|Rey Juan Carlos (URJC)||Sindahl (BSC)||Eötvös Loránd||Ricardo|
|Wurzburg||Torino (DSPEA)||Good Decision (GDL)||UNICAN|
|CNR-IMATI||Chalmers Univ||VTT Finland||Bologna|
|UniBW||NTNU||Tech Univ Denmark (DTU)||UNDPA|
We are mainly interested in the solution of complex inference and decision making problems, providing innovative solutions in areas like forecasting, decision modeling, optimization, simulation,... usually leading to Decision Support Systems. We are specially interested in Bayesian and machine learning techniques. The group leads the ESF funded network on Internet Based Complex Decision Support and has participated in several EU projects (MOIRA, BayOff, ...). This is a multidisciplinary group with background in areas such as Statistics, Operations Research, Industrial Engineering, Computer Science, Economics, Artificial Intelligence and Mathematical Engineering.
DSPEA (Dipartimento di Sistemi di Produzione ed Economia dell'Azienda) covers teaching, research and consulting in such areas as production engineering, applied statistics, management and economy. Special interests within WP 1: experiments in industry aimed at improvement of product and process, "hands on" introduction of DOE methods to industrial teams enabling them to pursue investigations on their own.
We analyse data, decisions, and processes for our clients. We also provide training and software. Areas of special expertise include process monitoring and adjustment, multifactor experiments, measurement systems analysis, basic applied statistics, computer simulation, use of the analytic hierarchy process, and six-sigma training.
Time series, SPC, Statistical process adjustment, Regression.
Location: Budapest, Hungary
Contact: A. Zempléni
Primary workpackages: WP3, interested in WP2, WP4, WP7
Key words: Bayesian statistics, statistical process control, time series, environmental applications
The department has a wide interest, ranging from probability theory to applied statistics. In the field of statistics we have results in spatial-temporal modeling, including Bayesian approach. We have a small consulting group, too.
Main research interests: Design of Experiments (J. Statist. Planning and Inf. 1980, 1987, 1998; Biometrika, 1983, 1987, 1996; Comp.Statistics Data Analysis 1989) and Order Relations in Statistics (Linear Algebra Appl. 1985, 1990, 1996; IMS Lecture Notes 1991; Statist. Prob. Lett. 1993, 1995). A recent interest is sequential experiments. Also actively involved in bio-medical and technological applications of statistics.
VTT Technical Research Centre of Finland is a contract research
organisation involved in many international assignments. With its more
than 3000 employees, VTT provides a wide range of technology and
applied research services for its clients, private companies,
institutions and the public sector. Through creating and applying
technology, we actively enhance the competitiveness of industry and
other business sectors, and thus increase the welfare of society.
VTT Industrial Systems is one of VTT's six Research Institutes. It has about 600 experts of whom about 60 % have an academic degree. The Institute's activities are focused on developing and applying high technology for products, production systems and related services. Our customers are coming from metals, manufacturing, electronics, energy and process industries. The Research Institute is situated in Helsinki, Tampere and Lappeenranta.
Location: Milan, Italy
Contacts: Antonio Pievatolo, Fabrizio Ruggeri and Carla Brambilla
Key words: Reliability, Data Mining, Classification and regression methods.
Primary workpackages: WP2, WP4
CNR-IMATI, born from the union of CNR-IAMI (Milano), CNR-IAN (Pavia) and CNR-IMA (Genova), started on 15 March 2002. It has now 38 research employees, whereas the whole CNR has 3500. At the Milan branch, some of the main research fields are classification and regression methods, computational statistics, Bayesian decision methods, and stochastic processes, with applications to image classification, model based decision making, and system reliability and quality.
The Chair of Statistics is a unit in the Department of Mathematics and Computer Science. It intends to promote industrial statistics in teaching, research, and consulting. Interests are SPC, SPC in finance, SPC-EPC integration, economic forcasting. The present main objective is to establish a statistical consulting unit as a service for the regional industry.
Contact: Poul Thyregod
Primary workpackages: WP6, WP7
IMM is a Department of the Technical University of Denmark, situated in Lyngby, Denmark. IMM is engaged in activities covering computer science, information processing and data analysis with focus upon applications in industry and engineering sciences. Core competencies in data analysis and statistical engineering including process regulation and monitoring, image analysis and digital signal processing.
The Department of Mechanical Engineering has a long-standing expertise in a spectrum of fields, such as machine design, energy and environment, innovative materials, manufacturing and production technologies, quality engineering and management, plant engineering. In particular, the mission of the Quality Group is the diffusion of the culture of quality in both product and service sectors, focusing on local SMEs and public organisations.
