Access the full text.
Sign up today, get DeepDyve free for 14 days.
C. Lowry, D. Montgomery (1995)
A review of multivariate control chartsIie Transactions, 27
C.H Dagli
Expert system for selecting quality control charts
W. Kolarik (1995)
Creating quality : concepts, systems, strategies, and tools
K.C Kapur
Quality engineering and tolerance design
W.H Schmidt, J.P Finnigan
The Race without a Finish Line
C. Trappey, A. Trappey, Shuenn-jia Hwang (1996)
A computerized quality function deployment approach for retail servicesComputers & Industrial Engineering, 30
Matti Kaulio (1997)
Customer-Focused Product Development. A Practice-Centered Perspective
R. Mason, Charles Champ, Nola Tracy, S. Wierda, John Young (1997)
Assessment of Multivariate Process Control TechniquesJournal of Quality Technology, 29
J. Jackson (1985)
Multivariate quality controlCommunications in Statistics-theory and Methods, 14
R. Hoerl, A. Palm (1992)
Discussion: integrating SPC and APCTechnometrics, 34
Liang-Hsuan Chen, Yiau-Hweui Chen (1996)
An intelligent interface between symbolic and numeric analysis tools required for the development of an integrated CAD systemComputers & Industrial Engineering, 30
P. Pisek (1998)
INCORPORATING THE TOOLS OF CREATIVITY INTO QUALITY MANAGEMENTQuality Progress, 31
D. Stamatis (1997)
TQM Engineering Handbook
S. Ho (1995)
Promoting TQM to small and medium industries in Malaysia
Cynthia Green (1994)
A Business Week Guide: The Quality Imperative
R. Mason, John Young (1999)
IMPROVING THE SENSITIVITY OF THE T2 STATISTIC IN MULTIVARIATE PROCESS CONTROLJournal of Quality Technology, 31
D. Montgomery, J. Keats, G. Runger, W. Messina (1994)
Integrating Statistical Process Control and Engineering Process ControlJournal of Quality Technology, 26
Adam (1992)
PRODUCTION OPERATIONS MANAGEMENT
N. Kano, N. Seraku, F. Takahashi, S. Tsuji (1984)
Attractive Quality and Must-Be QualityJOURNAL OF THE JAPANESE SOCIETY FOR QUALITY CONTROL, 14
G. Nedumaran, J. Pignatiello (1998)
Diagnosing Signals from T2 and Chi-Squared Multivariate Control ChartsQuality Engineering, 10
A. Feigenbaum (1961)
Total quality control
D. Montgomery (1985)
Introduction to Statistical Quality Control
K. Lindsey (1996)
A Decision Support Model for Large Systems Using Quality Function Deployment and Goal Programming: A Capital Budgeting Problem
E. Dar-El (1997)
What we really need is TPQMInternational Journal of Production Economics, 52
Erling Andersen (1985)
Total quality control, 3rd edn., Armand V. Feigenbaum, McGraw‐Hill, New York, 1983. No. of pages: 852. Price: $39.50
(1993)
`̀ Quality engineering and tolerance design'' in Kusiak, K. (Ed.), Concurrent Engineering: Automation, Tools, and Techniques
B.G Dale, P Shaw
Statistical process control: an examination of some queries
(1991)
`̀ On-line quality control for the factory of the 1990s and beyond'
L.E. Farmer
Customer focused product development
P.J Ross
The role of Taguchi methods and design of experiments in QFD’
L. Khoo, N. Ho (1996)
Framework of a fuzzy quality function deployment systemInternational Journal of Production Research, 34
W. Schmidt, J. Finnigan (1992)
The Race Without a Finish Line: America's Quest for Total Quality (Jossey-Bass Management Series)
C.Z Yun, Y.W Yong, L Loh
The Quest for Global Quality: A Manifestation of Total Quality Management by Singapore Airlines
G. Box, T. Kramer (1992)
Statistical process monitoring and feedback adjustment: a discussionTechnometrics, 34
M. Wood (1994)
Statistical methods for monitoring service processesInternational Journal of Service Industry Management, 5
D. Besterfield (1979)
Quality control
G. Watson (1998)
Digital Hammers and Electronic Nails— Tools of the Next GenerationQuality Progress, 31
Joseph Juran (1988)
Juran on planning for quality
P. Crosby (1979)
Quality Is Free: The Art of Making Quality Certain
(1995)
`̀ The engineering of market driven product attributes using a fuzzy inference approach'
R. Fricker (1997)
Statistical Problem Solving in Quality EngineeringTechnometrics, 39
C. Quesenberry (1991)
DPV Q charts for start-up processes and short or long runsQuality Engineering, 36
