Pro-ENBIS Publications Results

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Abstract

Work Package 1
1.1 Journal paper Optimal experiments for software production in the presence of a learning effect

Daniele Romano & Alessandra Giovagnoli

UCAG.DME (MB11)
UBLG.DSS (MB26)
Journal of Italian Statistical Society   Y Y

JISS - Journal of the Italian Statistical Society
Statistical Methods and Applications - The Journal of the Italian Statistical Society.

Abstract
1.2 Journal paper Quality improvement from the viewpoint of statistical method

Jeoren de Mast

UAM.IBIS (CR10)
Quality and Reliability Engineering International 19, Issue 4 pages 255-264) 19th August 2003 Y Y Journal: Abstract Abstract
1.3 Article Statistical modelling for more efficient processes (in Dutch)

R.J.M.M. Does & A. Trip

UAM.IBIS (CR10)
Kwaliteit in Praktijk F15, pp. 1-22 2003 Y Y Article  
1.5 Journal paper Multiresponse Robust Design: A General Framework Based on Combined Array

DANIELE ROMANO, Università delgi Studi di Cagliari (MB11), MARCO VARETTO and GRAZIA VICARIO, Politecnico di Torino, Turin, Italy (MB19)

UCAG.DME (MB11) PTRN.DSPEA (MB19)
Journal of Quality Technology 36, No. 1, January 2004 Y Y Article Abstract
1.6 Journal paper Pliska - Studia Mathematica Bulgaria Volume 14 2003 Proceedings of the seminar on statistical data analysis, Varna 2002

Guest Editor - D Vandez

BUSTATS (MB7)
Pliska - Studia Mathematica Bulgarica 2003 Y Y ISSN 0204-9805 Abstract
1.7 Article Some Aspects of Teaching Quality to Business Students Shirley Coleman UNEW.ISRU CO1, Christopher McCollin UTNOTT MB35, Oystein Evandt IPCONS CR27 MSOR Connections (Mathematics, Statistics and Operational Research) 2004 y N http://mathstore.ac.uk
1.8 Article RSS News Editorial Shirley Coleman UNEW.ISRU CO1 RSS News January 2005 Y Y Article  
1.9 Journal paper A Multi-scale Approcah to Functional Signature Analysis A Bucchianico EURAN.ISG (CR2), T Figarella, G Hulsken, M. H. Jansen & H.P. Wynn LSERS.STA (CR34) Quality and Reliability Engineering (Special edition edited by Shirley Coleman UNEW.ISRU (CO1) August 2004 Y Y gort.ucsd.edu/newjour/q/msg01720.html Nowadays, electronic products tend to be economically outdated before their technical end-of-life has been reached. The ability to analyze and predict the (remaining) technical life of a product would make it possible either to re-use sub-assemblies in the manufacture process of new products, or to design products for which the technical and economical life match. This requires models to predict and monitor performance degradation profiles. In this paper we report on designed experiments to obtain such models. We show how wavelet analysis can be used to extract features from electrical signals. These features are analyzed using the Analysis of Variance in order to establish relations between these features and performance degradation.
1.10 Journal paper End of Life Analysis Di Bucchianico EURAN.ISG (CR2), T. Figarella, M.H. Jansen, H. P. Wynn LSERS.STA (CR34), W. Bergsma Proceedings MMR2004 Mathematical Methods in Reliability Methodology and Practice June 2004 Y Y www.stat.lanl.gov/MMR2004/ Under the new European WEEE directive there will be strict limits for disposal of electrical goods to landfill. The area of analysis which takes into account the full life cycle of products and components is called ``end of life" analysis. The idea is that the economic life of components is longer than the life of the initial use. To use this inherent value and to meet such directives a radically new approach to recycling is needed. Modules, components or materials may be reused. This leads to a complex feedback to earlier stages of the supply chain. End of life analysis should predict the life of components with an objective testing for reuse. It can be considered as an extension of predictive maintenance and signature analysis in reliability. The ideal is to have cheap and fast tests on the basis of which decisions about reuse etc can be made. The implications for design are considerable.
1.11 Article Critique of the UK Lambert Report I A Napier and H.P Wynn LSERS.STA (CR34) Scientific Computing World 2004 Y Y    
Work Package 2
2.1 Journal paper Comparing non-manufacturing with traditional applications of Six Sigma R J M M Does, E R van den Heuvel, J de Mast & Soren Bisgaard
UAM.IBIS (CR10)

Invited expert Soren Bisgaard

Quality Engineering 15 (1) pp. 177-182
Print ISSN: 0898-2112
Online ISSN: 1532-4222
24th September 2002 Y Y Quality Engineering - Comparing Non manufacturing with Traditional Applications of Six Sigma Abstract
2.2 Journal paper A proposal for managing and engineering knowledge of stochastics in the quality movement

Ron Kenett, Maria Ramalhoto, John Shade

KPA (MB32)
IST.UMTE (CR5)
GDLT (MB20)

Published in the book "Safety and Reliability" Editors T. Bedford and P.H.A.J.M. van Gelder.

