Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK

Filters

4
3
Reset filters

Settings
Now showing 1 - 4 of 4
  • Publication
    Semantic Assistance System for Providing Smart Services and Reasoning in Aero-Engine Manufacturing
    ( 2019)
    Gogineni, S.
    ;
    Exner, K.
    ;
    Stark, R.
    ;
    Nickel, J.
    ;
    Oeler, M.
    ;
    Witte, H.
    Digitalization has led to creation and management of knowledge using information and communication technology tools (ICT) and systems. Implementing such tools and systems across the lifecycle is a tedious process and not to forget customizing them to the company's processes is an additional challenge. Hence, data in a company is spread across multiple ICT in heterogeneous data formats and are sparsely connected together. Connecting the various data sources to enable a single point of access of information in a company can improve performance, quality, reduce costs and time to market. The usage of semantic technologies enables meaningful and structured unification of these distributed data sources and therefore, is providing advantages such as reusability, interoperability, and information flow across the entire value chain. Extending these capabilities with smart services and intelligent algorithms, is advantageous for the user. The user will then receive context sensitive information and additional suggestions that increases the speed, quality and efficiency of work. This paper aims at describing the design, developing and validation of an assistance system for semantic product data, in cooperation with Rolls-Royce Deutschland, an aerospace manufacturing industry, using semantic technologies and machine learning.
  • Publication
    Data-driven business model a methodology to develop smart services
    ( 2018)
    Exner, K.
    ;
    Stark, R.
    ;
    Kim, J.Y.
    The appearance of Industrie 4.0 also known as cyber-physical systems and internet of things enables a continuous creation of data based on intelligent facilities. It is assumed that data will be one of the main resources in the future. Nevertheless, data need to be transformed into valuable information and further systematically integrated into a value proposition. In order to develop these smart services a data-driven business model has to be developed and evaluated. For this reason, a literature review has been conducted to identify existing business model approaches in context of Industrie 4.0 and Product-Service Systems. Based on the results of the review requirements for a new model and method have been defined and a data-driven business model including an extensive catalogue of key questions have been developed and applied with an industrial partner. The findings and results of the study are presented in this paper.
  • Publication
    PLM Customizing
    ( 2017)
    Sucuoglu, E.
    ;
    Exner, K.
    ;
    Stark, R.
    The implementation and utilization of a product lifecycle management (PLM) system, including the continuously adoption to business processes, methods and functions, implies massive challenges and outlay for organizations. Despite the importance of customizing in PLM projects, there are no adequate models to support organizations in their customizing process. This paper focuses on the customizing process of PLM systems considering not only the technical IT view, but also the organizational and the human context. In order to identify the state of the art in industrial practice eleven qualitative interviews have been conducted. The results and implications are presented in this paper. The findings comprise five dimensions and an additional generic PLM customizing process.
  • Publication
    A transdisciplinary perspective on prototyping
    ( 2015)
    Exner, K.
    ;
    Lindow, K.
    ;
    Stark, R.
    ;
    Ängeslevä, J.
    ;
    Bähr, B.
    ;
    Nagy, E.
    New societal challenges influence product development on different levels, from business strategies of companies to engineering activities. For instance, the extension of product centered development to Product-Service Systems including products, services, infrastructure, business models etc. demand specialists of different domains regarding the development of such solutions. Therefore, transdisciplinary team work is not an academic concept, but a necessity in practice. Besides classical challenges regarding team work, transdisciplinary teams have to face differences in the mutual understanding of development concepts, thus, resulting in misunderstandings. The research group Rethinking Prototyping focusses on prototyping processes, in particular by integrating different approaches and analyzing future potential of prototyping. The main idea is to bring different perspectives into collision to learn from each other and develop a common understanding of prototyping.