V. Sriraman, Phadhana Tosirisuk, H. Chu (1990)
Object-oriented databases for quality function deployment and Taguchi methods, 19
(1995)
`̀ The analysis of customer requirements for effective rationalisation of product attributes in manufacturing'
M. Phadke (1989)
Quality Engineering Using Robust Design
D. Pham, E. Oztemel (1993)
Control Chart Pattern Recognition Using Combinations of Multi-Layer Perceptrons and Learning-Vector-Quantization Neural NetworksProceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 207
田口 玄一 (1986)
Introduction to quality engineering : designing quality into products and processes
(1988)
`̀ Expert system for selecting quality control charts'', in Kusiak, A. (Ed.), Expert Systems: Strategies and Solutions in Manufacturing Design and Planning
(1995)
`̀ Implementing quality function deployment and comparison to traditional programming in a health care facility'
(1988)
`̀ The role of Taguchi methods and design of experiments in QFD'', Quality Progress, June
G. Nedumaran, J. Pignatiello (1998)
DIAGNOSING SIGNALS FROM T 2 AND χ2 MULTIVARIATE CONTROL CHARTSQuality Engineering, 10
E. Sachs, A. Hu, Ármann Ingólfsson (1995)
Run by run process control: combining SPC and feedback controlIEEE Transactions on Semiconductor Manufacturing, 8
B. Adams (1994)
The Multivariate Control WebQuality Engineering, 6
L. Tong, C. Su (1997)
OPTIMIZING MULTI‐RESPONSE PROBLEMS IN THE TAGUCHI METHOD BY FUZZY MULTIPLE ATTRIBUTE DECISION MAKINGQuality and Reliability Engineering International, 13
H. Siriwardane (1995)
A study of activity-based costing in small manufacturing companies : a quality function deployment framework to guide implementation
George Tagaras (1998)
A Survey of Recent Developments in the Design of Adaptive Control ChartsJournal of Quality Technology, 30
Chuanching Ho, K. Case (1994)
Economic Design of Control Charts: A Literature Review for 1981–1991Journal of Quality Technology, 26
T. Bement (1995)
Taguchi techniques for quality engineering
A. Bendell, J. Disney, W. Pridmore (1989)
Taguchi methods : applications in world industry
(1995)
`̀ The application of fuzzy logic to the quality function deployment house of quality'', unpublished MSE dissertation, University of Alabama, Huntsville, AL
D. Montgomery (1980)
The Economic Design of Control Charts: A Review and Literature SurveyJournal of Quality Technology, 12
A. Al-Ghanim (1997)
An unsupervised learning neural algorithm for identifying process behavior on control charts and a comparison with supervised learning approachesComputers & Industrial Engineering, 32
Shiou-Yi Lin, Young-Jou Lai, Shing Chang (1997)
Short-run statistical process control : Multicriteria part family formationQuality and Reliability Engineering International, 13
B. Dale, Peter Shaw (1991)
Statistical process control: An examination of some common queriesInternational Journal of Production Economics, 22
R. Mason, Nola Tracy, John Young (1995)
Decomposition of T2 for Multivariate Control Chart InterpretationJournal of Quality Technology, 27
(1996)
Design and Analysis of Experiments, 4th ed
(1996)
`̀ A design procedure for a robust job shop manufacturing system under constraint using computer simulation experiments'
Chuen-Sheng Cheng (1997)
A NEURAL NETWORK APPROACH FOR THE ANALYSIS OF CONTROL CHART PATTERNSInternational Journal of Production Research, 35
Stephen Haag, M. Raja, L. Schkade (1996)
Quality function deployment usage in software developmentCommun. ACM, 39
W.E Deming
Out of Crisis
C. Olbon
The application of fuzzy logic to the quality function deployment house of quality
E. Tsacle, N. Aly (1996)
An expert systems model for implementing statistical process control in the health care industry, 31
J. Sheesley (1988)
Quality Engineering in Production Systems
H Noori
Workshop on Managing the Dynamics of New Technology: Issues in Manufacturing Management
Lonnie Vance (1983)
Bibliography of Statistical Quality Control Chart Techniques, 1970-1980Journal of Quality Technology, 15
C. Fuchs, Y. Benjamini (1994)
Multivariate Profile Charts for Statistical Process ControlTechnometrics, 36
