Identification and evaluation of data-based use cases for assembly – Evaluation of Data Analytics Use Cases

被引：0
|
作者：
Stahl T. [1 ]
Wurst F. [1 ]
Huber M.F. [1 ]
机构：
[1] Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA, Nobelstr. 12, Stuttgart
来源：
WT Werkstattstechnik | 2023年 / 113卷 / 03期
关键词：
Automobilindustrie; Digitalisierung; Montage;
D O I：
10.37544/1436-4980-2023-03-41
中图分类号：
学科分类号：
摘要：
Identifying and realistically evaluating use cases in the field of data analytics requires expertise in both data science and domain knowledge, which often confronts companies with difficulties. Due to the complexity and the uncertain economic benefit of possible data analytic use cases, there are often challenges that make it difficult to realize data analytics projects. This publication presents a method for identifying and evaluating use cases of data analytics. © 2023, VDI Fachmedien GmBH & Co. KG. All rights reserved.
引用
收藏
页码：107 / 113
页数：6
相关论文
共 50 条
  • [41] Evaluation of two methods for the use of diatoms in drowning cases
    Fucci, Nadia
    Pascali, Vincenzo L.
    Puccinelli, Camilla
    Marcheggiani, Stefania
    Mancini, Laura
    Marchetti, Daniela
    FORENSIC SCIENCE MEDICINE AND PATHOLOGY, 2015, 11 (04) : 601 - 605
  • [42] Use cases for systems engineering -: An approach and empirical evaluation
    Eriksson, Magnus
    Borg, Kjell
    Borstler, Jurgen
    SYSTEMS ENGINEERING, 2008, 11 (01) : 39 - 60
  • [43] Evaluation of two methods for the use of diatoms in drowning cases
    Nadia Fucci
    Vincenzo L. Pascali
    Camilla Puccinelli
    Stefania Marcheggiani
    Laura Mancini
    Daniela Marchetti
    Forensic Science, Medicine, and Pathology, 2015, 11 : 601 - 605
  • [44] The Identification and Use Efficiency Evaluation of Urban Industrial Land Based on Multi-Source Data
    Qiao, Lin
    Huang, Huiping
    Tian, Yichen
    SUSTAINABILITY, 2019, 11 (21)
  • [45] Critical evaluation of the use of artificial data for machine learning based de novo peptide identification
    McDonnell, Kevin
    Howley, Enda
    Abram, Florence
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2023, 21 : 2732 - 2743
  • [46] Ethical considerations on the use of massive data-based technologies in UNED
    Aznarte, Jose L.
    RIED-REVISTA IBEROAMERICANA DE EDUCACION A DISTANCIA, 2020, 23 (02): : 237 - 252
  • [47] Explainable AI Algorithms for Vibration Data-Based Fault Detection: Use Case-Adadpted Methods and Critical Evaluation
    Mey, Oliver
    Neufeld, Deniz
    SENSORS, 2022, 22 (23)
  • [48] Exploring Predictors of Teachers' Sustained Use of Data-Based Instruction
    An, Jechun
    Shanahan, Emma
    Choi, Seohyeon
    Mcmaster, Kristen L.
    JOURNAL OF LEARNING DISABILITIES, 2025, 58 (01) : 19 - 32
  • [49] Evaluation of Data-Based Estimates of Anthropogenic Carbon in the Arctic Ocean
    Terhaar, J.
    Tanhua, T.
    Stoeven, T.
    Orr, J. C.
    Bopp, L.
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2020, 125 (06)
  • [50] A data-based approach to evaluation and empiric treatment of newborn sepsis
    Young, Paul C.
    JOURNAL OF PEDIATRICS, 2014, 165 (03): : 640 - 641
12345