Publishers Balkema
ISBN: 90 5809 551 7

2003 Y Y Safety and Reliability  
2.3 Article Statistical models of web mining

Paolo Giudici

UPAV.EPMQ (MB36)
Business Breifing: Data management and storage technology 2003, CD-ROM reference section, London: Business Breifings Ltd 2003 2003 Y Y Business Briefing: Publication Information  
2.4 Article Opbrengst Six Sigma overtreft alle verwachtingen (Six Sigma: a challenge for health care)

R.J.M.M. Does, J. van den Heuvel & A.M.F. Koning

UAM.IBIS (CR10)
Kwaliteit in Beeld 2003(2), pp. 4-6 2003 Y Y    
2.5 Journal paper A data analytical approach to FMEA

A Di Bucchianico, J van den Bogaard & H Wynn

(EURAN.ISG) (CR2)
(LSERS.STA) (CR34)
Journal of Quality Technology 2004 Y N Journal  
Work Package 3
3.1 Journal paper Control Charts: a cost-optimisation approach for processes with random shifts

András Zempléni , Miklós Véber, Belmiro Duarte and Pedro Saraiva

UEOT.DPTS (MB15)
QUAL (MB8)
Journal of Applied Stochastic Models in Business & Industry         Abstract
3.2 Journal paper Establishing steel rail reliability by combining fatigue tests, factorial experiments and data transformations

D.J Stewardson, Maria Ramalhoto, L Da Silva, L Drewett

UNEW.ISRU (CO1)
IST.UMTE (CR5)

Published in the book "Safety and Reliability" Editors T. Bedford and P.H.A.J.M. van Gelder.

Publishers Balkema
ISBN: 90 5809 551 7

2003 Y Y Safety and Reliability Abstract
3.3 Journal paper Statistical Efficiency - The practical perspective

Ron S Kenett & Shirley Coleman & Dave Stewardson

KPA (MB32)
UNEW.ISRU (CO1)
Quality and Reliability Engineering International QREI (volume 19, Issue 4 pages 265-272) 19th August 2003 Y Y Abstract Abstract
3.4 Journal paper A Review of the Rate of Occurrence of Failures of the Non-Homogeneous Poisson Process

Chris McCollin

UTNOTT (MB35) Shirley Coleman UNEW.ISRU (CO1)
           
3.5 Journal paper A comparison of Shewhart individuals control charts based on normal, nonparametric, and extreme-value theory

M.B. Vermaat, R.A. Ion, R.J.M.M. Does & C.A.J. Klaassen

UAM.IBIS (CR10)
Quality and Reliability Engineering International 19, pp. 337-353. 2003 Y Y Special volume of ENBIS 2002 Abstract
3.6 Journal paper A scheme for industry - Academia interaction to enhance research and development issues

Antonio Pievatolo, Maria Ramalhoto, Oystein Evandt, Rainer Gob & Jukka Salmikuukka

CNR.AMI (MB23)
IST.UMTE (CR5)
IPCONS (CR27)
UWUERZ.II.CS (MB18)
VTT.A (MB25)

Published in the book "Safety and Reliability" Editors T. Bedford and P.H.A.J.M. van Gelder.

Publishers Balkema
ISBN: 90 5809 551 7
2003 Y Y Safety and Reliability  
3.7 Article Rimini with ENBIS and Pro-ENBIS

Tony Greenfield

GREENF.CC (CR6)
RSS News December 2002 Y Y RSS News  
3.8 Article Revenues of Six Sigma exceeds expectations (in Dutch)

A.M.F. Koning, R.J.M.M. Does & J. van den Heuvel

UAM.IBIS (CR10)
Kwaliteit in Bedrijf 19(3), pp. 6-10 2002 Y Y    
3.9 Article ENBIS: a network for discussion

