Discussion of big data (BD) has been about data, software, and methods with an emphasis on retail and personalization of services and products. Big data also has impacted engineering and manufacturing and has resulted in better and more efficient manufacturing operations, improved quality, and more personalized products. A less apparent effect is that big data have changed problem solving: the problems we choose to solve, the strategy we seek, and the tools we employ. This paper illustrates this point by showing how the big data style of thinking enabled the development of a new quality assurance philosophy called process monitoring for quality (PMQ). PMQ is a blend of process monitoring and quality control (QC) that is founded on big data and big model (BDBM), which are catalysts for the next step in the evolution of the quality movement. Process monitoring (PM) for quality was used to evaluate the performance of the ultrasonically welded battery tabs in the new Chevrolet Volt, an extended range electric vehicle.
Issue Section:
Research Papers
References
1.
Harding
, J. A.
, Shahbaz
, M.
, Srinivas
, and Kusiak
, A.
, 2006
, “Data Mining in Manufacturing: A Review
,” ASME J. Manuf. Sci. Eng.
, 128
(4
), pp. 969
–976
.2.
Cai
, W. W.
, Kang
, B.
, and Hu
, S. J.
, 2017
, Ultrasonic Welding for Lithium-Ion Batteries
, ASME Press
, New York
.3.
Zhou
, Z.-H.
, 2012
, Ensemble Methods: Foundations and Algorithms
, CRC Press
, Boca Raton, FL
.4.
5.
Tulyakov
, S.
, Jaeger
, S.
, Govindaraju
, V.
, and Doermann
, D.
, 2008
, “Review of Classifier Combination Methods
,” Machine Learning in Document Analysis and Recognition
, Springer
, Berlin
, pp. 361
–386
.6.
Friedman
, J.
, Hastie
, T.
, and Tibshirani
, R.
, 2001
, The Elements of Statistical Learning
, Vol. 1
, Statistics Springer
, Berlin
.7.
Box
, G.
, 1995
, “Total Quality: Its Origins and Its Future
,” Total Quality Management
, Springer
, Dordrecht, The Netherlands
, pp. 119
–127
.8.
Astashev
, V. K.
, and Babitsky
, V. I.
, 2007
, Ultrasonic Processes and Machines
, Springer
, Berlin
.9.
Kang
, B.
, Cai
, W.
, and Tan
, C.
, 2014
, “Dynamic Stress Analysis of Battery Tabs Under Ultrasonic Welding
,” ASME J. Manuf. Sci. Eng.
, 136
(4
), p. 041011
.10.
Lee
, S. S.
, Kim
, T. H.
, Hu
, S. J.
, Cai
, W. W.
, and Abell
, J. A.
, 2015
, “Analysis of Weld Formation in Multilayer Ultrasonic Metal Welding Using High-Speed Images
,” ASME J. Manuf. Sci. Eng.
, 137
(3
), p. 031016
.11.
Shao
, C.
, Kim
, T. H.
, Hu
, S. J.
, Jin
, J. J.
, Abell
, J. A.
, and Spicer
, J. P.
, 2016
, “Tool Wear Monitoring for Ultrasonic Metal Welding of Lithium-Ion Batteries
,” ASME J. Manuf. Sci. Eng.
, 138
(5
), p. 051005
.12.
Kay
, S. M.
, 1998
, Fundamentals of Statistical Signal Processing, Volume II: Detection Theory
(Prentice Hall Signal Processing Series), Prentice Hall
, Upper Saddle River, NJ
.13.
Liu
, H.
, and Motoda
, H.
, 1998
, Feature Extraction, Construction and Selection: A Data Mining Perspective
(The Springer International Series in Engineering and Computer Science), Vol. 453
, Springer
, New York
.14.
White
, H.
, 2000
, “A Reality Check for Data Snooping
,” Econometrica
, 68
(5
), pp. 1097
–1126
.15.
Leamer
, E.
, 1978
, Specification Searches: Ad Hoc Inference With Nonexperimental Data
(Applied Probability and Statistics), Wiley
, New York
.16.
Lee
, S.
, Lee
, H.
, Abbeel
, P.
, and Ng
, A.
, 2006
, “Efficient L1 Regularized Logistic Regression
,” National Conference on Artificial Intelligence
, Boston, MA, July 16–20, Vol. 21
, p. 401
.https://www.aaai.org/Papers/AAAI/2006/AAAI06-064.pdf17.
Jensen
, D. D.
, and Cohen
, P. R.
, 2000
, “Multiple Comparisons in Induction Algorithms
,” Mach. Learn.
, 38
(3
), pp. 309
–338
.18.
Abell
, J. A.
, Spicer
, J. P.
, Wincek
, M. A.
, Wang
, H.
, and Chakraborty
, D.
, 2014
, “Binary Classification of Items of Interest in a Repeatable Process
,” GM Global Technology Operations LLC, Detroit, MI, U.S. Patent No. US8757469B2
.http://www.google.co.in/patents/US875746919.
Dietterich
, T.
, 2000
, “Ensemble Methods in Machine Learning
,” International Workshop on Multiple Classifier Systems
, Springer
, Berlin
, pp. 1
–15
.20.
Du
, S.
, Liu
, C.
, and Xi
, L.
, 2015
, “A Selective Multiclass Support Vector Machine Ensemble Classifier for Engineering Surface Classification Using High Definition Metrology
,” ASME J. Manuf. Sci. Eng.
