Integration of QFD, HOQ, Taguchi, and Kansei Engineering for Smart Desk Lamp Design

Authors

  • Maranatha Barus Bina Nusantara University
  • Christian Harito Bina Nusantara University

DOI:

https://doi.org/10.21512/emacsjournal.v6i3.12136

Keywords:

Smart Desk Lamp, Quality Function Development (QFD), House of Quality (HOQ), Taguchi Method

Abstract

This research focuses on the analysis of smart desk lamps. To the authors’ knowledge, there is no previous study about Voice of Customer regarding smart desk lamps in Indonesia, to know the requirements for a smart desk lamp from Indonesian customer using the QFD and House of Quality (HOQ) The overall value of the interaction matrix with HOQ, the relative weight results for each customer and functional requirements are obtained. The highest technical requirement from HOQ is automatic on/off. The Taguchi method is to find out the best design for each Kansei Engineering that has been created. The Kansei Engineering that have been created are easy to use, adjustable lamp, affordable price, modern design, hi-tech. Each Kansei Engineering produces the required design according to the S/N Ratio (signal to noise ratio). Based on the QFD questionnaire and design using Kansei Engineering, one best design was obtained, namely hi-tech. The design consists of 3 parts, namely the top, middle and bottom. At the top, the slim rectangular shape is preferable with lights position in the middle. Pole position is round, upright position. At the bottom, it has a circular shape.

Dimensions

Plum Analytics

Author Biographies

Maranatha Barus, Bina Nusantara University

Industrial Engineering Department, BINUS Graduate Program - Master of Industrial Engineering

Christian Harito, Bina Nusantara University

Industrial Engineering Department, BINUS Graduate Program - Master of Industrial Engineering

References

Abdul Rahman, K., Ahmad, S. A., Che Soh, A., Ashari, A., Wada, C., & Gopalai, A. A. (2023). Improving Fall Detection Devices for Older Adults Using Quality Function Deployment (QFD) Approach. Gerontology and Geriatric Medicine, 9. https://doi.org/10.1177/23337214221148245

Chan, L. K., & Wu, M. L. (2002). Quality function deployment: A literature review. In European Journal of Operational Research (Vol. 143, Issue 3). https://doi.org/10.1016/S0377-2217(02)00178-9

Dian, T. M. (2021). Quality Improvement of Honey Product Using Quality Function Deployment ( QFD ) Method Peningkatan Kualitas Produk Madu Menggunakan Metode Quality Function Deployment ( QFD ). 10(3), 260–273.

Dwi Orshella, D. (2023). Penerapan Kansei Engineering Pada Perancangan Ulang Desain Kemasan Produk Umkm. Jurnal Industrial Galuh, 1(02), 80–87. https://doi.org/10.25157/jig.v1i02.2992

Fahrul Huda. (2021). Re-Design Kemasan Mie Sagu Dengan Menggunakan Metode Kansei Engineering.

Falcone, D., De Felice, F., Di Bona, G. P., & Silvestri, A. (2003). Improvement of the moulding process in an automotive company by robust design application. Proceedings of the IASTED International Conference on Modelling and Simulation, 444–449.

Göken, M., & Alppay, E. C. (2023). Application of Kansei engineering to Turkish coffee makers: Connections between hedonic factors and design features. Cogent Engineering, 10(1). https://doi.org/10.1080/23311916.2023.2175882

Handayani, N., Hasan Thaib, M., & Renaldi Adly, T. (2020). Analisis Pengembangan Mutu Pelayanan Pasien Instalasi Rawat Inap (IRI) Dengan Metode Quality Function Deployment (QFD). Jurnal Teknik Industri, 23(2), 19–30.

Hartono, M. (2020). The modified Kansei Engineering-based application for sustainable service design. International Journal of Industrial Ergonomics, 79(January 2019), 102985. https://doi.org/10.1016/j.ergon.2020.102985

Kittidecha, C., & Yamada, K. (2018). Application of Kansei engineering and data mining in the Thai ceramic manufacturing. Journal of Industrial Engineering International, 14(4), 757–766. https://doi.org/10.1007/s40092-018-0253-y

Nagamachi, M. (2002). Kansei engineering in consumer product design. Ergonomics in Design, 10(2), 5–9. https://doi.org/10.1177/106480460201000203

Nagamachi, M., Okazaki, Y., & Ishikawa, M. (2006). Kansei engineering and application of the rough sets model. Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, 220(8), 763–768. https://doi.org/10.1243/09596518JSCE161

Orbak, Â. Y., Küçük, M., Akansel, M., Sharma, S., Li, C., Kumar, R., Singh, S., & Di Bona, G. (2023). Mathematical Model Assisted Six-Sigma Approach for Reducing the Logistics Costs of a Pipe Manufacturing Company: A Novel Experimental Approach. Mathematics, 11(3), 1–18. https://doi.org/10.3390/math11030621

Putri Avintya Fatimah Rahma, Yunidar Dandi, & Andrianto. (2023). Implementasi Pendekatan Kansei Engineering Dalam Perancangan Desain User Interface Dan User Experience Aplikasi Mobile Serveasy Untuk Kebutuhan Pengguna. E-Proceeding of Art & Design, 10(1), 20–25.

Quan, H., Li, S., & Hu, J. (2018). Product innovation design based on deep learning and Kansei engineering. Applied Sciences (Switzerland), 8(12), 1–17. https://doi.org/10.3390/app8122397

Sari, N. P., Immanuel, J., & Cahyani, A. (2020). Aplikasi Kansei Engineering Dan Fuzzy Analytical Hierarchical Process Dalam Pengembangan Desain Kemasan. Journal Printing and Packaging, 1, 9–21. http://jurnal.pnj.ac.id/index.php/ppt/article/view/2469/0

Suari, M. (2017). Pemanfatan Arduino nano dalam Perancangan Media Pembelajaran Fisika. Natural Science Journal, 3(1), 474–480. www.ecadio.com

Susilo, D., Sari, C., & Krisna, G. W. (2021). Sistem Kendali Lampu Pada Smart Home Berbasis IOT (Internet of Things). ELECTRA : Electrical Engineering Articles, 2(1), 23. https://doi.org/10.25273/electra.v2i1.10504

Tang, J., Zhang, Y. E., Tu, Y., Chen, Y., & Dong, Y. (2005). Synthesis, evaluation, and selection of parts design scheme in supplier involved product development. Concurrent Engineering Research and Applications, 13(4), 277–289. https://doi.org/10.1177/1063293X05059806

Turumugon, P., & Baharum, A. (2018). Identifying a user interface web design standard for higher learning institutions using kansei engineering. Indonesian Journal of Electrical Engineering and Computer Science, 11(1), 90–97. https://doi.org/10.11591/ijeecs.v11.i1.pp90-97

Wulandari, A. A., Wuryandari, T., & Ispriyanti, D. (2016). PENERAPAN METODE TAGUCHI UNTUK KASUS MULTIRESPON MENGGUNAKAN PENDEKATAN GREY RELATIONAL ANALYSIS DAN PRINCIPAL COMPONENT ANALYSIS (Studi Kasus Proses Freis Komposit GFRP). Jurnal Gaussian, 5(4), 791–800. http://ejournal-s1.undip.ac.id/index.php/gaussian

ZEYDAN, M., & ÖCAL, A. (2021). a Rule-Based Approach To Sofa Design With Kansei Engineering. Endüstri Mühendisliği, 32(1), 69–89. https://doi.org/10.46465/endustrimuhendisligi.788310

Downloads

Published

2024-09-24
Abstract 68  .
PDF downloaded 46  .