A Product Family Optimization Approach Using Multidimensional Data Visualization

2010 ◽  
Author(s):  
Laura Slingerland ◽  
Aaron Bobuk ◽  
Timothy Simpson
Keyword(s):  
Data Visualization ◽  
Product Family ◽  
Multidimensional Data ◽  
Optimization Approach ◽  
Multidimensional Data Visualization ◽  
Product Family Optimization

scholarly journals Multidimensional data visualization

2002 ◽  
Vol 34 (2) ◽  
pp. 158-162 ◽  
Author(s):  
Matthew J. Pastizzo ◽  
Robert F. Erbacher ◽  
Laurie B. Feldman
Keyword(s):  
Data Visualization ◽  
Multidimensional Data ◽  
Multidimensional Data Visualization

Employing Multidimensional Data Visualization Tools to Assess the Impact of Constraint Uncertainties on Complex Design Problems

2017 ◽  
Author(s):  
Gary M. Stump ◽  
Simon W. Miller ◽  
Michael A. Yukish ◽  
Christopher M. Farrell
Keyword(s):  
Data Visualization ◽  
Decision Makers ◽  
Multidimensional Data ◽  
Design Problems ◽  
Design Constraints ◽  
Performance Space ◽  
Multidimensional Data Visualization ◽  
Complex Design ◽  
Visualization Tools ◽  
The Impact

A potential source of uncertainty within multi-objective design problems can be the exact value of the underlying design constraints. This uncertainty will affect the resulting performance of the selected system commensurate with the level of risk that decision-makers are willing to accept. This research focuses on developing visualization tools that allow decision-makers to specify uncertainty distributions on design constraints and to visualize their effects in the performance space using multidimensional data visualization methods to solve problems with high orders of computational complexity. These visual tools will be demonstrated using an example portfolio design scenario in which the goal of the design problem is to maximize the performance of a portfolio with an uncertain budget constraint.

Application of Multidimensional Data Visualization by Means of Self-Organizing Kohonen Maps to Evaluate Classification Possibilities of Various Coal Types / Zastosowanie Wizualizacji Wielowymiarowych Danych Za Pomocą Sieci Kohonena Do Oceny Możliwości Klasyfikacji Różnych Typów Węgla

2015 ◽  
Vol 60 (1) ◽  
pp. 39-50 ◽  
Author(s):  
Dariusz Jamróz ◽  
Tomasz Niedoba
Keyword(s):  
Data Visualization ◽  
Multidimensional Data ◽  
Material Quality ◽  
Kohonen Maps ◽  
Multidimensional Data Visualization ◽  
Visualization Techniques ◽  
Modern Tool ◽  
Coal Type

Abstract Multidimensional data visualization methods are a modern tool allowing to classify some analysed objects. In the case of grained materials e.g. coal, many characteristics have an influence on the material quality. The paper presents the possibility of applying visualization techniques for coal type identification and determination of significant differences between various types of coal. To achieve this purpose, the method of Kohonen maps was applied by means of which three types of coal - 31, 34.2 and 35 (according to Polish classification of coal types) were investigated. It was stated that the applied methodology allows to identify certain coal types efficiently and can be used as a qualitative criterion for grained materials.

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