14 research outputs found

    Simulation-based reconfiguration planning of flexible assembly lines

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    Reconfigurations of flexible assembly systems take place at higher frequencies, which leads to an increase in planning effort. A new concept for the reconfiguration is developed in order to support the planning department and enhance planning quality. The planning method is based on an integrated digital planning which consistently connects a PLM-system with a simulation tool

    Industrial data science in value creation networks

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    Concept of a Service Platform for Data Integration and Analysis, Competence Development and Initiation of New Business Models. Industrial Data Science provides manufacturing companies with innovative opportunities to optimize products and processes as well as to initiate new business models in value creation networks. To enable companies to use modern analysis technologies, the concept of an integrated, data-driven reference kit for Industrial Data Science and its implementation as a collaborative service platform are presented. In addition, use cases of individual solution modules of the service platform are outlined

    Enhanced predictability of agile procedures

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    In academics and industry the use of agile procedures for planning of production systems is a steady upward trend. Besides the potential efficiency improvements new challenges in the predictability of projects arise. The methodology described in this paper increases this by a synchronous collaboration model of all disciplines involved and with the establishment of standardized planning contents with standard times

    Prospective Evaluation of Assembly Work Content and Costs in Series Production

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    Part 5: Standardization and Knowledge Management/DevelopmentsInternational audienceStrategic decisions in early production planning phases have a high impact on various production aspects. Decision making is often based on vague expert knowledge due to lack of a reliable knowledge base. Implications of this problem are especially observable in the field of assembly planning, which integrates results from various planning disciplines. The proposed paper introduces a new concept and the corresponding data model for application of Data Mining (DM) methods in the field of production assembly planning and product design. The concept presents assistance potentials for development of new products variants along the product emergence process (PEP)
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