ENBIS: European Network for Business and Industrial Statistics
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ENBIS12 in Ljubljana
9 – 13 September 2012 Abstract submission: 15 January – 10 May 2012The following abstracts have been accepted for this event:

Extracting a Product’s Mission Profile from Historical Data Sources
Authors: Tom Delesie (Philips Innovative Applications), Joost Van Der Eyden (Philips Innovative Applications), Jan Pieter Dekker (Philips Innovative Applications), Piet Watté (Philips Innovative Applications)
Primary area of focus / application: Reliability
Keywords: Reliability Centered Maintenance, Markov Chain, Mission profile, Field Return
Submitted at 13Apr2012 16:08 by Tom Delesie
Accepted
To correctly estimate the maintenance routine new products, the design engineer requires a sufficiently accurate mission profile of the product in the field. From historical data of similar products, it is possible to come to good estimate for the mission profile, allowing for a probability density function to be constructed.
In this paper, a case is presented in which the available historical data provides an excellent data source to estimate the mission profile of the product. Field return data is used to construct a probability density function and through Markov Chain simulation, an estimate for the mean and standard deviation of the mission profile is calculated. 
Reasons for Not Using Factorial Experimental Designs
Authors: Bjarne Bergquist (Luleå University of Technology)
Primary area of focus / application: Education & Thinking
Keywords: Design of Experiments, implementation, industrial Use, process industry, statistical thinking
Submitted at 13Apr2012 17:09 by Bjarne Bergquist
Accepted

A Time Series Analysis Approach to Analyze TwoLevel Factorial Designs Affected by Disturbances
Authors: Peder Lundkvist (Luleå University), Erik Vanhatalo (Luleå University)
Primary area of focus / application: Design and analysis of experiments
Keywords: experimental design and analysis, factorial experiments, blast furnace experiments, times series analysis, transfer functionnoise modeling
Submitted at 13Apr2012 17:27 by Erik Vanhatalo
Accepted
The purpose of the presentation is to propose and illustrate a method to analyze a small twolevel factorial design performed in a continuous process where operational problems affected several of the experimental runs and the resulting response time series.
The presentation outlines a time series analysis approach to analyze a twolevel factorial design performed in a blast furnace where operational problems affected several of the experimental runs. In particular, the presentation illustrates how transfer functionnoise modeling can be used to analyze a twolevel factorial experiment after first filtering out the disturbances from the original time series response. The results are compared with those from a more ‘traditional’ analysis using averages of the response in each run as the single response in an analysis of variance (ANOVA). 
Data Analysis for Condition Based Railway Maintenance
Authors: Bjarne Bergquist (Luleå University of Technology), Peter Söderholm (The Swedish Transport Administration)
Primary area of focus / application: Reliability
Keywords: Condition Based Maintenance, Time Series Analysis, Metrology, Model Building
Submitted at 13Apr2012 17:28 by Bjarne Bergquist
Accepted

On the Use of Partial versus Marginal Correlations in SPC
Authors: Tiago M. Rato (University of Coimbra), Marco S. Reis (University of Coimbra)
Primary area of focus / application: Process
Keywords: Statistical Process Control, Multivariate Systems, Partial Correlations, Marginal Correlations
References
Hotelling, H. (1931). "The Generalization of Student's Ratio." Annals of Mathematical Statistics 2(3): 360378.
Jackson, J. E. (1959). "Quality Control Methods for Several Related Variables." Technometrics 1(4): 359377. 
Rolling the Improvement Wheel in a Pharmaceutical Filling Plant
Authors: Antje Christensen (Novo Nordisk)
Primary area of focus / application: Six Sigma
Keywords: Lean Six Sigma, Process Improvement, Problem Solving, Shop Floor Management