Tony Greenfield

GREENF.CC (CR6)
RSS News June 2001 Y Y RSS News  
3.10 Article ENBIS in Oslo

Tony Greenfield

GREENF.CC (CR6)
RSS News December 2001 Y Y RSS News  
3.11 Journal paper Optimisation of a Brake Prototype as Consequence of a Successful DOE Training Lluis Marco UPC.SOR (CR3)and Juan Cuadrado (Robert Bosch Braking Systems); Xavier Tort-Martorell UPC.SOR (CR3) Quality and Reliability Engineering International QREI special edition edited by Shirley Coleman UNEW.ISRU (CO1) August 2004 Y Y gort.ucsd.edu/newjour/q/msg01720.html The purpose of this presentation is to explain our experience in a company that produces car brakes. Engineers in the company make research and implement changes in order to improve brake performance and conduct tests for checking if brakes fulfil standards. That is a company that can profit from an extensive use of applied statistics and up to this point they were only making limited use. They were aware of this and wanted to deepen their statistical skills. We organised a course with an overview of topics that both them and us thought will be useful (basic tools for improvement, process capability, reliability) but with a special focus on design of experiments. Those attending the course were highly motivated and received our explanations always having in mind that they will apply them. As part of the course we used both a simulator (wheels case, pro-ENBIS EC contract number G6RT-CT-2001-05059) and a real experiment to link practical action with theoretical lessons. They chose to experiment with a new prototype they had been working for the last weeks but not in such an organised way as they had just learnt. Before conducting the experiment, we expend time discussing and writing down all the previous knowledge they had. A 2^(5-1)factorial design was conducted. When analysing the results, we suspected of one result being anomalous. In order to confirm that suspicion some runs were repeated, and were sufficient to make the final conclusions. This first experience with DOE was successful and gave engineers the confidence to use design of experiments on a regular basis.
3.12 Journal paper Bayesian forecasting of delivery times Fabrizio Ruggeri CNR.AMI (MB23, Jesus Palomo, David Rios Insua URJC.GECD (MB13), Enrico Cagno, Franco Caron, Mauro Mancini, Andrea Alippi, Luca Gaddi Proceedings of the American Statistical Association, Section on Bayesian Statistical Science [CD-ROM] 2004 Y Y www.amstat.org/publications/index.cfm?fuseaction=main Forecasts of delivery times of components from subcontractors is becoming more and more important for engineering companies, which are required to build industrial plants not only at lower prices but also in shorter time than they used to do. We consider a Bayesian dynamic linear model, adapting a method, previously used in forecasting costs when bidding for industrial plants, in which external information, e.g. expert's opinion, is used.
Work Package 4
4.1 Journal paper Exploratory data analysis approaches to reliability: some new directions

C McCollin, Cornel Buena, Maria Ramalhoto

UTNOTT (MB35)
IST.UMTE (CR5)

Published in the book "Safety and Reliability" Editors T. Bedford and P.H.A.J.M. van Gelder.

Publishers Balkema
ISBN: 90 5809 551 7

2003 Y Y Safety and Reliability  
4.2 Journal paper Assessing part conformance by coordinate measuring machines

D Romano, G Vicario

UCAG.DME (MB11)
PTRN.DSPEA (MB19)

Published in the book "Safety and Reliability" Editors T. Bedford and P.H.A.J.M. van Gelder.

Publishers Balkema
ISBN: 90 5809 551 7

2003 Y Y Safety and Reliability Abstract
4.3 Article Statistiker kooperieren mit Firmen aus der region Wurzburg

Rainer Gob

UWUERZ.II.CS (MB18)
Bayerische Julius-Maximlians-Universitat Wurzburg 17th October 2002 Y Y Abstract  
4.4 Article Hochschulforum

Rainer Gob

UWUERZ.II.CS (MB18)
Prima Sonntag vom 27th October 2002 Y Y Abstract  
4.5 Article Uni an europaweitem Netzwerk beteiligt

