ENBIS-12 in Ljubljana9 – 13 September 2012 Abstract submission: 15 January – 10 May 2012
The following abstracts have been accepted for this event:
Estimation for Utility of Donor Arrivals
Authors: Banu Yuksel Ozkaya (Hacettepe University), Murat Caner Testik (Hacettepe University)
Primary area of focus / application: Modelling
Keywords: logistic regression, simulation, blood bank, process modeling
Submitted at 14-Apr-2012 14:07 by Banu Yuksel-Ozkaya
Accepted (view paper)
Analysis and Comparison of Flow Chart Trace Softwares.
Authors: Susana Vegas (Universidad de Piura), Ana María Cumpa (Universidad de Piura), Laura Ilzarbe (Transabadell)
Primary area of focus / application: Quality
Keywords: Flow chart, quality control tools, quality improvement, quality management
Submitted at 14-Apr-2012 16:08 by Susana Vegas
In this paper, a comparison between 27 flow chart tracer software programs is performed. First, a survey applied to 48 Peruvian companies was conducted, with the purpose of determining the key factors that they take into account when they choose a flow chart tracer software. Once the key factors were selected, all the software programs were analyzed to determine their main characteristics and how well they meet these factors.
As a result, there is a complete description of each software program and each one is recommended based on their particular advantages and their destined uses.
EWMA p Charts Under Sampling by Variables --- Ideas, Numerics and Properties
Authors: Sven Knoth (Helmut Schmidt University Hamburg), Sebastian Steinmetz (Helmut Schmidt University Hamburg)
Primary area of focus / application: Process
Keywords: EWMA, yield monitoring, numerical methods, ARL, percent defective
Submitted at 14-Apr-2012 21:14 by Sven Knoth
Accepted (view paper)
stability in terms of yield. For given lower and upper specification limits
the probability of nonconforming quality is estimated via the sample mean
(and variance). This proportion estimate is plugged into an EWMA chart.
Then, the control chart with only an upper limit signals for decreased quality.
Thus, this monitoring scheme alarms only if the quality level deteriorated
considerably. It allows, for example, that the pre-run (in-control) sample mean does not match the target mean value such as the center of the specification interval. This mismatch and other imperfect in-control situations are quite common in control charting practice.
In order to calculate properties such as the ARL (zero-state, worst-case) one has to face similar issues as for variance schemes, because the support of the chart statistic is bounded. This is solved with appropriate numerical methods. Eventually, the resulting and reasonably calibrated EWMA p variables charts are compared to classical EWMA and CUSUM charts for the mean and also to classical EWMA p charts based on simply the sample proportions.
Turning a Simple Case Study into a Single Session, Three Stage Active Learning Exercise for Classroom Use
Authors: Jacqueline Asscher (Kinneret College on the Sea of Galilee)
Primary area of focus / application: Education & Thinking
Keywords: teaching, active learning, problem based, case study
Submitted at 15-Apr-2012 00:36 by Jacqueline Asscher
Accepted (view paper)
This exercise has been used as a single session within a course of lectures and as a stand-alone workshop at a conference. The case study used involved checking the sensitivity of a critical dimension in a steel bending process to the variation in materials.
The three stages of the project are: deciding what questions to ask and what existing data to obtain; analyzing existing data (results from routine inspection of incoming materials) and designing a small experiment; analyzing the results of the experiment.
Participants work in pairs using a pencil and calculator. At each stage they receive one or two worksheets with information and questions, so that the exercise is like a cooking show where a pie is put together and then magically appears fully cooked. Here, for example, participants choose which background information to request and this information then appears in the form of further explanations, graphs and data.
In this paper I discuss how to construct such an exercise, focusing on the following issues: How do we flesh out a real example with fictitious supplementary data? How much guidance to provide? How much time is needed? How should time be divided between work in pairs and whole group discussion?
Worst-Case Scenarios Identification as a Financial Stress Testing Tool for Financial- Economic Risk Models
Authors: Mohamed El Ghourabi (University of Tunis), Amor Messaoud (University of Tunis), Mourad Landolsi (University of Tunis), Amira Dridi (University of Tunis)
Primary area of focus / application: Finance
Keywords: Worst-Case Scenarios, Financial stress testing, Risk management, Mahalanobis distance
Submitted at 15-Apr-2012 20:02 by Mohamed El Ghourabi
On Categorization of Perturb and Combine Ensemble Methods
Authors: Riadh Khanchel (University of Tunis), Mohamed Limam (University of Tunis)
Primary area of focus / application: Mining
Keywords: Ensemble Methods, Classification, Boosting, Bagging
Submitted at 15-Apr-2012 20:32 by Riadh Khanchel