ENBIS-14 in Linz

21 – 25 September 2014; Johannes Kepler University, Linz, Austria Abstract submission: 23 January – 22 June 2014

ENBIS – the European Network for Business and Industrial Statistics – is a platform where statistical practitioners and academic statisticians from Europe and beyond meet, exchange ideas and design new projects. ENBIS sponsors an annual conference and numerous additional events, many of them web-based.

The annual conference takes place every September and features presentations from a wide variety of sectors, ranging from manufacturing to service, from private to public sector. The ENBIS-14 conference has been held on 22-24 September 2014 in Linz, Austria.

The ENBIS-14 Programme Committee members are:

  • Marco S. Reis, University of Coimbra, Portugal (Chair).
  • Jacqueline Asscher, Kinneret College, Israel.
  • Alessandro Di Bucchianico, Eindhoven University of Technology, The Netherlands.
  • Antje Christensen, Novo Nordisk, Denmark.
  • Rainer Göb, University of Würzburg, Germany.
  • Sonja Kuhnt, Dortmund University of Applied Sciences and Arts, Germany.
  • Werner Mueller, Johannes Kepler University, Austria.
  • Christian Ritter, Ritter and Danielson Consulting, Belgium.
  • David Steinberg, Tel Aviv University, Israel.
  • Xavier Tort-Martorell, Polytechnic University of Catalonia, Spain.

The ENBIS-14 Organizing Committee members are:

  • Helmut Waldl, Johannes Kepler University, Austria (Chair).
  • Nikolaus Haselgruber, CIS consulting in industrial statistics GmbH, Austria.
  • Werner G. Müller, Johannes Kepler University, Austria.
  • Eva Benková, Johannes Kepler University, Austria.
  • Christine Duller, Johannes Kepler University, Austria.
  • Andreas Futschik, Johannes Kepler University, Austria.
  • Bettina Grün, Johannes Kepler University, Austria.
  • Markus Hainy, Johannes Kepler University, Austria.
  • Philipp Hermann, Johannes Kepler University, Austria.
  • Gabriele Mack-Niederleitner, Johannes Kepler University, Austria.
  • Gertraud Malsiner Walli, Johannes Kepler University, Austria.
  • Daniela Pauger, Johannes Kepler University, Austria.
  • Elisa Perrone, Johannes Kepler University, Austria.
  • Andreas Quatember, Johannes Kepler University, Austria.
  • Katharina Sallinger, Johannes Kepler University, Austria.
  • Helga Wagner, Johannes Kepler University, Austria.
  • Margarete Wolfesberger, Johannes Kepler University, Austria.
  • Alessandro Di Bucchianico, Eindhoven University of Technology, The Netherlands.
  • Kristina Lurz, prognostica GmbH, Germany.
  • Irena Ograjenšek, University of Ljubljana, Slovenia.

A number of distinguished keynote speakers will give plenary talks at ENBIS-14. The conference programme further includes invited and contributed sessions, workshops and panel discussions, as well as short pre- and post-conference courses. Among the confirmed keynote speakers for ENBIS-14 are:

  • William Meeker, Iowa State University (USA)
  • Enrique del Castillo, Penn State University (USA)
  • Luigi del Re, Johannes Kepler University (AU)

The pre- and post-conference courses and events are to be booked separately from the main event. The list includes:

The ENBIS-14 Programme Committee invites you to present talks or posters. Contributions can consist of advances in scientific research, overviews and introductions (presenting an area of expertise to the uninitiated), and best practice examples (sharing experiences of practitioners). The deadline for submissions is April 30th, 2014.

A special number of Quality and Reliability Engineering International (QREI) will feature selected papers presented in ENBIS-14.

Authors are invited to upload the full article and/or slides for their talks, which will appear on the conference CD, until 15 August 2014.

Session topics include but are not limited to the following areas:

-      Design of physical  & computer experiments -      Statistical engineering
-      Measurement uncertainty -      Time series modeling and forecasting
-      Process modeling and control -      Process improvement in healthcare
-      Reliability and safety -      Operations research and management
-      Operational risk management -      Analysis of massive data sets
-      Data mining and warehousing -      Risk analysis and assessment
-      Statistical computing -      Business analytics
-      Statistics in the pharmaceutical industry -      Teaching business and industrial statistics
-      Quality improvement and Six Sigma -      Statistical process control