The 2010 special edition continues the series of ENBIS issues at QREI. It is a very particular special issue, appearing on the occasion of ENBIS' 10th anniversary. ENBIS was founded in December 2000, adopting the subsequent objectives:
To promote the widespread use of sound science driven, applied statistical methods in European business and industry.
To emphasize multidisciplinary problem solving involving statistics.
To facilitate the rapid transfer of statistical methods and related technologies to and from business and industry.
To link academic teaching and research in statistics with industrial and business practice.
To facilitate and sponsor continuing professional development.
To keep its membership up to date in the field of statistics and related technologies.
ENBIS has grown rapidly over its first decade, currently having about 1400 members, with a good mix of members from industry and academia.
The rapid and efficient dissemination of recent advances in business and industrial statistics to a wide audience is an ENBIS core objective, pursued by two major vehicles: the annual congress and publications resulting from presentations at the congress. In this respect, the series of QREI special issues, which was started in 2004, has become an important asset. Each year, the special issue provides a condensed overview of recent prominent research and development presented at the previous year's ENBIS annual congress.
On the occasion of ENBIS's anniversary, the 2010 special issue starts with a brief reflection on the present state and future perspectives of business and industrial statistics by H. Wynn and I. Ograjenšek, also highlighting memorable events of ENBIS's first decade. Eleven further articles, emerging from the best papers presented at the 2009 congress in Göteborg, illustrate the many facets of contemporary research and practice of statistics in industry: process monitoring and control, human error modeling, application in renewable energy, life and reliability testing, risk analysis, inventory management, data classification techniques.
All submissions have been fully refereed by two reviewers. The reviewers have done an exemplary job, challenging the authors' endeavours to refine and polish their presentations, insisting on clarity and accessibility to the readership. The attitude and cooperativeness of the authors were excellent. It has been a pleasure editing this special issue. May the series continue over the second decade of ENBIS.