On vehicle evaluation and design using data envelopment analysis with hierarchical concepts

Victor Parque*, Kazuhiro Honobe, Satoshi Miura, Tomoyuki Miyashita

*この研究の対応する著者

研究成果: Conference article査読

抄録

In recent years, product complexity in terms of function and structure has been driven by technological development in complementary components. Designing unbiased product evaluation metrics being to grasp the complex relationships of product features, and able to capitalize on market needs has become a challenge in industrial practice. In this paper, we propose a hybrid framework in which evaluation models are generated by integrating Interpretive Structural Modeling (ISM), Hierarchical Clustering and Data Envelopment Analysis (DEA). Whereas ISM constructs hierarchical digraphs (skeletons), Hierarchical Clustering reduces dimensionality of pairwise comparisons (correlations) of design variables, and suggests possible evaluation configurations, and DEA computes weights to provide optimal evaluation metrics. Our computational experiments using more than twenty thousand vehicles from 1982 to 2013 confirmed the feasibility and usefulness of DEA with hierarchical concepts to generate the optimal vehicle evaluation metric, and to suggest configurations for vehicle design layouts.

本文言語English
ページ(範囲)1225-1234
ページ数10
ジャーナルProceedings of the International Conference on Engineering Design, ICED
2019-August
DOI
出版ステータスPublished - 2019
イベント22nd International Conference on Engineering Design, ICED 2019 - Delft, Netherlands
継続期間: 2019 8 52019 8 8

ASJC Scopus subject areas

  • 工学(その他)
  • 産業および生産工学
  • モデリングとシミュレーション

フィンガープリント

「On vehicle evaluation and design using data envelopment analysis with hierarchical concepts」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル