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

Jesus Villalobos, Luis Muǹoz, Marco A. Gutierrez

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

This paper explores different alternatives for online monitoring of the assembly of surface mounted devices (SMD). The paper compares three 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 in 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.

Original languageEnglish (US)
Pages (from-to)109-121
Number of pages13
JournalInternational Journal of Production Economics
Volume95
Issue number1
DOIs
StatePublished - Jan 28 2005

Fingerprint

Surface mount technology
Sampling
Monitoring
Charts
Exponentially weighted moving average
Hotelling
Scenarios

Keywords

  • Average run length
  • Electronics assembly
  • Multivariate control charts
  • Statistical process control
  • Variable sampling interval

ASJC Scopus subject areas

  • Economics and Econometrics
  • Industrial and Manufacturing Engineering

Cite this

Using fixed and adaptive multivariate SPC charts for online SMD assembly monitoring. / Villalobos, Jesus; Muǹoz, Luis; Gutierrez, Marco A.

In: International Journal of Production Economics, Vol. 95, No. 1, 28.01.2005, p. 109-121.

Research output: Contribution to journalArticle

@article{31e5ba5527ca498fb60c87a14c3d20b0,
title = "Using fixed and adaptive multivariate SPC charts for online SMD assembly monitoring",
abstract = "This paper explores different alternatives for online monitoring of the assembly of surface mounted devices (SMD). The paper compares three 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 in 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.",
keywords = "Average run length, Electronics assembly, Multivariate control charts, Statistical process control, Variable sampling interval",
author = "Jesus Villalobos and Luis Muǹoz and Gutierrez, {Marco A.}",
year = "2005",
month = "1",
day = "28",
doi = "10.1016/j.ijpe.2003.11.011",
language = "English (US)",
volume = "95",
pages = "109--121",
journal = "International Journal of Production Economics",
issn = "0925-5273",
publisher = "Elsevier",
number = "1",

}

TY - JOUR

T1 - Using fixed and adaptive multivariate SPC charts for online SMD assembly monitoring

AU - Villalobos, Jesus

AU - Muǹoz, Luis

AU - Gutierrez, Marco A.

PY - 2005/1/28

Y1 - 2005/1/28

N2 - This paper explores different alternatives for online monitoring of the assembly of surface mounted devices (SMD). The paper compares three 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 in 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.

AB - This paper explores different alternatives for online monitoring of the assembly of surface mounted devices (SMD). The paper compares three 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 in 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.

KW - Average run length

KW - Electronics assembly

KW - Multivariate control charts

KW - Statistical process control

KW - Variable sampling interval

UR - http://www.scopus.com/inward/record.url?scp=10444261255&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=10444261255&partnerID=8YFLogxK

U2 - 10.1016/j.ijpe.2003.11.011

DO - 10.1016/j.ijpe.2003.11.011

M3 - Article

AN - SCOPUS:10444261255

VL - 95

SP - 109

EP - 121

JO - International Journal of Production Economics

JF - International Journal of Production Economics

SN - 0925-5273

IS - 1

ER -