Skip to main content Accessibility help
×
Home

On Vehicle Evaluation and Design Using Data Envelopment Analysis with Hierarchical Concepts

  • Victor Parque (a1), Kazuhiro Honobe (a1), Satoshi Miura (a1) and Tomoyuki Miyashita (a1)

Abstract

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.

    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      On Vehicle Evaluation and Design Using Data Envelopment Analysis with Hierarchical Concepts
      Available formats
      ×

      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      On Vehicle Evaluation and Design Using Data Envelopment Analysis with Hierarchical Concepts
      Available formats
      ×

      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      On Vehicle Evaluation and Design Using Data Envelopment Analysis with Hierarchical Concepts
      Available formats
      ×

Copyright

This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.

Corresponding author

Contact: Parque, Victor, Waseda University, Modern Mechanical Engineering, Japan, parque@aoni.waseda.jp

References

Hide All
Barat, M., Tohidi, G. and Sanei, M., 2018, “DEA for nonhomogeneous mixed networks”, Asia Pacific Management Review.
Cantner, U., Krueger, J. J. and Soellnerz, R, “Product quality, product price, and share dynamics in the German compact car market”, Industrial and Corporate Change, Vol. 21 No. 5, pp. 10851115
Charnes, A., Cooper, W. and Rhodes, E., 1978, “Measuring the efficiency of decision making units”, European Journal of Operational Research, Vol. 2 No. 6, pp. 429444.
Doyle, J. and Green, R, “Comparing Products using Data Envelopment Analysis”, Omega, Vol. 19 No. 6, pp. 631638.
Fernandez-Castro, A. S. and Smith, P. C., 2002, “Lancaster's characteristics approach revisited: product selection using non-parametric methods”, Managerial and Decision Economics, Vol. 23 No. 2, pp. 8391.
Førsund, F. R., 2018, “Economic interpretations of DEA”, Socio-Economic Planning Sciences, 61, pp. 915. Recent developments on the use of DEA in the public sector.
Gonzalez, E., Carcaba, A. and Ventura, J, “How car dealers adjust prices to reach the product efficiency frontier in the Spanish automobile market”, Omega, 51, pp. 3848.
Han, Y., Geng, Z., Gu, X. and Zhu, Q, “Energy efficiency analysis based on DEA integrated ISM: A case study for Chinese ethylene industries”, Engineering Applications of Artificial Intelligence, Vol. 45, pp. 8089.
Hsiao, S.-W., Ko, Y.-C., Lo, C.-H. and Chen, S.-H., “An ISM, DEI, and ANP based approach for product family development”, Advanced Engineering Informatics, Vol. 27 No. 1, pp. 131148
Ishii, T., Parque, V., Miura, S., Miyashita, T, “Definition and support of differentiation and integration in mechanical structure using S-curve theory and wavelet transform. 21st International Conference on Engineering Design, Vol. 6 No. DS87-6, 2017, pp. 355364
Papagapiou, A., Mingers, J. and Thanassoulis, E., 1997, “Would you buy a used car with DEA?”, OR Insight, Vol. 10 No. 1, Jan, pp. 1319.
Papahristodoulou, C, “A DEA model to evaluate car efficiency”, Applied Economics, Vol. 29, pp. 14931508.
Parque, V., Kobayashi, M., Higashi, M. “Reinforced Explorit on Optimizing Vehicle Powertrains”, International Conference on Neural Information Processing, pp. 579586
Parque, V. and Miyashita, T, “A method to learn high-performing and novel product layouts and its application to vehicle design”, Neurocomputing, Vol. 248, pp. 4156 (2017)
Parque, V. and Miyashita, T., 2015, “Learning the Optimal Product Design Through History”, International Conference on Neural Information Processing, pp. 382389
Parque, V. and Miyashita, T, “On Learning Fuel Consumption Prediction in Vehicle Clusters”, IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), pp. 116 - 121
Parque, V. and Miyashita, T, “On vehicle surrogate learning with genetic programming ensembles”, GECCO ’18 Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 17041710
Parque, V. and Miyashita, T, “Towards the Succinct Representation of m Out of n”, Internet and Distributed Computing Systems - 11th International Conference, pp. 1626
Parque, V. and Miyashita, T, “Unranking Combinations Using Gradient-Based Optimization”, IEEE 30th International Conference on Tools with Artificial Intelligence, pp. 579586
Raut, R. D., Gardas, B. B., Jha, M. K. and Priyadarshinee, P., 2017, “Examining the critical success factors of cloud computing adoption in the msmes by using ism model”, The Journal of High Technology Management Research, Vol. 28 No. 2, pp. 125141.
Seiford, L. M. and Zhu, J., 2003, “Context-dependent data envelopment analysis - measuring attractiveness and progress”, Omega, Vol. 31 No. 5, pp. 397408.
Sueyoshi, T., Yuan, Y. and Goto, M., 2017, “A literature study for DEA applied to energy and environment”, Energy Economics, 62, pp. 104124.
Tavana, M., Li, Z., Mobin, M., Komaki, M. and Teymourian, E., 2016, “Multi-objective control chart design optimization using NSGA-iii and MOPSO enhanced with DEA and topsis”, Expert Systems with Applications, 50, pp. 17 - 39.
Voltes-Dorta, A., Perdiguero, J. and Jiménez, J. L., 2013, “Are car manufacturers on the way to reduce CO2 emissions?”, A DEA approach. Energy Economics, 38, pp. 7786.
Warfield, J. N., 1973a, “On arranging elements of a hierarchy in graphic form”. IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-3 No. 2, March, pp. 121132.
Warfield, J. N., 1973b, “Binary matrices in system modeling”, IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-3 No. 5, Sept, pp. 441449.
Warfield, J. N., 1974a, “Developing subsystem matrices in structural modeling”, IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-4 No. 1, Jan, pp. 7480.
Warfield, J. N., 1974b, “Developing interconnection matrices in structural modeling”, IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-4 No. 1, Jan, pp. 8187.
Warfield, J. N., 1973c, “Constructing operational value systems for proposed two-unit coalitions”, IEEE Conference on Decision and Control, pp. 204213.
Warfield, J. N., 1974, “Toward interpretation of complex structural models”. IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-4 No. 5, Sept, pp. 405417.

Keywords

On Vehicle Evaluation and Design Using Data Envelopment Analysis with Hierarchical Concepts

  • Victor Parque (a1), Kazuhiro Honobe (a1), Satoshi Miura (a1) and Tomoyuki Miyashita (a1)

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed