Using fixed and adaptive multivariate SPC charts for online SMD assembly monitoring

被引:16
|
作者
Villalobos, JR [1 ]
Muñoz, L
Gutierrez, MA
机构
[1] Arizona State Univ, Elect Assembly Lab, Tempe, AZ 85287 USA
[2] Amkor Technol Inc, Chandler, AZ 85248 USA
基金
美国国家科学基金会;
关键词
statistical process control; multivariate control charts; electronics assembly; average run length; variable sampling interval;
D O I
10.1016/j.ijpe.2003.11.011
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper explores different alternatives for online monitoring of the assembly of surface mounted devices (SMD). The paper compares, thrice widely used multivariate control charts: Hotelling. multivariate exponentially weighted moving average (MEWMA), and multivariate cumulative sum (MCUSUM). Two different scenarios are analyzed: one in which the sampling interval is fixed, and another in which the sampling interval is variable. The results presented in this paper are part of the development of an integrated quality environment for SMD assembly. For the first scenario. where fixed sampling intervals were used, MEWMA outperformed Hotelling and MCUSUM. That is. MEWMA was faster to detect shifts ill the process mean. For the second scenario. where variable sampling intervals were used. only Hotelling was tested. The results showed that Hotelling with variable Sampling intervals performed better than MEWMA with fixed sampling intervals. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:109 / 121
页数:13
相关论文
共 50 条
  • [41] Monitoring univariate and multivariate profiles using the triple exponentially weighted moving average scheme with fixed and random explanatory variables
    Malela-Majika, Jean-Claude
    Shongwe, Sandile Charles
    Chatterjee, Kashinath
    Koukouvinos, Christos
    COMPUTERS & INDUSTRIAL ENGINEERING, 2022, 163
  • [42] MONITORING OF ADULTERANTS IN CRAMBE METHYL BIODIESEL IN MIXTURES WITH DIESEL, USING FT-MIR AND MULTIVARIATE CONTROL CHARTS BASED ON NET ANALYTE SIGNAL
    Sitoe, Baltazar Vasco
    da Costa, Lucas Gustavo
    dos Santos, Brendon Araujo
    Santose, Douglas Queiroz
    Neto, Waldomiro Borges
    QUIMICA NOVA, 2020, 43 (01): : 1 - 8
  • [43] Monitoring of biodiesel content and adulterant presence in methyl and ethyl biodiesels of jatropha in blends with mineral diesel using MIR spectrometry and multivariate control charts
    Sitoe, Baltazar Vasco
    Viagem Maquina, Ademar Domingos
    de Santana, Felipe Bachion
    Gontijo, Lucas Caixeta
    Santos, Douglas Queiroz
    Neto, Waldomiro Borges
    FUEL, 2017, 191 : 290 - 299
  • [44] Multivariate online monitoring of a full-scale biological anaerobic filter process using kernel-based algorithms
    Lee, Dae Sung
    Lee, Min Woo
    Woo, Seung Han
    Kim, Young-Ju
    Park, Jong Moon
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2006, 45 (12) : 4335 - 4344
  • [45] Online monitoring of multi-phase batch processes using phase-based multivariate statistical process control
    Doan, Xuan-Tien
    Srinivasan, Rajagopalan
    COMPUTERS & CHEMICAL ENGINEERING, 2008, 32 (1-2) : 230 - 243
  • [46] Online Monitoring and Fault Diagnosis of Multivariate-attribute Process Mean Using Neural Networks and Discriminant Analysis Technique
    Maleki, M. R.
    Sahraeian, R.
    INTERNATIONAL JOURNAL OF ENGINEERING, 2015, 28 (11): : 1634 - 1643
  • [47] Online monitoring of cement clinker quality using multivariate statistics and Takagi-Sugeno fuzzy-inference technique
    Pani, Ajaya Kumar
    Mohanta, Hare Krishna
    CONTROL ENGINEERING PRACTICE, 2016, 57 : 1 - 17
  • [48] Online monitoring of the voltage stability margin using local minimax concave penalty regression and adaptive database
    Huang, Zongwu
    Xu, Xun
    Fan, Youping
    Wang, Zijiang
    Shang, Ben
    Shang, Maolin
    Yu, Wenxiang
    Wu, Yiming
    Li, Dongjie
    Lin, Mingqi
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 149
  • [49] Change Point Detection Using Multivariate Exponentially Weighted Moving Average (MEWMA) for Optimal Parameter in Online Activity Monitoring
    Khan, Naveed
    McClean, Sally
    Zhang, Shuai
    Nugent, Chris
    UBIQUITOUS COMPUTING AND AMBIENT INTELLIGENCE, UCAMI 2016, PT I, 2016, 10069 : 156 - 165
  • [50] Adaptive, online polarization mode dispersion monitoring technique using acousto-optic tunable filters
    Tseng, Bao-Jang
    Tarn, Chen-Wen
    OPTICAL ENGINEERING, 2006, 45 (11)