Issue |
MATEC Web Conf.
Volume 204, 2018
International Mechanical and Industrial Engineering Conference 2018 (IMIEC 2018)
|
|
---|---|---|
Article Number | 03009 | |
Number of page(s) | 7 | |
Section | Manufacture and System Design | |
DOI | https://doi.org/10.1051/matecconf/201820403009 | |
Published online | 21 September 2018 |
Kansei engineering-based robust design model for logistics services
1
Engineering Management Laboratory, Department of Industrial Engineering, University of Surabaya, 60293 Surabaya, Indonesia
2
Systems Engineering Laboratory, Department of Industrial Engineering, University of Surabaya, 60293 Surabaya, Indonesia
*
Corresponding author: markus@staff.ubaya.ac.id
Previous studies in Kansei Engineering have focused on product design and development incorporating customer emotional needs and extended to service design and improvement considering service quality tools to enhance the Kansei Engineering methodology. However, a little attention has been paid to modify the effectiveness of the proposed improvement strategies. This study has developed an integrative model of Kansei Engineering and robust design methodology to strengthen the applicability of Kansei Engineering method in services. An illustrative case study in logistics services has been discussed, as one of the prominent and fastest growing business sectors in Indonesia. The expected contributions in theory and practice are expressed in this paper.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.