Rainer Gob

UWUERZ.II.CS (MB18)
Main-Post vom 30th November 2002 Y Y Abstract  
4.6 Journal paper A Flowchart Approach to Problem Solving: Some Case Studies Chris McCollin UTNOTT (MB35), Dave Stewardson UNEW.ISRU (CO1), Maria Ramalhoto IST.UMTE (CR5) Alex Hiller International Journal of Quality and Reliability Management   Y N dandini.emeraldinsight.com/vl=8231847/cl=101/nw=1/rpsv/ijqrm.htm Purpose
Recent research on developing a structural approach to analysis of reliability data has been published in Walls and Bendell (1985); Thompson (1988); Ansell and Phillips 1989; Bastos, Martini et al (1990 and 1991); The Euredata Benchmark exercise: McCollin (1993); Lindqvist (1997) and Bunea, Cooke and Lindqvist (2002). This paper brings together these approaches and introduces some other aspects of reliability analysis, i.e. data manipulation prior to analysis and analysis of multivariate and covariate structures. Methodology/Approach
A methodology is proposed which incorporates this structure to aid the determination of the solution to root causes of problems. The methodology uses statistical hypothesis testing principles and well-known quality improvement and reliability techniques incorporated into a Shewhart PDSA cycle. Case studies have been presented in the fields of reliability analysis, steel design and process control. Findings/Practical implications
It can be seen from application of the proposed procedure to case study material that each analysis requires the aid of engineering and statistical judgment and knowledge to help identify structure. Originality/value of paper
The incorporation of this new approach within reliability and safety case methodology may attempt to aid the solution of ongoing problems and may be used during a project to aid a project manager in developing a closed loop solution to engineering problems.
4.7 Journal paper Variation Mode and Effect Analysis: A Practical Tool for Quality Improvement Johansson P. CUT.DTQM (MB24), Chakhunashvili A., Barone S. UNAP.DPA (MB30), Bergman B CUT.DTQM (MB24) Quality and Reliability Engineering International   N N gort.ucsd.edu/newjour/q/msg01720.html This paper describes a statistically based engineering method, Variation Mode and Effect Analysis (VMEA), that facilitates an understanding of variation and highlights the product/process areas in which improvement efforts should be targeted. An industrial application is also described to illustrate how the VMEA can be used for quality improvement purposes.
4.8 Journal paper A Little Known Robust Estimator of the Correlation Coefficient in the Bivariate Normal Distribution and a robust graphical test Oystein Evandt IPCONS (CR27), S.Y.Coleman UNEW.ISRU (CO1), M.F.Ramalhoto IST.UMTE (CR5) & C van Lottum UNEW.ISRU (CO1) Quality and Reliability Engineering International QREI special edition edited by Shirley Coleman UNEW.ISRU (CO1) August 2004 Y Y gort.ucsd.edu/newjour/q/msg01720.html

Abstract

Industrial and business data often contain outliers. The reasons why outliers occur can be unclear procedures for production tasks or measurement, operators who do not follow procedures, failure in production equipment or measurement equipment, wrong type of raw material, failure in raw material, registration errors or the fact that the response is influenced by many other factors as well as the available explanatory variables. Often there is no identifiable cause for the outliers and they are considered to be an intrinsic part of the dataset. Since data often are considered pairwise, and more methods for analysing pairwise data are available if the data generating process can be modelled by a bivariate normal distribution than otherwise, there is a need for a straightforward test of bivariate normality that is robust against outliers. This paper looks at a graphical test, based on probability plotting, for assessing if it is reasonable to assume that a bivariate dataset stems from an approximately bivariate normal distribution, where the possibility for outliers is taken into account. The robust graphical (Robug) test uses a little known estimator of the correlation coefficient, which is demonstrated to be robust against outliers. The graphical test is illustrated using data from our practical work. First the little known robust estimator of the correlation parameter in the bivariate normal distribution is compared with the traditional estimator, the product moment correlation coefficient, often called Pearson's r, and Spearman's rank correlation coefficient and Kendall's tau. The little known estimator is a transformation of Kendall's tau. The comparison is partly based on theory, partly on simulation of observations from the bivariate normal distribution. Conclusions are that, when outliers are not an issue, Pearson's r, Spearman's coefficient and the transformation of Kendall's tau do not perform very differently in terms of bias, standard deviation and RMSE (Root Mean Square Error), while Kendall's tau is too biased to be used for the purpose in question. Concerning robustness to outliers, Pearson's r is inferior to the other estimators. It seems likely that the transformation of Kendall's tau, which is far less well known than Pearson's r and Spearman's rank correlation coefficient, is at least as good as Spearman's coefficient when the possibility of outliers must be taken into consideration. Business and industrial improvement often requires the use of information that can be extracted from multivariate data. When the multivariate normal distribution can be used to model the data generating process, more methods are generally available for analysing the data, and providing predictions, than otherwise. Many datasets are naturally approximately multivariate normal (MVN) so that deviations from normality imply special causes. Thus, tests for MVN facilitate the detection of outliers. Considerable insight is gained by looking at the data singly or pairwise. Pairwise datasets that come from a process that can be modelled as MVN can be modelled by a bivariate normal distribution. The robust graphical test in this paper is therefore also useful for assessing whether a multivariate dataset comes from an approximate MVN distribution. The robust graphical test in this paper is therefore also useful for assessing whether a multivariate dataset comes from an approximate MVN distribution.
Work Package 7
7.1 Journal paper Quality Quandaries' A method for identifying which tolerance cause malfunction in assembled products

