Zero defect manufacturing strategies for reduction of scrap and inspection effort in multi-stage production systems

被引:47
作者
Eger, Florian [1 ]
Coupek, Daniel [1 ]
Caputo, Davide [2 ]
Colledani, Marcello [3 ]
Penalva, Mariluz [4 ]
Ortiz, Jon Ander [5 ]
Freiberger, Hermann [6 ]
Kollegger, Gernot [7 ]
机构
[1] Inst Control Engn Machine Tools & Mfg Units, Seidenstr 36, D-70174 Stuttgart, Germany
[2] GKN Aerosp Engine Syst Norway, Kirkegardsveien 45, N-3616 Kongsberg, Norway
[3] Politecn Milan, Dept Mech Engn, Via Masa 1, I-20156 Milan, Italy
[4] Tecnalia Res & Innovat, Mikeletegi 7, Donostia San Sebastian 20009, Spain
[5] IK4 Ideko, Arriaga Ind Dea 2, Elgoibar 20870, Spain
[6] ABF Ind Automat GmbH, Deggendorfstr 6, A-4030 Linz, Austria
[7] nxtControl GmbH, Aumuhlweg 3-B1, Leobersdorf, Austria
来源
11TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING | 2018年 / 67卷
基金
欧盟地平线“2020”;
关键词
Zero-defect manufacturing; Effect elimination; Multi-stage; Production system;
D O I
10.1016/j.procir.2017.12.228
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Multi-stage production systems offer a huge potential for defect compensation and defect propagation avoidance on system level, in contrast to current single-stage solutions, in order to reduce scrap and to minimize time-consuming and cost-intensive quality control. Integration of additional sensor systems and sophisticated analysis of the acquired signals enable strategies in the field of downstream compensation, inline rework and enhanced process control without including additional process and inspection stages. The presented strategies are validated in three emerging European industrial sectors (aerospace, railway and medical) yielding a universal solution for zero defect manufacturing in multi-stage production systems. (C) 2017 The Authors. Published by Elsevier B.V.
引用
收藏
页码:368 / 373
页数:6
相关论文
共 30 条
  • [1] Bae SJ, 2015, RELIAB ENG SYST SAFE, P66
  • [2] Improved signal characterization via Empirical Mode Decomposition to enhance in-line quality monitoring
    Carroccia, Andrea
    Grasso, Marco
    Maggioni, Matteo
    Colosimo, Bianca M.
    [J]. RESEARCH AND INNOVATION IN MANUFACTURING: KEY ENABLING TECHNOLOGIES FOR THE FACTORIES OF THE FUTURE - PROCEEDINGS OF THE 48TH CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2016, 41 : 717 - 722
  • [3] Cecilio J, CONFIGURABLE MIDDLEW, P145
  • [4] Data mining for yield enhancement in semiconductor manufacturing and an empirical study
    Chien, Chen-Fu
    Wang, Wen-Chih
    Cheng, Jen-Chieh
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2007, 33 (01) : 192 - 198
  • [5] Colledani M., 2014, Procedia CIRP, V21, P159, DOI [https://doi.org/10.1016/j.procir.2014.03.186, DOI 10.1016/J.PROCIR.2014.03.186]
  • [6] Quality-oriented design of rotor assembly strategies for electric drive production systems
    Colledani, Marcello
    Yemane, Anteneh
    Coupek, Daniel
    Lechler, Armin
    [J]. CIRP 25TH DESIGN CONFERENCE INNOVATIVE PRODUCT CREATION, 2015, 36 : 141 - 146
  • [7] Design and management of manufacturing systems for production quality
    Colledani, Marcello
    Tolio, Tullio
    Fischer, Anath
    Iung, Benoit
    Lanza, Gisela
    Schmitt, Robert
    Vancza, Jozsef
    [J]. CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2014, 63 (02) : 773 - 796
  • [8] Integrated quality, production logistics and maintenance analysis of multi-stage asynchronous manufacturing systems with degrading machines
    Colledani, Marcello
    Tolio, Tullio
    [J]. CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2012, 61 (01) : 455 - 458
  • [9] Coupek D., 2013, P 2013 3 INT ELECT D, P1, DOI [10.1109/EDPC.2013.6689762, DOI 10.1109/EDPC.2013.6689762]
  • [10] Coupek D, 2014 4 INT EL DRIV P, P1