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Abstract.As tangible products can be easily copied and customers ask for individual solutions, the European manufacturing industry increasingly bundles their products with associated services to so called "Extended Products" (EP). Missing competencies for this servitization have to be acquired by involving partners from the companies' environment, the "Manufacturing Service Ecosystem" (MSE). However, traditional manufacturers lack the appropriate models, methods and tools for collaborative innovation, development and provision of EP. This paper presents the results of a requirements analysis of four manufacturing use cases that indicates the need for support in the area of servitization and collaboration in MSE.

Abstract-Rigidly pre-planned business processes are applied in the field of production planning and product development to coordinate the collaboration of single enterprises. Each step in these workflows is precisely scheduled, accounting for external constraints such as availability of material, delivery dates, and efficiency of humans and machines. However, finally all these steps are performed, or at least controlled, by humans and it is likely that in human-operated environments failures happen, and misunderstandings require adaptations and adhoc interference to avoid delays in workflow executions.In this paper, we discuss the role of human interaction support in traditional process-oriented environments, and present new approaches to dynamic involvement and interactions with collaboration partners. We highlight a typical use case where human experts are flexibly involved in certain steps of workflows that assist single tasks owners to solve emerging problems. In our approach, experts are discovered based on dynamically changing contextual constraints, such as problem areas and required expertises, and enable their fast involvement by using Web 2.0 communication facilities.

The emerging Liquid-Sensing Enterprise (LSE) concept provides to manufacturing enterprises the required enablers to modernize traditional strategies for product design and validation. The proposed osmosis processes integrates innovative processes and paradigms comprising a MDA/MDI based approach with the focus to potentiate the generation of technological innovations. These osmosis processes address the existing real, digital and virtual related data of specific products design supported by sensing assets to facilitate ready-to-run business processes, to then perform efficient product development and validation. This paper integrates model-driven techniques and runtime environments as well as novel form of information access and visualization for systems design and process development. The developments are accompanied with a real example from a manufacturing environment of engine camshafts.

new technologies and increasing accessibility of powerful hardware are opening a new world of opportunity to digitalize current processes making them more efficient. The paper will discuss the process of digital transformation of the NGCTR flight test campaign in which the new big data analysis technologies have a central role in the gathering, storing analyses and provision of evidence about what happened during flight. The new approach is enabled thanks to a powerful big data analysis cluster which have been tailored to best support the specific process.

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Enterprise Collaboration (EC) is a widely discussed subject. Due to this fact a variety of different opinions can be formed mainly based on the scientific discipline behind it. From our understanding Enterprise Collaborations are based on inter-organisational relationships between network members. The analysis and support of those relationships was one of the main objectives of the COIN IP project. In the first year of the project the main objective for the Baseline Enterprise Collaboration (EC) Services team was to consolidate and harmonise results from previous RTD projects concerned with Enterprise Collaboration. As a scientific result EC Baselines Services are able to support most dynamic enterprise collaborations, like Business Ecosystems, by harmonisation of individuals and organisations profiles under the same model.