ENBIS-13 in Ankara15 – 19 September 2013 Abstract submission: 5 February – 5 June 2013
The following abstracts have been accepted for this event:
Authors: Alessandro Di Bucchianico (Eindhoven University of Technology), Rainer Goeb (University of Würzburg)
Primary area of focus / application: Other: Funding
Keywords: European Union , Horizon 2020, industry-university collaboration
Submitted at 2-Aug-2013 16:06 by Alessandro Di Bucchianico
Accepted (view paper)
The session starts off with a discussion of the importance of obtaining EU funding from various points of view (academia, industry, European Union). Then we will present an overview of the various funding programmes. We will explain the different goals of these funding programmes, show how to obtain the relevant information and discuss.
The second part of the session will review previous participation of ENBIS in EU funded projects and then proceed with ideas for acquiring new projects. We conclude the session with an open discussion with the audience about ideas and wishes for EU funded projects with ENBIS members.
It will be important to embed statistical approaches into topics of wider interest from the perspective of science, society, technology, economy, and business management. The following topics seem particularly appropriate: risk management; business continuity management; data integration, big data; business intelligence and analytics, in particular supply chain analytics, customer relationship analytics; energy, in particular energy demand, energy security, energy infrastructure, electricity nets, renewable energy; counter-terrorism; cyber defence; environmental security, in particular health risks, climate change, water scarcity, disaster and catastrophe prevention, water and food security, protection of natural resources, sustainability; metrology; demography, in particular ageing population; healthcare; transportation, mobility, traffic.
Statistical Quality Control in a Service Environment
Authors: Fugee Tsung (Hong Kong University of Science and Technology)
Primary area of focus / application: Quality
Keywords: statistical quality control, service engineering, optimization, productivity
Submitted at 16-Aug-2013 11:53 by Fugee Tsung
Probability Management: Unambiguous Uncertainty
Authors: Sam Savage (Stanford University)
Primary area of focus / application: Finance
Keywords: Risk modeling, Portfolios in energy and pharmaceutics
Submitted at 22-Aug-2013 18:01 by Sam Savage
· It is actionable, in that uncertainties may be used in interactive calculations by decision makers themselves, taking the meeting room beyond Power Point.
· It is additive, in that the results of legacy analytical systems may be aggregated across the enterprise to create consolidated risk statements.
· It is auditable, in that uncertainties are represented as unambiguous data including provenance with respect to accuracy and security.
Interactive simulation examples demonstrated in Excel, without macros or add-ins will include portfolios of energy projects, econometric forecasting models, and simple universal calculators for functions of random variables.
Robust Design and Design for Robust Processes
Authors: David Steinberg (Tel Aviv University)
Primary area of focus / application: Design and analysis of experiments
Keywords: robust parameter design, robust processes, experimental design, process improvement
Submitted at 7-Sep-2013 11:38 by David Steinberg
Exploiting Expert Knowledge in Chemometrics
Authors: Wouter Saeys (KU Leuven)
Primary area of focus / application: Modelling
Keywords: chemometrics, expert knowledge, multivariate calibration, correlations
Submitted at 7-Sep-2013 13:02 by Wouter Saeys
Integrated Powertrain Optimization with Statistical Techniques
Authors: Edwige Castagna (General Motors Powertrain Europe)
Primary area of focus / application: Process
Secondary area of focus / application: Design and analysis of experiments
Keywords: Model Based Calibration, Synergistic Optimization, design of experiments, engine performance
Submitted at 7-Sep-2013 13:06 by Edwige Castagna
combined system with a high number of parameters. This technology is famous as MBC Model Based Calibration. The ability to identify an effective engineer strategy together with DoE approach, provide data that will be modeled and optimized to calibrate all engine performances. During my past years I carried out a methodological task to refine the engine testing introducing the concepts
of measurement uncertainty, statistical data analysis, modeling and optimization. This new calibration process required to evolve from a traditional one factor- at-time experimental approach to the modern DoE techniques. The speech will present this MBC process.