Soren Bisgaard & Poul Thyregod

Invited expert

DTH.IMMOD (MB22)
Quality engineering (Vol 15 No 4 pp 687-692) (ISSN 0898-2112) 1st June 2003 Y Y Quality Engineering - Quality Quandaries Abstract
7.2 Journal paper A methodological comparison of three strategies for quality improvement

Jeroen de Mast, R J M M Does

UAM.IBIS (CR10)
International journal of quality and reliability management (IJQRM)   Y Y IJQRM Volume 20 Issue 2 Abstract
7.3 Journal paper European Statistics Network grows rapidly: Aims to increase understanding, idea exchange, networking and professional development

S Bisgaard, R J M M Does & D J Stewardson

UNEW.ISRU (CO1)
UAM.IBIS (CR10)

Invited expert

Quality Progress 35/12/ pp.100-101 December 2002 Y Y

Quality Progress

Article

ASQ Version

 
7.4 Article ENBIS in Pro-ENBIS: priloznost za okrepitev sodelovanja evropskih poslovnih in industrijskih statistikov ter podjetij (in Slovenian)

Irena Ograjensek

ULJUBL.FE.SI (CR29)
Kakovost (Journal of the Slovenian Quality Association) March 2002 Y Y KAKOVOST/QUALITY

Article

 
7.5 Article ENBIS in Pro-ENBIS : priloznost za sistematicno pospesevanje razvoja poslovne in industrijske statistike v Evropi (in Slovenian)

Irena Ograjensek

ULJUBL.FE.SI (CR29)
Bilten Statisticnega drustva Slovenije (Bulletin of the Statistical Society of Slovenia) January 2003 Y Y ISSN 1408-3272

Article

 
7.6 Article Statistisch modelleren in de industrie Statistical modelling in industry

E.R. van den Heuvel, R.J.M.M. Does & A. Trip

UAM.IBIS (CR10)
Kwaliteit in Bedrijf 18(2), blz. 30-34 2002 Y Y    
7.7 Article Elk 'Six Sigma'-project levert 20.000 euro op. Revenue of each 'Six Sigma' project: 20,000 €

J. van den Heuvel, A.M.F. Koning & R.J.M.M. Does

UAM.IBIS (CR10)
Kwaliteit in Bedrijf 18(9), pp. 12-14 2002 Y Y    
7.8 Article Procesprestatieanalyse Process performance analysis

A. Trip & J de Mast

UAM.IBIS (CR10)
Kwaliteit in Praktijk F18, pp. 1-23 2003 Y Y    
7.9 Journal paper Qualitative Vs. Quantitative Methods Irena Ograjenšek and Poul Thyregod ULJUBL.FE.SI (CR29) DTH.IMMOD (MB22) Quality Progress January 2004 Y Y Journal Abstract
7.10 Journal paper De implementatie van Six Sigma in een ziekenhuis The implementation of Six Sigma in a hospital

J. van den Heuvel, A.M.F.Koning & R.J.M.M. Does

UAM.IBIS (CR10)
Kwaliteit in Bedrijf 2003 Y Y Article  
7.11 Journal paper Bayesian forecasting of delivery times Fabrizio Ruggeri, Jesus Palomo, David Rios Insua, Enrico Cagno, Franco Caron, Mauro Mancini, Andrea Alippi, Luca Gaddi UWUERZ.II.CS (MB23), URJC.GECD (MB13) 2004 Proceedings of the American Statistical Association, Section on Bayesian Statistical Science [CD-ROM], Alexandria, VA: American Statistical Association 2004 Y N ABSTRACT: Forecasts of delivery times of components from subcontractors is becoming more and more important for engineering companies, which are required to build industrial plants not only at lower prices but also in shorter time than they used to do. We consider a Bayesian dynamic linear model, adapting a method, previously used in forecasting costs when bidding for industrial plants, in which external information, e.g. expert's opinion, is used.
7.12 Article Danish Engineer receives international prize Poul Thyregod DTH.IMMOD (MB22) Ingenioren - weekly newsletter for Danish engineers. Circulation 68.000 printed copies. September 17th 2004 Y Y www.theworldpress.com/press/worldpress/denmarkpress/ingen.htm
Article
 
7.13 Article Optimization of enzyme production using statistical methods. Poul Thyregod DTH.IMMOD (MB22) Ingenioren - weekly newsletter for Danish engineers. Circulation 68.000 printed copies. ugust 13th 2004 Y Y www.theworldpress.com/press/worldpress/denmarkpress/ingen.htm
Article
 
7.14 Article Top managements tool for innovation. Poul Thyregod DTH.IMMOD (MB22) Boersen - daily newspaper, a danish equivalent of Financial Times. circulation 66.000 printed copies September 28th 2004 Y Y borsen.dk/
Article