Integrative Service Innovation: An Industrial Use Case

© 2015 IEEE. Industrial production is evolving towards service orientation so as to enhance the manufacturing firm's competitive positioning and profit potential. This 'paradigm' shift by manufacturing towards service thinking calls for a suitable service design method and corresponding business model design to create a competitive product service system (PSS) for industrial production. However, an integrated method for innovation and business model design of a PSS is not well established nor understood. In this study an integrative innovation and business model design method, known as iSIM, is illustrated through two industrial use-cases from one coorporation to demonstrate its applicability. The results confirm the importance of integrative innovation and business model design methods and point to the applicability of the methods like iSIM in industrial settings for PSS

Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions

The development of renewable energies and smart mobility has profoundly impacted the future of the distribution grid. An increasing bidirectional energy flow stresses the assets of the distribution grid, especially medium voltage switchgear. This calls for improved maintenance strategies to prevent critical failures. Predictive maintenance, a maintenance strategy relying on current condition data of assets, serves as a guideline. Novel sensors covering thermal, mechanical, and partial discharge aspects of switchgear, enable continuous condition monitoring of some of the most critical assets of the distribution grid. Combined with machine learning algorithms, the demands put on the distribution grid by the energy and mobility revolutions can be handled. In this paper, we review the current state-of-the-art of all aspects of condition monitoring for medium voltage switchgear. Furthermore, we present an approach to develop a predictive maintenance system based on novel sensors and machine learning. We show how the existing medium voltage grid infrastructure can adapt these new needs on an economic scale

Multi-Objective Optimization of Product Life-Cycle Costs and Environmental Impacts.

The present paper discusses the development of a model to multi-objective optimization of product life-cycle costs and environmental impacts. In modern world European companies need new competitive factors. Costs along the life-cycle and sustainability could provide two of these. A model to optimize costs and environmental impacts could play a relevant role for engineering the life-cycle of a product. Within this context, the paper conducts a state of the art review of existing solutions. In the end a model is proposed

Towards Enabling Cyber-Physical Systems in Brownfield Environments: Leveraging Environmental Information to Derive Virtual Representations of Unconnected Assets

The digital transformation based on internet technologies comprises huge potentials but also challenges for the production industry. Even though some design characteristics are generally accepted for the digitized integration of machines, applications and surrounding components the inherent complexity and variety of interaction protocols, data formats and interdependencies of existing deployments in so called brownfield environments hampers the data-driven manufacturing of the future. We propose an iterative approach where existing context data is used to encapsulate the specific complexity of each resource in order to create a flexible integration layer. Nearly all relevant resources are modeled as self-descriptive cyber-physical systems or Virtual Representations according to the setting of the physical production environment, therefore drastically reducing the required access barriers. We present a reference implementation and discuss its business implications by the example of industrial maintenance

Modeling Issues: A Survival Guide for a Non-expert Modeler

While developing an integral security model to be used in a Service Oriented Architecture (SOA) context, we find a lot of ambiguities and inaccuracies when authors speak of models, metamodels, profiles and so on. This led us to study a great number of references in a search for precise definitions to help us to address our research. Our study and discussions were so extensive that we are convinced they will be a valuable contribution to the community. In particular, in this paper we present several Reference Concept Maps that depict graphically a large number of definitions with their associated bibliographical references. Nevertheless, we truly believe that there are still a lot of concepts to be clarified and that this clarification is essential so that basic modeling concepts can be best used by non-expert modelers. © 2010 Springer-Verlag