APPLICATION OF QUALITY FUNCTION DEPLOYMENT (QFD) TO DETERMINE THE REQUIREMENTS FOR PM2.5 DUST MANAGEMENT EQUIPMENT IN SAKON NAKHON PROVINCE
DOI:
https://doi.org/10.55766/sujst13406Keywords:
House of Quality, Innovation, Management, PM2.5, QFDAbstract
This research aims to design for PM2.5 dust management innovation in Sakon Nakhon Province to meet the needs of the target group by applying the Quality Function Deployment (QFD) technique, which was applied through a needs assessment of 384 individuals across 18 districts of Sakon Nakhon Province, which has 2 steps as follows: Part 1: Collecting the demands of the target group by interviewing and organizing the target group’s demand factors using a linkage diagram to design a questionnaire and find the weight score of the importance of each factor of the product’s demand. Part 2: Building a quality house involves identifying the technical requirements, analyzing the relationships between these technical requirements and the target group’s demand factors, scoring the relationship values, and ranking the importance of the technical requirements within the House of Quality (HOQ). From the analysis, it was found that in Phase 1, the product planning matrix, the ranking of the importance weight value by comparing the highest score of the technical requirements is PM2.5 dust filter, followed by durable, strong structure, and finally easy to clean, with customer demand characteristics at 16.40, 13.96, and 3.07 percent, respectively. In Phase 2, the design transformation matrix The ranking of importance weights of the subcomponent requirements, with the most important value, is with the PM2.5 dust filter, followed by the machine being suitable for use, and finally the timer for operation, with the importance values of 19.82, 12.47, and 1.25 percent, respectively.
References
Basri, W. S. (2015). House of quality as a quality tool in higher education management. Journal of Culture, Society and Development, 10, 17-24.
Cohen, L. (1995). Quality function deployment: How to make QFD work for you. Addison-Wesley.
Fu, P., Guo, X., Cheung, F. M. H., & Yung, K. K. L. (2019). The association between PM2.5 exposure and neurological disorders: A systematic review and meta-analysis. Science of the Total Environment, 655, 1240-1248. https://doi.org/10.1016/j.scitotenv.2018.11.218
Hsu, C.-H., Yu, R.-Y., Chang, A.-Y., Liu, W.-L., & Sun, A.-C. (2022). Applying Integrated QFD-MCDM Approach to Strengthen Supply Chain Agility for Mitigating Sustainable Risks. Mathematics, 10(4), 552. https://doi.org/10.3390/math10040552
Intergovernmental Panel on Climate Change. (2019). Climate change and land: An IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems. https://www.ipcc.ch/srccl/
Ismail, I. N., Halim, K. A., Sahari, K. S. M., Anuar, A., Jalal, M. F. A., Syaifoelida, F., & Eqwan, M. R. (2017). Design and development of platform deployment arm (PDA) for boiler header inspection at thermal power plant by using the house of quality (HOQ) approach. Procedia Computer Science, 105, 296-303.
Joompha, W., & Phianthong, N. (2017). Development of fried durian products using the application of quality function deployment technique. Ubon Ratchathani University Science and Technology Journal, 20(3), 204-218.
Lin, H., Guo, Y., Di, Q., Zheng, Y., Kowal, P., Xiao, J., Liu, T., Li, X., Zeng, W., Howard, S. W., Nelson, E. J., Qian, Z., Ma, W., & Wu, F. (2017). Ambient PM2.5 and stroke: Effect modifiers and population attributable risk in six low- and middle-income countries. Stroke, 48(5), 1191-1197. https://doi.org/10.1161/STROKEAHA.116.015739
Mazur, G. H. (1993). QFD for service industries: From voice of customer to task deployment. In Proceedings of the Fifth Symposium on Quality Function Deployment (pp. 1-17).
