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Auflistung nach Schlagwort "manufacturing"

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  • Zeitschriftenartikel
    Industrial analytics – An overview
    (it - Information Technology: Vol. 64, No. 1-2, 2022) Gröger, Christian
    The digital transformation generates huge amounts of heterogeneous data across the industrial value chain, from simulation data in engineering, over sensor data in manufacturing to telemetry data on product use. Extracting insights from these data constitutes a critical success factor for industrial enterprises, e. g., to optimize processes and enhance product features. This is referred to as industrial analytics, i. e., data analytics for industrial value creation. Industrial analytics is an interdisciplinary subject area between data science and industrial engineering and is at the core of Industry 4.0. Yet, existing literature on industrial analytics is fragmented and specialized. To address this issue, this paper presents a holistic overview of the field of industrial analytics integrating both current research as well as industry experiences on real-world industrial analytics projects. We define key terms, describe typical use cases and discuss characteristics of industrial analytics. Moreover, we present a conceptual framework for industrial analytics that structures essential elements, e. g., data platforms and data roles. Finally, we conclude and highlight future research directions.
  • Workshopbeitrag
    An Industry 4.0 Production Workplace Enhanced by Using Mixed Reality Assembly Instructions with Microsoft HoloLens
    (Mensch und Computer 2020 - Workshopband, 2020) Hebenstreit, Matthias; Spitzer, Michael; Eder, Matthias; Ramsauer, Christian
    Every emerging technology raises the question which already existing processes and solutions can be replaced or adapted. Before implement these technologies they should be evaluated on their positive or negative impacts on already existing approaches. Furthermore, technical resources, organizational conditions and human factors have to be considered. In order to measure these impacts an appropriate industry scenario or use case should be defined. To foster the technology introduction in real world industry scenarios existing work processes were investigated and adapted. Prototypical implementations should give required insights to evaluate new technologies in defined use cases. In this work we introduce a Mixed Reality (MR) assembly instruction in manufacturing domain to support the worker in ensuring a zero failure culture. In an existing workstation of a scooter production line at the LEAD Factory at Graz University of Technology (TU-Graz) we introduced a emerging technology implemented on the Microsoft HoloLens. Based on this technology the existing textual instruction of one workplace was replaced by an interactive 3D assembly instruction. This paper describes the prototypical implementation of a MR assembly instruction with Microsoft HoloLens and summarizes the upcoming challenges as well as considerations and decisions during the implementation.
  • Textdokument
    Influence Estimation In Multi-Step Process Chains Using Quantum Bayesian Networks
    (INFORMATIK 2022, 2022) Selch,Maximilian; Müssig,Daniel; Hänel,Albrecht; Lässig,Jörg; Ihlenfeldt,Steffen
    Digital representatives of physical assets and process steps play a decisive role in analysing properties and evaluating the quality of the process. So-called digital twins acquire all relevant planning and process data, which provide the basis, for example, to investigate path accuracies in manufacturing. Each single process step aims to perform an ideal machining after the specification of a target geometry. However, the practical implementation of a step usually shows deviations from the targeted shape. The machine-learning based method of probabilistic Bayesian networks enables the quality estimation of the holistic process chain as well as improvements by targeted considerations of single steps and influence factors. However, the handling of large-scale Bayesian networks requires a high computational effort, whereas the processing with quantum algorithms holds potential improvements in storage and performance. Based on the issue of path accuracy, this paper considers the modelling and influence estimation for a milling operation including experiments on superconducting quantum hardware.
  • Konferenzbeitrag
    Use Cases and Concepts for 3D Visualisation in Manufacturing
    (Informatik 2007 – Informatik trifft Logistik – Band 2, 2007) Wolf, Bernhard; Mofor, Gerald; Rode, Jochen
    We propose and analyse six use cases for 3D visualisation in manufacturing attempting to identify business scenarios for which 3D visualisation can add value in supporting manufacturing operations. This early qualitative work is based on a theoretical analysis of potential use cases. In addition to the analysis, we discuss the required data and data sources, and finally propose a number of basic concepts for visualising different kinds of manufacturing data.