D. Pham, Ercan Öztemel (1996)
Intelligent quality systems
P. Reddy, K. Nishina, A. Babu (1997)
Unification of robust design and goal programming for multiresponse optimization : A case studyQuality and Reliability Engineering International, 13
(1993)
`̀ Using fuzzy set theory to derive an overall customer satisfaction index'
J. Keats, Enrique Castillo, E. Collani, Erwin Saniga (1997)
Economic Modeling for Statistical Process ControlJournal of Quality Technology, 29
Thomas Kazmierski (1995)
Statistical Problem Solving in Quality Engineering
G. Taguchi (1986)
Introduction to quality engineering. designing quality into products a
T. Spedding, M. Chandrashekar (1997)
A Discrete Event Simulation Environment for Statistical Process Control
R. Sauter (1992)
Introduction to Statistical Quality Control (2nd ed.)Technometrics, 34
G. Taguchi (1985)
Quality engineering in japanCommunications in Statistics-theory and Methods, 14
O. Atienza, L. Tang, B. Ang (1998)
QUALITY NOTES: Simultaneous monitoring of univariate and multivariate SPC information using boxplotsInternational Journal of Quality Science, 3
L. Yorks, G. Bounds (1994)
Beyond Total Quality Management: Toward The Emerging Paradigm
N. Subramanyam, A. Houshmand (1995)
SIMULTANEOUS REPRESENTATION OF MULTIVARIATE AND CORRESPONDING UNIVARIATE X¯ CHARTS USING LINE-GRAPHQuality Engineering, 7
(1995)
`̀ A method to incorporate optimization and fuzzy information in quality function deployment (customer requirements)'
L. Chan, B. Macpherson, Peter Xiao (1996)
Standardized p control charts for short runsInternational Journal of Quality & Reliability Management, 13
O.O Atienza, L.C Tang, B.W Ang
Simultaneous monitoring of univariate and multivaraite SPC information using boxplots
M. Janakiram, J. Keats (1998)
Combining SPC and EPC in a Hybrid IndustryJournal of Quality Technology, 30
A. Palm, Robert Rodriguez, F. Spiring, D. Wheeler (1997)
Some Perspectives and Challenges for Control Chart MethodsJournal of Quality Technology, 29
V. Sower, J. Motwani, Michael Savoie (1994)
β Charts for Short Run Statistical Process ControlInternational Journal of Quality & Reliability Management, 11
T. Oswald (1995)
A Model for Using Quality Function Deployment in Engineering Project Development
I. Mezgár, Cs. Egresits, L. Monostori (1997)
Design and real-time reconfiguration of robust manufacturing systems by using design of experiments and artificial neural networksComputers in Industry, 33
D.C Montgomery
Design and Analysis of Experiments
R. Hoerl (1998)
SIX SIGMA AND THE FUTURE OF THE QUALITY PROFESSIONQuality Progress, 31
H. Noori (1990)
Managing the Dynamics of New Technology: Issues in Manufacturing Management
J. Oakland (2018)
Statistical Process Control
A. Shekhar (1996)
A customer-driven information decomposition and control system
The field of quality has undergone significant changes as reflected by changes in its definition, paradigms, approaches, techniques, and scope of application. This paper reviews emerging trends and issues focusing on quality engineering. Changes in customer expectation have driven the changes in the technology of design and manufacturing, which is becoming more important in satisfying individual customer expectations. This also calls for special attention to the engineering aspects of quality. Brief reviews on recent advances in the prominent quality tools such as statistical process control, quality function deployment, and design of experiment are reported. General trends in quality engineering research show the tools are being enhanced, integrated, computerized and broaden their application bases, where possible opportunities for further investigation are indicated. Among others these include contributions in multiple‐response optimization, intelligent quality systems, multivariate SPC, and practical and simple guidelines for actual implementation of various tools.
International Journal of Quality & Reliability Management – Emerald Publishing
Published: Nov 1, 2000
Keywords: Quality; Techniques; Statistical process control
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.