Applying the Mahalanobis–Taguchi System to Vehicle Handling

Cudney, Elizabeth A.; Paryani, Kioumars; Ragsdell, K. M.

doi:10.1177/1063293x06073568

Cited by 37 publications

(13 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, this study determined that the above four changing states would shows that the condition not be changed at all. Restated, the new pattern chosen has the following variables: v 4 , v 5 , v 10 , v 11 , v 20 , and v 21 (Figures 7, 8, 9, 10 and 11).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling a dynamic design system using the Mahalanobis Taguchi system — two steps optimal based neural network

Huang

Hsu

Liu

2010

Journal of Statistics and Management Systems

View full text Add to dashboard Cite

This work presents a novel algorithm, the MTS-TSO based Neural Network (NN) algorithm, which combines the Mahalanobis Taguchi System (MTS) with the Two-Step Optimal (TSO) method for parameter selections which are adjusted under a dynamic environment for product parameter design.The utility of the algorithm is assessed in two dimensions: the MTS shows how individual product parameter dimensions are selected; and, the TSO-NN links parameters selection decisions across two different times and it can be used to focus on dynamic system design (DSD) and to identify product architecture dimensions that are critical for a dynamic design system strategy.The MTS which can easily solve product parameter design problems and shows it's computationally efficient in the previous works. Additionally, the TSO algorithm is a simple and efficient means of constructing a dynamic design system, which is verified by the neural network algorithm from this work, and the neural network algorithm from this work, and the neural network is already successfully applied in dynamic system of the past studies. * Based on the main aims and verifies of this work, we conclude that the MTS-TSO based neural network algorithm can be applied successfully to dynamic environments for solving product design problems.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Consequently, the number of system attributes is reduced from 30 items to 6 items. The largest SN ratios are selected, which are v 4 , v 5 , v 10 , v 11 , v 20 , and v 21 .…”

Section: Construct the Mts Modelmentioning

confidence: 99%

Modeling a dynamic design system using the Mahalanobis Taguchi system — two steps optimal based neural network

Huang

Hsu

Liu

2010

Journal of Statistics and Management Systems

View full text Add to dashboard Cite

show abstract

“…More recent research extending MT strategy and combining it with other data mining methods can be found in Huang et al (2009), Su and Hsiao (2009) and Pal and Maiti (2010). Various applications on manufacturing, medical research and other disciplines can be found in the relevant literature (see for example Cudney et al 2006Cudney et al , 2008Das and Datta 2007;Huang and Chen 2005).…”

Section: Mahalanobis-taguchi Strategymentioning

confidence: 97%

Applying the Mahalanobis-Taguchi strategy for software defect diagnosis

2011

View full text Add to dashboard Cite

The Mahalanobis-Taguchi (MT) strategy combines mathematical and statistical concepts like Mahalanobis distance, Gram-Schmidt orthogonalization and experimental designs to support diagnosis and decision-making based on multivariate data. The primary purpose is to develop a scale to measure the degree of abnormality of cases, compared to "normal" or "healthy" cases, i.e. a continuous scale from a set of binary classified cases. An optimal subset of variables for measuring abnormality is then selected and rules for future diagnosis are defined based on them and the measurement scale. This maps well to problems in software defect prediction based on a multivariate set of software metrics and attributes. In this paper, the MT strategy combined with a cluster analysis technique for determining the most appropriate training set, is described and applied to well-known datasets in order to evaluate the fault-proneness of software modules. The measurement scale resulting from the MT strategy is evaluated using ROC curves and shows that it is a promising technique for software defect diagnosis. It compares favorably to previously evaluated methods on a number of publically available data sets. The special characteristic of the Autom Softw Eng (2012) 19:141-165 MT strategy that it quantifies the level of abnormality can also stimulate and inform discussions with engineers and managers in different defect prediction situations.

show abstract

“…Quantifying customer requirements in a more rigorous manner is another important factor in product development. Multivariate analyses are used to identify the correlation and dependency between system variables (Cudney et al, 2006; Frutos et al, 2004). Conjoint analyses (Green and Rao, 1971) are often used to analyze the utility of products or services from the customer’s point of view.…”

Section: Introductionmentioning

confidence: 99%

Strategic conceptual design of mid-sized passenger aircraft based on future market performance prediction

Han

Choi

2014

Concurrent Engineering

View full text Add to dashboard Cite

In this study, we propose an enhanced strategic concept selection method based on concurrent consideration of future market performance. In the strategic conceptual design of a product, the relationship between the product attributes and market performance (i.e. customer preference in a market) is modeled. The historical relationship shows how the trend in customer preferences has changed over the period and we observed this trend is closely related to economic conditions of a market. The trend of customers' preferences is again modeled in terms of related economic factors. Finally, the estimated model is used for predicting the market performance of a concept and selecting the best concept. Demonstrating the usefulness of the approach, we employ the conceptual design of mid-sized passenger aircraft in this work. Market performances of 15 concepts of future mid-sized passenger aircraft that will be sold in 2020-2030 are predicted considering global economic conditions of the global oil price, global gross domestic product, and the net profits of airlines. In the high and reference oil price scenarios, the turboprop aircraft with a large number of seats performs best. However, this concept is very sensitive to oil price fluctuations. In contrast, the market performance of a turbofan aircraft with a large number of seats is predicted to be consistently high in all oil price scenarios, as well as robust to the uncertainty in future market conditions.

show abstract

Applying the Mahalanobis–Taguchi System to Vehicle Handling

Cited by 37 publications

References 8 publications

Modeling a dynamic design system using the Mahalanobis Taguchi system — two steps optimal based neural network

Modeling a dynamic design system using the Mahalanobis Taguchi system — two steps optimal based neural network

Applying the Mahalanobis-Taguchi strategy for software defect diagnosis

Strategic conceptual design of mid-sized passenger aircraft based on future market performance prediction

Contact Info

Product

Resources

About