Data Mining Definitions and Applications for the Management of Production Complexity

被引:22
|
作者
Schuh, Guenther [1 ]
Reinhart, Gunther [2 ]
Prote, Jan-Philipp [1 ]
Sauermann, Frederick [1 ]
Horsthofer, Julia [2 ]
Oppolzer, Florian [1 ]
Knoll, Dino [2 ]
机构
[1] Rhein Westfal TH Aachen, Lab Machine Tools & Prod Engn WZL, D-52074 Aachen, Germany
[2] Tech Univ Munich, Inst Machine Tools & Ind Management Iwb, D-85748 Garching, Germany
关键词
data mining; machine learning; artificial intelligence; production complexity;
D O I
10.1016/j.procir.2019.03.217
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Production complexity has increased considerably in recent years due to increasing customer requirements for individual products. At the same time, continuous digitization has led to the recording of extensive, granular production data. Research claims that using production data in data mining methods can lead to managing production complexity effectively. However, manufacturing companies widely do not use such data mining methods. In order to support manufacturing companies in utilizing data mining, this paper presents both a literature review on definitions of data mining, artificial intelligence and machine learning as well as a categorization of existing approaches of applying data mining to manage production complexity. (C) 2019 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:874 / 879
页数:6
相关论文
共 50 条
  • [31] Applications eligible for data mining
    Washio, Takashi
    ADVANCED ENGINEERING INFORMATICS, 2007, 21 (03) : 241 - 242
  • [32] Technologies and Applications of Data Mining
    Huang Yiding
    Wang Zhuo
    Cui Benliang
    Li Jian
    PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND INDUSTRIAL ENGINEERING, VOLS I AND II, 2010, : 855 - 857
  • [33] Data mining applications in marketing
    Escobar, H.
    Alcivar, M.
    Puris, A.
    REVISTA PUBLICANDO, 2016, 3 (08): : 503 - 512
  • [34] Applications of data mining in hydrology
    Liang, X
    Liang, Y
    2001 IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS, 2001, : 617 - 620
  • [35] Data Mining for Security Applications
    Thuraisingham, Bhavani
    Khan, Latifur
    Masud, Mohammad M.
    Hamlen, Kevin W.
    EUC 2008: PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING, VOL 2, WORKSHOPS, 2008, : 585 - 589
  • [36] Web for data mining applications
    Liu, B
    Ma, YM
    Wong, CK
    24TH ANNUAL INTERNATIONAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COSPSAC 2000), 2000, 24 : 465 - 466
  • [37] Data mining for security applications
    Thuraisingham, B
    PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA'04), 2004, : 3 - 4
  • [38] Data mining applications in BT
    Shortland, R.
    Scarfe, R.
    BT TECHNOLOGY JOURNAL, 2007, 25 (3-4) : 272 - 277
  • [39] Data mining for surveillance applications
    Thuraisingham, BM
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2006, 3918 : 12 - 14
  • [40] Data mining applications in bioinformatics
    Ramakrishnan, N
    Grama, AY
    DATA MINING FOR SCIENTIFIC AND ENGINEERING APPLICATIONS, 2001, 2 : 125 - 139