Yield-Based Capability Index for Evaluating the Performance of Multivariate Manufacturing Process

Quality and Reliability Engineering International ◽

10.1002/qre.1602 ◽

2013 ◽

Vol 31 (3) ◽

pp. 419-430 ◽

Cited By ~ 14

Author(s):

Kai Gu ◽

Xinzhang Jia ◽

Hongwei Liu ◽

Hailong You

Keyword(s):

Manufacturing Process ◽

Capability Index ◽

Multivariate Manufacturing

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Multivariate manufacturing process planning for aircraft airframe production based on weighted criteria analysis

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-021-07144-w ◽

2021 ◽

Cited By ~ 1

Author(s):

Andrey Kutin ◽

Mikhail Turkin ◽

Mikhail Kliuev

Keyword(s):

Process Planning ◽

Manufacturing Process ◽

Manufacturing Process Planning ◽

Multivariate Manufacturing

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Stacked denoising autoencoder-based feature learning for out-of-control source recognition in multivariate manufacturing process

Quality and Reliability Engineering International ◽

10.1002/qre.2392 ◽

2018 ◽

Vol 35 (1) ◽

pp. 204-223 ◽

Cited By ~ 7

Author(s):

Jianbo Yu ◽

Xiaoyun Zheng ◽

Shijin Wang

Keyword(s):

Manufacturing Process ◽

Feature Learning ◽

Denoising Autoencoder ◽

Multivariate Manufacturing ◽

Control Source

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Fuzzy testing decision-making model for intelligent manufacturing process with Taguchi capability index

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-190865 ◽

2020 ◽

Vol 38 (2) ◽

pp. 2129-2139 ◽

Cited By ~ 4

Author(s):

Kuen-Suan Chen

Keyword(s):

Decision Making ◽

Manufacturing Process ◽

Intelligent Manufacturing ◽

Capability Index ◽

Decision Making Model

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Bayesian neural networks for nonlinear multivariate manufacturing process monitoring

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. ◽

10.1109/ijcnn.2005.1556261 ◽

2006 ◽

Cited By ~ 4

Author(s):

Feng Zhang

Keyword(s):

Neural Networks ◽

Process Monitoring ◽

Manufacturing Process ◽

Bayesian Neural Networks ◽

Multivariate Manufacturing

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A synergistic Mahalanobis–Taguchi system and support vector regression based predictive multivariate manufacturing process quality control approach

Journal of Manufacturing Systems ◽

10.1016/j.jmsy.2020.10.003 ◽

2020 ◽

Vol 57 ◽

pp. 323-337

Author(s):

Sagar Sikder ◽

Indrajit Mukherjee ◽

Subhash Chandra Panja

Keyword(s):

Quality Control ◽

Support Vector Regression ◽

Manufacturing Process ◽

Process Quality ◽

Support Vector ◽

Control Approach ◽

Multivariate Manufacturing

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Manufacturing process performance evaluation for fuzzy data based on loss-based capability index

Soft Computing ◽

10.1007/s00500-011-0736-x ◽

2011 ◽

Vol 16 (1) ◽

pp. 89-99 ◽

Cited By ~ 9

Author(s):

Ming-Hung Shu ◽

Hsien-Chung Wu

Keyword(s):

Performance Evaluation ◽

Manufacturing Process ◽

Fuzzy Data ◽

Process Performance ◽

Capability Index

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A CASE STUDY ON IMPLEMENTATION OF MAHALANOBIS-TAGUCHI SYSTEM FOR MULTIVARIATE MANUFACTURING PROCESS CONTROL

IAPQR TRANSACTIONS ◽

10.32381/iapqrt.2018.43.01.4 ◽

2018 ◽

Vol 43 (1) ◽

pp. 61-71

Author(s):

SAGAR SIKDER ◽

◽

INDRAJIT MUKHERJEE ◽

SUBHASH CHANDRA PANJA ◽

◽

...

Keyword(s):

Process Control ◽

Manufacturing Process ◽

Manufacturing Process Control ◽

Multivariate Manufacturing

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Root Cause Detection with an Ensemble Machine Learning Approach in the Multivariate Manufacturing Process

Lecture Notes in Management and Industrial Engineering - Industrial Engineering in the Big Data Era ◽

10.1007/978-3-030-03317-0_14 ◽

2019 ◽

pp. 163-174 ◽

Cited By ~ 2

Author(s):

Deniz Demircioglu Diren ◽

Semra Boran ◽

Ihsan Hakan Selvi ◽

Tugcen Hatipoglu

Keyword(s):

Machine Learning ◽

Manufacturing Process ◽

Learning Approach ◽

Root Cause ◽

Ensemble Machine Learning ◽

Machine Learning Approach ◽

Multivariate Manufacturing

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On Empirical Bayes Procedures for Selecting the Best Manufacturing Process Based on Process Capability Index

Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007) ◽

10.1109/icicic.2007.415 ◽

2007 ◽

Author(s):

Wen-Tao Huang ◽

Yao-Tsung Lai

Keyword(s):

Manufacturing Process ◽

Empirical Bayes ◽

Process Capability ◽

Process Capability Index ◽

Capability Index ◽

Bayes Procedures

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Assessment and comparison of multivariate process capability indices in ceramic industry

Journal of Mechanical Engineering ◽

10.3329/jme.v39i1.1829 ◽

1970 ◽

Vol 39 (1) ◽

pp. 18-25 ◽

Cited By ~ 2

Author(s):

Md Abu Zahid ◽

Arifa Sultana

Keyword(s):

Manufacturing Process ◽

Process Capability ◽

Rejection Rate ◽

Process Capability Indices ◽

Multivariate Process ◽

Capability Index ◽

Capability Indices ◽

Multivariate Control Chart ◽

Single Number ◽

Multivariate Control

Process capability indices are intended to provide a single-number assessment of the consistency of a manufacturing process relative to the engineering specification limits on quality characteristics. In many industrial instances product quality depends on a multitude of dependent characteristics and as a consequence, attention on capability indices shifts from univariate domain to multivariate domain. In this paper five different multivariate methodologies are used for measuring and comparing capability of a ceramic table-ware manufacturing process. Based on their multivariate process capability index values and expected rejection rate, the result shows that Castagliola's index is the best and followed by Chen, Taam, Shahriari and Braun respectively in this case. Keywords: Process capability indices, Multivariate process capability indices, Multivariate Capability Plot, Multivariate control chart doi:10.3329/jme.v39i1.1829 Journal of Mechanical Engineering, vol. ME39, No. 1, June 2008 18-25

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