QUAL is one of the leading Quality Management consulting companies in Portugal. With a turnover of about 500 000 EURO in 2001 and 6 full time consultants, QUAL tries to provide a full set of services in the quality field, including the application of applied statistics for process improvement and optimisation.
KPA Ltd. is a management consulting firm with four main areas of
1. Strategic Planning - including real option models, balance scorecards and scenario evaluation.
2. Market Research - including internet based surveys, laddering, quantitative and qualitative analysis.
3. Organizational Development - including manager development programs, performance appraisal systems and employee surveys.
4. Statistical Consulting - including Design of Experiments, Statistical Process Control and advanced Industrial Statistics.
The company is involved in Six Sigma initiatives, setting up of comprehensive management systems, cost reduction efforts and specialized statistical analysis in biotechnology, nanocomposites and simulation applications.
Math-X is a consultant company founded in 1988 providing statistical support for Industry and Service companies at European level. The company is involved in the development of new products (R&D), optimisation of process(Industry) and major business decision. the company has also developed closed contacts with Belgian Universities.
Contacts: Bo Bergman, Per Johansson
During the past decade, quality has become an increasingly important concept in organizational development both in industry and in the public sector. The principles that are utilized have been summarized under a number of different headings including Total Quality Management, six sigma programs, Total Process Management and so on. At the department, one research theme utilizes reflective and interpretative studies of quality improvement in organizations and their driving and inhibiting factors, as well as their results, utilizing an essentially social science perspective; what Deming called Profound knowledge is an important basis. Another research theme is the development of methodologies in support of quality improvement activities in organizations. Especially, handling of variation is important both in product development and in the manufacturing areas. Marketing research, Robust Design Methodology, Reliability Engineering, Software Engineering, Tolerance Design and Statistical Process Control are important specialities. This research is based to a large extent on industrial statistics. We are striving to unite these two different research themes. We are planning for an International Masters Program on Quality Technology and Management to be launched 2004.
Ahlemeyer-Stubbe Database Management is a consulting company (founded in 1999) specialized on Customer Relationship Management and Database Marketing. The core competence includes also Data Mining, Data Warehouseing, Online Analytical Processing (OLAP), Campaign Management and Marketing Automation. The range of projects goes from developing customer loyalty programs until conception of Data Warehouses and calculating scorecards for several targetgroups by using Data Mining methods.
The Bulgarian Statistical Society represents people interested mainly in Mathematical Statistics and Education of Statistics. It has also some activities in consulting, harmonization of european statistical standards, organizing conferences - e.g. stabil.fmi.uni-sofia.bg.
Ricardo is a leading engineering technology provider, undertaking research, design and development services to the world's automotive manufacturers. Ricardo employ 1300 people worldwide, the majority in Europe at our UK, Germany & Czech Republic sites. Ricardo has been applying DoE to engine development for over 30 years, and is currently leading a major automotive consortium to develop new tools & techniques.
Contact: John Tyssedal
The Department of Mathematical sciences has currently about 25 full professors and 20 associate professors. Each year about 50 students receives their master in mathematical sciences from the department, about 80% of these in the Industrial Mathematics program. The number of ph.d. students is about 30. The department is divided into 2 groups, one in mathematics and one in statistics. As comes to research activity in the statistics group it may be divided into three area: Biostatistics, Spatial and Computational statistics and Industrial statistics including reliability analysis and experimental design.
B. Sindahl Consulting is an independent consultant company providing statistical consulting services with expertise in the areas of Six Sigma training and coaching, Customer Relations Management (statistical model building), and statistical SAS programming.
Contacts: Pasquale Erto, Stefano Barone
The group (founded and leaded by prof. Pasquale Erto) is composed of
four professors and four researchers. The research activity is mainly
- Experimental analysis and stochastic modelling of natural, technological and economic phenomena;
- Reliability estimation and evaluation from field data;
- Solution of unsolved problems of classical and bayesian estimation in survival distributions and stochastic processes;
- Quality improvement of new products and processes in development phases;
- Service Quality modelling and analysis;
- RAMS design, evaluation and management in aerospace sector;
A PhD program in Total Quality Management started up at the Department in 1996. Active courses provided at undergraduate level are: Statistics and Calculus of Probability, Reliability Theory, Statistical Methods for Quality Control, Fundamentals and Methods of Engineering Design. The group co-operates with Italian big industries and many SMEs are also in contact thanks to the collaboration with AICQ (Italian Association for Quality Culture).
Main interests are Multi-Objective-Optimization, Experimental Design and Data-Mining and Managing.
The faculty members of the department of Statistics are active in a vast variety of statistical applications that include financial modelling, risk management, quality control, data mining, etc. For more information please visit the staff individual web pages.include 'footerx.html' ?>