Militaru, C., Burghelea, C., Stefan, D. L., & Zanfir, A. (2014). QFD – A modern method of products development in the textile and clothing industry. International Journal of Academic Research in Accounting, Finance and Management Sciences, 4(3), 120-130. https://doi.org/10.6007/IJARAFMS/v4-i3/1056
Na, L., Xiaofei, S., Yang, W., & Ming, Z. (2012). Decision making model based on QFD method for power utility service improvement. Systems Engineering Procedia, 4, 243-251.
Nichol, J. E., & Bilal, M. (2016). Validation of MODIS 3 km resolution aerosol optical depth retrievals over Asia. Remote Sensing, 8(4), Article 328. https://doi.org/10.3390/rs8040328
Palancar, G. G., Olcese, L. E., Lanzaco, B. L., Achad, M., López, M. L., & Toselli, B. M. (2016). Aerosol radiative forcing efficiency in the UV-B region over central Argentina. Atmospheric Research, 176-177, 1-9. https://doi.org/10.1016/j.atmosres.2016.02.016
Patwardhan, S., Kulkarni, A., & Rao, K. K. (2018). Projected changes in rainfall and temperature over homogeneous regions of India. Theoretical and Applied Climatology, 131(1-2), 581-592. https://doi.org/10.1007/s00704-016-1999-z
Peryam, D. R., & Pilgrim, F. J. (1957). Hedonic scale method of measuring food preferences. Food Technology, 11(9), 9-14.
Phichitbanjong, P. (2015). Development of lemongrass herbal tea product by applying quality function deployment technique and experimental design. Journal of Narathiwat Rajabhat University, 7(1), 48-49.
Phunpeng, V., Sumklang, S., Boransan, W., Patangtalo, W., Horpibulsuk, S., & Chinkulkijniwat, A. (2026). Enhancing passenger-bus crashworthiness through frontal structural reinforcement. Transportation Engineering, 23, Article 100430. https://doi.org/10.1016/j.treng.2026.100430
Pollution Control Department. (2017). Thailand pollution situation report 2017. [URL]
Pollution Control Department. (2026). Air quality index of Sakon Nakhon. Retrieved [], from.
Rajesh, G., & Malliga, P. (2013). Supplier selection based on AHP QFD methodology. Procedia Engineering, 64, 1283-1292.
Salih, A. A. M., Elagib, N. A., Tjernström, M., & Zhang, Q. (2018). Characterization of the Sahelian-Sudan rainfall based on observations and regional climate models. Atmospheric Research, 202, 205-218. https://doi.org/10.1016/j.atmosres.2017.12.001
Sivaloganathan, S. & Evbuomwan, N.F.O. (1997). Quality Function Deployment — The Technique: State of the Art and Future Directions. Concurrent Engineering Research and Applications, 5(2), 171-181. https://doi.org/10.1177/1063293X9700500209
Thailand Research Fund. (2016). PM2.5 and climate change. https://www.prd.go.th/th/content/category/detail/id/31/iid/411965
Wolfsmayr, U. J., & Rauch, P. (2014). Primary forest fuel supply chain: Assessing barriers and drivers for the modal shift from truck to train. Silva Fennica, 48(5), 125-135.
Wongsangnoi, P. (2020). Application of quality function deployment technique to develop beef products. Journal of Engineering, Ubon Ratchathani Rajabhat University, 13(2), 149–155.
Wongsangnoi, P., Pianthong, N., & Pannucharoenwong, N. (2023). Using quality function deployment for the rubber sheet machine design. Journal of Current Science and Technology, 13(3), 696-707. https://doi.org/10.59796/jcst.V13N3.2023.12
Wongwian, K. (2012). Product development of herbal slimming conditioner and kaffir lime hair mask by applying quality function deployment technique, analytical hierarchy process and value engineering [Master's thesis, King Mongkut's University of Technology North Bangkok].
Yamane, T. (1973). Statistics: An introductory analysis (3rd ed.). Harper & Row.
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2026 Phanuwat Wongsangnoi, Wairut Impho, Nattadon Pannucharoenwong
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
