| 1. |
|
|
| 2. |
- Barone, Stefano, 1970, et al.
(author)
-
Focus on failure avoidance and risk reduction through Variation Mode and Effect Analysis (VMEA)
- 2009
-
In: 2009 Spring Research Conference on Statistics in Industry and Technology.
-
Conference paper (other academic/artistic)abstract
- Variation Mode and Effect Analysis (VMEA) is a quality improvement tool initially thought to help product development engineers focusing on variation. The method was inspired by the wide use of Failure Mode and Effect Analysis (FMEA) in business and industry and the increased attention on robust design. However, FMEA is based on the concept of failure while VMEA is developed on the concept of variation, i.e. it implies a step further toward the awareness of variation and its implications in terms of risk and failures. VMEA helps identifying, scrutinizing and measuring the sources of variation and the way they channel through and impact on important characteristics of the system under study. Applied systematically, it provides a solid basis for achieving system robustness. Three VMEA procedures have been set up for use at different system maturity levels. Several applications have been made over the last five years showing the usefulness of the tool for both product and process (here including also service) improvement. This presentation is aimed at giving an overview of the VMEA method and its possible ways/areas of use in the entire product/process development.
|
|
| 3. |
- Barone, Stefano, 1970, et al.
(author)
-
Statistical-Based Tolerance Setting by Eliciting the Loss Function Reasoning
- 2009
-
In: Proceeedings of the ENBIS Conference 2009.
-
Conference paper (peer-reviewed)abstract
- An issue still open in the statistical-engineering literature concerns the tolerance allocation, i.e. the setting of admitted limits for critical characteristics or performances of interest of the system under study. A common approach to tolerance allocation is based on the idea of Loss function initially developed by Taguchi. Unfortunately, some obstacles prevent from a full exploitation of the Taguchi approach, since despite its clarity and elegance, it is poorly operational. Based on Taguchi’s proposal, researchers have been more concerned on developing different analytical models of loss function than clarifying the reasoning behind the loss function idea. So there is a missing link for a complete interpretation and debate on the loss function.In this paper the authors provide a method to operatively build loss functions from field data and to finally set tolerance limits, starting from an elicitation of the rationale hidden behind the loss function concept. An illustrative example completes the paper.
|
|
| 4. |
- Bergman, Bo, 1943
(author)
-
Conceptualistic Pragmatism: A framework for Bayesian analysis?
- 2009
-
In: IIE Transactions (Institute of Industrial Engineers). - : Informa UK Limited. - 0740-817X .- 1545-8830. ; 41:1, s. 86-93
-
Journal article (peer-reviewed)abstract
- This paper argues for an extended framework for the subjectivist approach to statistical decision making — the judgements made for deriving a likelihood function should be carefully reflected upon. The Harvard professor of philosophy Clarence I. Lewis did offer a philosophical action-oriented framework for this type of reflection. The philosophy of Lewis has very much influenced the originators of the quality movement. This constitutes an interesting link between two important learning-oriented approaches in the current statistical discourse—the subjectivist theory of statistical inference and the quality movement with its focus on continuous improvements.
|
|
| 5. |
|
|
| 6. |
|
|
| 7. |
- Bergman, Bo, 1943, et al.
(author)
-
Ständig förbättring och dess rötter i pragmatismen
- 2007
-
In: Elg, M., Gautherau, V., Witell, L. (2007). Att Lyckas med Förbättringsarbete - Förbättra, Förändra, Förnya. - Lund : Studentlitteratur AB.
-
Book chapter (other academic/artistic)
|
|
| 8. |
|
|
| 9. |
- Bergman, Bo, 1943
(author)
-
Total Time on Test Plots
- 2007
-
In: Encyclopedia of Statistics Quality and Reliability.
-
Book chapter (other academic/artistic)
|
|
| 10. |
|
|
