to enable the digital transformation. Enterprises are presently transforming their strategy and culture together with their processes and information systems to become more digital. The digital transformation deeply disrupts existing enterprises and economies. Since years a lot of new business opportunities appeared using the potential of the Internet and related digital technologies, like Internet of Things, services computing, cloud computing, big data with analytics, mobile systems, collaboration networks, and cyber physical systems. Digitization fosters the development of IT systems with many rather small and distributed structures, like Internet of Things or mobile systems. In this paper, we are focusing on the continuous bottom-up integration of micro-granular architectures for a huge amount of dynamically growing systems and services, like Internet of Things and Microservices, as part of a new digital enterprise architecture. To integrate micro-granular architecture models to living architectural model versions we are extending more traditional enterprise architecture reference models with state of art elements for agile architectural engineering to support the digitalization of services with related products, and their processes

Examining enterprise architecture for digital transformation

The Digital Transformation era has unlocked unique opportunities for organizations to disrupt and innovate with digital products and services by leveraging novel emerging technologies such as mobile computing, big data analytics, cloud computing, and the internet of things. Consequently, the emergence of this new digital generation has increased the awareness of disruptive innovations, posing multiple challenges to organizations that had adopted traditional Enterprise Architecture approaches, such as materializing digital business strategies with regard to federated applications. These business strategies must address the dynamic changes of the involved services and their data interfaces; and, therefore, require higher interoperability for seamless integration. This paper introduces preliminary results from conducting a systematic literature review focused on identifying the constituents of Digital Transformations reflected as new opportunities to improve conventional Enterprise Architecture practices. The findings are classified into four categories: (1) Customer Journey, Customer Experience and Value Creations Streams; (2) Architecture Agility &amp; Evolution; (3) Architecture Modularity (Interoperability); and (4) Social and Cultural Alignment of the Enterprise.</p

How Digital Transformation affects Enterprise Architecture Management – a case study

Internet of Things (IoT), machine learning, cyber-physical systems and other recent technological innovations offer new opportunities for enterprises in the context of Digital Transformation (DT) but also cause new challenges for Enterprise Architecture Management (EAM), which traditionally deals with enterprise-IT planning and coordination. Based on an industrial case of a power garden products manufacturer that is exploring potentials and facing challenges in DT, this article investigates the integration of product-IT into EAM. Product-IT includes the embedded IT-systems in physical products and services, components for operations, maintenance or evaluation purposes. In this article we discuss product-IT and enterprise-IT integration in the context of EAM observed in the industrial practice. The main contributions are (1) positioning of the product-IT in the field of EAM, and (2) identification of the challenges from real-world case regarding integration of product-IT into EAM

How Digital Transformation affects Enterprise Architecture Management – a case study

Internet of Things (IoT), machine learning, cyber-physical systems and other recent technological innovations offer new opportunities for enterprises in the context of Digital Transformation (DT) but also cause new challenges for Enterprise Architecture Management (EAM), which traditionally deals with enterprise-IT planning and coordination. Based on an industrial case of a power garden products manufacturer that is exploring potentials and facing challenges in DT, this article investigates the integration of product-IT into EAM. Product-IT includes the embedded IT-systems in physical products and services, components for operations, maintenance or evaluation purposes. In this article we discuss product-IT and enterprise-IT integration in the context of EAM observed in the industrial practice. The main contributions are (1) positioning of the product-IT in the field of EAM, and (2) identification of the challenges from real-world case regarding integration of product-IT into EAM

Methodology for Designing Decision Support Systems for Visualising and Mitigating Supply Chain Cyber Risk from IoT Technologies

This paper proposes a methodology for designing decision support systems for visualising and mitigating the Internet of Things cyber risks. Digital technologies present new cyber risk in the supply chain which are often not visible to companies participating in the supply chains. This study investigates how the Internet of Things cyber risks can be visualised and mitigated in the process of designing business and supply chain strategies. The emerging DSS methodology present new findings on how digital technologies affect business and supply chain systems. Through epistemological analysis, the article derives with a decision support system for visualising supply chain cyber risk from Internet of Things digital technologies. Such methods do not exist at present and this represents the first attempt to devise a decision support system that would enable practitioners to develop a step by step process for visualising, assessing and mitigating the emerging cyber risk from IoT technologies on shared infrastructure in legacy supply chain systems

Towards In-Transit Analytics for Industry 4.0

Industry 4.0, or Digital Manufacturing, is a vision of inter-connected services to facilitate innovation in the manufacturing sector. A fundamental requirement of innovation is the ability to be able to visualise manufacturing data, in order to discover new insight for increased competitive advantage. This article describes the enabling technologies that facilitate In-Transit Analytics, which is a necessary precursor for Industrial Internet of Things (IIoT) visualisation.Comment: 8 pages, 10th IEEE International Conference on Internet of Things (iThings-2017), Exeter, UK, 201

Special Session on Industry 4.0

No abstract available

Dynamic real-time risk analytics of uncontrollable states in complex internet of things systems, cyber risk at the edge

The Internet of Things (IoT) triggers new types of cyber risks. Therefore, the integration of new IoT devices and services requires a self-assessment of IoT cyber security posture. By security posture this article refers to the cybersecurity strength of an organisation to predict, prevent and respond to cyberthreats. At present, there is a gap in the state of the art, because there are no self-assessment methods for quantifying IoT cyber risk posture. To address this gap, an empirical analysis is performed of 12 cyber risk assessment approaches. The results and the main findings from the analysis is presented as the current and a target risk state for IoT systems, followed by conclusions and recommendations on a transformation roadmap, describing how IoT systems can achieve the target state with a new goal-oriented dependency model. By target state, we refer to the cyber security target that matches the generic security requirements of an organisation. The research paper studies and adapts four alternatives for IoT risk assessment and identifies the goal-oriented dependency modelling as a dominant approach among the risk assessment models studied. The new goal-oriented dependency model in this article enables the assessment of uncontrollable risk states in complex IoT systems and can be used for a quantitative self-assessment of IoT cyber risk posture

Digital maturity variables and their impact on the enterprise architecture layers

This study examines the variables of digital maturity of companies. The framework for enterprise architectures Archimate 3.0 is used to compare the variables. The variables are assigned to the six layers of architecture: Strategy, Business Environment, Applications, Technology, Physical and Implementation and Migration. On the basis of a literature overview, 15 “digital maturity models” with a total of 147 variables are analyzed. The databases Scopus, EBSCO – Business Source Premier and ProQuest are used for this purpose

Active learning based laboratory towards engineering education 4.0

Universities have a relevant and essential key role to ensure knowledge and development of competencies in the current fourth industrial revolution called Industry 4.0. The Industry 4.0 promotes a set of digital technologies to allow the convergence between the information technology and the operation technology towards smarter factories. Under such new framework, multiple initiatives are being carried out worldwide as response of such evolution, particularly, from the engineering education point of view. In this regard, this paper introduces the initiative that is being carried out at the Technical University of Catalonia, Spain, called Industry 4.0 Technologies Laboratory, I4Tech Lab. The I4Tech laboratory represents a technological environment for the academic, research and industrial promotion of related technologies. First, in this work, some of the main aspects considered in the definition of the so called engineering education 4.0 are discussed. Next, the proposed laboratory architecture, objectives as well as considered technologies are explained. Finally, the basis of the proposed academic method supported by an active learning approach is presented.Postprint (published version