Scientific methods and techniques of Statistical Quality Control (7 Hours)
The strategic importance of quality has emerged, in recent years, as one of the most decisive factors for the success of products and services in the market. Although companies have realized the competitive advantage witch they gain through quality, they have not understood, to a similar extent, the use and utilization of scientific methods through which it is possible to achieve high quality. In this context, the science of Statistics offers important tools for the effective operation of all modern quality control systems.
Seminar abstract: The main scientific methods and techniques of statistical quality control will be presented with special emphasis on their practical application. Initially, the presentation will focus on production process control techniques, which aim to prevent the production of defective products, while the most recent trends in the field of quality will be mentioned with an emphasis on: i) the use of statistical experiments for the optimal choice of values of controlled product parameters and production processes and ii) the Six Sigma technique.
Seminar Subjects:
– Introduction to acceptance testing and ELOT sampling schemes
– Statistical Process Control: the basic control charts
– Capability Indices
– Six sigma
– Analysis of Variance (ANOVA)
– Factorial Experiments 2^f
– Factorial Experiments 3^f
– Non-parametric analysis of variance (time permitting)
Who should attend: students and researchers who want to deepen their knowledge of quality assurance issues with scientific techniques directly applicable to production systems.
Prior Knowledge: Basic concepts of statistics
Participation Fee: 20 Euros (students), 40 Euros (non-students). Participants will receive an Attendance Certificate.
Maximum number of participants: Thirty (30) participants. Due to limited availability, priority will be given to those who register first. Don’t miss out on this unique opportunity – reserve your place now!
For any additional information, kindly contact: pkapetanopoulou@uowm.gr or secretariat@esi-stat.gr.
About the instructors:
Alex Karagrigoriou is currently Professor of Probability and Statistics in the Department of Statistics and Actuarial-Financial Mathematics of the University of the Aegean and Adjunct Professor at Hellenic Open University. He studied at the University of Patras, Greece and the University of Maryland, USA (MA & Ph.D, 1992). He has worked at the University of Maryland, the United States Department of Agriculture (USDA) and the Institute of Statistical Sciences, Taiwan and taught at the Universities of Maryland, Athens, Aegean, and Cyprus. Dr. Karagrigoriou has great experience in the design and execution of research projects which involve statistical analysis of medical, biomedical, socioeconomic and economic data and has been involved in a number of research programs with external funding over the last 15 years. He was the Principal Scientific and Financial Investigator of research projects on The adaptability of the Cyprus Public Sector on the operating challenges of the European Union funded by the Cyprus Government (2002-2003) and on Cypriot Household Portfolios funded by the Central Bank of Cyprus (1997-2007). He has also been involved as Statistical Investigator on various medical research programs funded by the National Science Foundation of Cyprus and the European Union.
Paraskevi Kapetanopoulou is an Assistant Professor at the Department of Mechanical Engineering at the University of Western Macedonia, while she is a research associate at the Department of Mechanical Engineering at the Aristotle University of Thessaloniki. She has obtained a Diploma (five-year degree) in Mechanical Engineering from the Aristotle University of Thessaloniki, an M.Sc. in Management of Production Systems, and a Ph.D. in Operation and Management of Reverse Supply Chains also from the Aristotle University of Thessaloniki. She has worked as a postdoc researcher in INSEAD, France, and as a visiting Associate Professor in the Department of Mechanical Engineering of the Aristotle University of Thessaloniki. At the postgraduate level she has taught at the Hellenic Open University the module “Advanced Tools and Methods for Quality Control” while for several years she is coordinator of the Master’s Degree Programme “Management, Technology and Quality” at the Open University of Cyprus.