, 137
(1
), p. 011003
.21.
Kang
, H.
, and Kim
, J.
, 1997
, “A Probabilistic Framework for Combining Multiple Classifiers at Abstract Level
,” Fourth International Conference on Document Analysis and Recognition
(ICDAR
), Ulm, Germany, Aug. 18–20, Vol. 2
, pp. 870
–874
.22.
Ho
, T.
, Hull
, J.
, and Srihari
, S.
, 1994
, “Decision Combination in Multiple Classifier Systems
,” IEEE Trans. Pattern Anal. Mach. Intell.
, 16
(1
), pp. 66
–75
.23.
Chakraborty
, D.
, Kovvali
, N.
, Papandreou-Suppappola
, A.
, and Chattopadhyay
, A.
, 2011
, “Structural Damage Detection With Insufficient Data Using Transfer Learning Techniques
,” Proc. SPIE
, 7981
, pp. 1
–9
.24.
Kang
, H.
, and Kim
, J.
, 1995
, “Dependency Relationship Based Decision Combination in Multiple Classifier Systems
,” 11th International Joint Conference on Artificial Intelligence
(IJCAI
), Montreal, QC, Canada, Aug. 20–25, Vol. 2, p. 1130.https://www.ijcai.org/Proceedings/95-2/Papers/015.pdf25.
Chakraborty
, D.
, Kovvali
, N.
, Wei
, J.
, Papandreou-Suppappola
, A.
, Cochran
, D.
, and Chattopadhyay
, A.
, 2009
, “Damage Classification Structural Health Monitoring in Bolted Structures Using Time-Frequency Techniques
,” J. Intell. Mater. Syst. Struct.
, 20
(11
), pp. 1289
–1305
.26.
Breivold
, H. P.
, Crnkovic
, I.
, and Larsson
, M.
, 2012
, “A Systematic Review of Software Architecture Evolution Research
,” Inf. Software Technol.
, 54
(1
), pp. 16
–40
.27.
Wheeler
, D. A.
, 2003
, “Program Library HOWTO,” Free Software Foundation, Inc., Boston, MA, accessed June 10, 2017, http://tldp.org/HOWTO/Program-Library-HOWTO/index.html28.
Spicer
, J. P.
, Chakraborty
, D.
, Wincek
, M. A.
, Wang
, H.
, Abell
, J. A.
, Bracey
, J.
, and Cai
, W. W.
, 2014
, “Automatic Monitoring of Vibration Welding Equipment
,” GM Global Technology Operations LLC, Detroit, MI, U.S. Patent No. US20140138012A1
.https://www.google.com/patents/US2014013801229.
Spicer
, J. P.
, Cai
, W. W.
, Chakraborty
, D.
, and Mink
, K.
, 2015
, “Clamp Force and Alignment Checking Device
,” GM Global Technology Operations LLC, Detroit, MI, U.S. Patent No. U.S. 20150165673A1
.https://www.google.ch/patents/US2015016567330.
Spicer
, J. P.
, Abell
, J. A.
, Wincek
, M. A.
, Chakraborty
, D.
, Bracey
, J.
, Wang
, H.
, Tavora
, P. W.
, Davis
, J. S.
, Hutchinson
, D. C.
, Reardon
, R. L.
, and Utz
, S.
, 2013
, “Quality Status Display for a Vibration Welding Process
,” GM Global Technology Operations LLC, Detroit, MI, U.S. Patent No. US20130105557A1
.http://www.google.co.in/patents/US2013010555731.
Juran
, J. M.
, 1997
, “Early SQC: A Historical Supplement
,” Qual. Prog.
, 30
(9
), pp. 73
–81
.http://asq.org/qic/display-item/?item=1327032.
Moen
, R. D.
, and Norman
, C. L.
, 2010
, “Circling Back
,” Qual. Prog.
, 43
(11
), pp. 22
–28
.http://asq.org/quality-progress/2010/11/basic-quality/circling-back.html33.
Mandru
, L.
, Patrascu
, L.
, Carstea
, C.-G.
, Popesku
, A.
, and Birsan
, O.
, 2011
, “Paradigms of Total Quality Management
,” Recent Researched in Manufacturing Engineering
, Transilvania University of Braşov, Braşov, Romania, pp. 121
–126
.34.
Chua
, R.
, and Janssen
, A.
, 2001
, “Six Sigma: A Pursuit of Bottom-Line Results
,” Eur. Qual.
, 8
(3
), pp. 12
–15
.https://isssp.org/members-content/six-sigma-a-pursuit-of-bottom-line-results/35.
Kwak
, Y. H.
, and Anbari
, F. T.
, 2006
, “Benefits, Obstacles, and Future of Six Sigma Approach
,” Technovation
, 26
(5
), pp. 708
–715
.36.
Chowdhury
, S.
, 2002
, Design for Six Sigma
, Financial Times Prentice Hall
, Upper Saddle River, NJ
.37.
Basem
, E.-H.
, 2008
, Design for Six Sigma: A Roadmap for Product Development
, McGraw-Hill
, New York
.38.
Shen
, W.
, 2016
, “Data-Driven Discovery of Models (D3M)
,” Defense Advanced Research Projects Agency, Arlington, VA.Copyright © 2017 by ASME
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