ENBIS: European Network for Business and Industrial Statistics
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ENBIS13 in Ankara
15 – 19 September 2013 Abstract submission: 5 February – 5 June 2013The following abstracts have been accepted for this event:

Practical DOE “Tricks of the Trade”
Authors: Pat Whitcomb (StatEase, Inc.)
Primary area of focus / application: Design and analysis of experiments
Keywords: DOE, Capability, POE, Biascorrection
 Using standard error to constrain optimization
 Employing Cpk (or Ppk) to optimize your DOE
 Combining categoric factors to avoid improbable combinations
 Applying mean bias correction to a transformed response
Get ready for some practical advice on DOE that will enhance your use and/or consulting on this powerful statistical tool. 
A Lean Six Sigma Journey at the University of Strathclyde: Results Achieved to Date, Key Lessons Learned and Future Directions
Authors: Jiju Antony (University of Strathclyde), Shirley Coleman (Newcastle University)
Primary area of focus / application: Six Sigma
Keywords: Lean, Six Sigma, Lean Six Sigma, Higher education, Process excellence, DMAIC, Business process improvement
The purpose of the paper is to critically evaluate Lean Six Sigma (LSS) as a powerful business improvement methodology for improving the efficiency and effectiveness of Higher Education Institutions (HEIs). The paper will explore the fundamental challenges and critical success factors encountered in the introduction and development of LSS at the University of Strathclyde, Glasgow, Scotland. The paper will then present the role of tools and techniques for the sustainability of this initiative for making the HEIs (in general) more efficient and effective. The final part of the paper will illustrate the type of projects completed by the staff members at the University of Strathclyde as part of the LSS journey. This paper makes an attempt to remove the myth that LSS is confined to manufacturing. It also demonstrates through relevant existing literature and authors’ experiences that LSS is equally applicable to public sector organisations and in particular HEIs. Although Lean has been adopted by few HEIs in the UK and abroad, very few HEIs have adopted the integrated LSS approach for waste reduction and variability reduction which leads to superior performance and enhanced student satisfaction. 
Optimal Designs for the Gaussian Processes Model via Spectral Decomposition
Authors: Ofir Harari (Tel Aviv University), David M. Steinberg (Tel Aviv University)
Primary area of focus / application: Design and analysis of experiments
Keywords: Gaussian process, Computer experiments, Minimum IMSPE, KarhunenLoeve

PhaseI Analysis of TimeDependent Counts with Missing Observations
Authors: Christian Weiß (Darmstadt University of Technology, Department of Mathematics, Darmstadt), Murat Caner Testik (Hacettepe University, Industrial Engineering Department, Ankara)
Primary area of focus / application: Process
Keywords: Attributes control charts, Poisson INAR(1) model, Binomial AR(1) model, Phase I analysis, Parameter estimation, Missing observations, Outliers
Submitted at 28Mar2013 08:22 by Christian Weiß
Accepted
If the incontrol data are assumed to stem from a timedependent (though stationary) process, then missing observations severely affect the process of parameter estimation. We consider the case of a Poisson INAR(1) process and a binomial AR(1) process, where the monitored attributes have a first order autoregressive dependence structure. We describe approaches of how to estimate the model parameters in the case of missing observations, and we analyze the performance of these estimators in simulation experiments. Then the ARL performance of some control charts based on such estimated parameters is investigated, also in the case when outliers are not removed from the Phase I data. A realdata example is considered for illustrative purposes. 
Recommendations on Kaizen Kobetsu and Six Sigma Implementations from an Industrial Perspective
Authors: Mustafa Konuk (Boytaş Mobilya SAN. TİC. A.Ş)
Primary area of focus / application: Six Sigma
Keywords: Six Sigma, Kaizen kobetsu, Process improvement, Variability

Weibull Analysis with Heavily Censored Data
Authors: Nikolaus Haselgruber (CIS Consulting in Industrial Statistics)
Primary area of focus / application: Reliability
Keywords: Reliability, Warranty analysis, Weibull, Censored data
This presentation discusses the effects of heavily censored data on the parameter estimation of the Weibull distribution. It should provide a guidline about what aspects to consider when the question about lifetime estimation based on warranty data is raised.