The Implementation of Quality Function Deployment (QFD) in Tire Industry

Authors

  • Hari Abdul Hadi Mercu Buana University
  • Humiras Hardi Purba Mercu Buana University
  • Kurnia Sigma Indarto Mercu Buana University
  • Rorio Gomgom Paska Simarmata Mercu Buana University
  • Guntur Pratama Putra Mercu Buana University
  • Dabith Ghazali Mercu Buana University
  • Siti Aisyah Mercu Buana University

DOI:

https://doi.org/10.21512/comtech.v8i4.3792

Keywords:

Quality Function Deployment (QFD), tire industry

Abstract

This research had two main objectives. The first research objective was to make the right design of new product according to customer requirements with the implementation of Quality Function Deployment (QFD) in the tire industry. The second research objective was to enhance competitiveness based on the renewal of marketing strategy and consumer needs, non-explosive prohibition, non-slip tires, no bulgy, and competitive prices. The research was carried out by using costumer satisfaction rating by comparing with the competitor companies. Based on calculation using QFD method, it shows that split liner has the highest percentage of technical requirement in tire industry about 30,57%. The second factor is pattern design about 25,98%. Then, the third factor is compound technology about 22,68%. Therefore, the researchers can recommend several strategies for the quality improvement based on customer needs for the tire industry.

Dimensions

Plum Analytics

Author Biographies

Hari Abdul Hadi, Mercu Buana University

Magister Industrial Engineering Mercu Buana University

Humiras Hardi Purba, Mercu Buana University

Master of Industrial Engineering Program

Kurnia Sigma Indarto, Mercu Buana University

Magister Industrial Engineering Mercu Buana University

Rorio Gomgom Paska Simarmata, Mercu Buana University

Magister Industrial Engineering Mercu Buana University

Guntur Pratama Putra, Mercu Buana University

Magister Industrial Engineering Mercu Buana University

Dabith Ghazali, Mercu Buana University

Magister Industrial Engineering Mercu Buana University

Siti Aisyah, Mercu Buana University

Magister Industrial Engineering Mercu Buana University

References

Andronikidis, A., Georgiou, A. C., Gotzamani, K., & Kamvysi, K. (2009). The application of quality function deployment in service quality management. The TQM Journal, 21(4), 319-333.

Akao, Y., & Mazur, G. H. (2003). The leading edge in QFD: Past, present and future. International Journal of Quality & Reliability Management, 20(1), 20-35.

Akao, Y., Ohfuji, T., & Naoi, T. (1987). Survey and reviews on quality function deployment in Japan. In Proceedings of the International Conference on Quality Control. Tokyo, Japan.

Aytac, A., & Deniz, V. (2005). Quality function deployment in education: A curriculum review. Quality & Quantity, 39(4), 507-514.

Büyüközkan, G., & Çifçi, G. (2013). An integrated QFD framework with multiple formatted and incomplete preferences: A sustainable supply chain application. Applied Soft Computing, 13(9), 3931-3941.

Bottani, E., & Rizzi, A. (2006). Strategic management of logistics service: A fuzzy QFD approach. International Journal of Production Economics, 103(2), 585-599.

Chan, L. K., & Wu, M. L. (2002). Quality function deployment: A literature review. European Journal of Operational Research, 143(3), 463-497.

Chen, L. H., & Weng, M. C. (2006). An evaluation approach to engineering design in QFD processes using fuzzy goal programming models. European Journal of Operational Research, 172(1), 230-248.

Day, R. G. (1993). Quality function deployment: Linking a company with its customers. Milwaukee: Asq Press.

Delgado, D. J., & Aspinwall, E. M. (2003). QFD methodology and practical applications - A review. In Proceedings of the Ninth Annual Postgraduate Research Symposium, School of Engineering, University of Birmingham (pp. 1-5).

Goetsch, D. L., & Davis, S. B. (2013). Quality management for organizational excellence: Introduction to total quality. Japan: Pearson Education International.

Gremyr I, & Raharjo H. (2013). Quality function deployment in healthcare: A literature review and case study. International Journal of Health Care Quality Assurance, 26(2), 135-46.

Isac, N. (2003). Principles of TQM in automotive industry. Romanian Economic and Business Review, 5(4), 187.

John, R., Smith, A., Chotipanich, S., & Pitt, M. (2014). Awareness and effectiveness of Quality Function Deployment (QFD) in design and build projects in Nigeria. Journal of Facilities Management, 12(1), 72-88.

Kahraman, C., Ertay, T., & Büyüközkan, G. (2006). A fuzzy optimization model for QFD planning process using analytic network approach. European Journal of Operational Research, 171(2), 390-411.

Kamvysi, K., Gotzamani, K., Andronikidis, A., & Georgiou, A. C. (2014). Capturing and prioritizing students’ requirements for course design by embedding Fuzzy-AHP and linear programming in QFD.

European Journal of Operational Research, 237(3), 1083-1094.

Krstić, J. (2014). Using possibility of QFD method for development of the “ready-to-go” package. Acta Graphica Znanstveni Časopis Za Tiskarstvo I Grafičke Komunikacije, 25(1-2), 37-46.

Kuo, T. C., Wu, H. H., & Shieh, J. I. (2009). Integration of environmental considerations in quality function deployment by using fuzzy logic. Expert Systems with Applications, 36(3), 7148-7156.

Liao, C. N., & Kao, H. P. (2014). An evaluation approach to logistics service using fuzzy theory, quality function development and goal programming. Computers & Industrial Engineering, 68, 54-64.

Liu, Y., Zhou, J., & Chen, Y. (2014). Using fuzzy non-linear regression to identify the degree of compensation among customer requirements in QFD. Neurocomputing, 142, 115-124.

Politis, J. D. (2005). QFD, organisational creativity and productivity. International Journal of Quality & Reliability Management, 22(1), 59-71.

Raharjo, H. (2013). On normalizing the relationship matrix in quality function deployment. International Journal of Quality & Reliability Management, 30(6), 647-661.

Rajiv, P., Logesh, R., Vinodh, S., & Rajanayagam, D. (2010). Financial feasibility and value engineering principles integrated quality function deployment for a manufacturing organization: A case study. Journal of Engineering, Design and Technology, 12(1), 71-88.

Shaik, A. M., Rao, V. K., & Rao, C. S. (2015). Development of modular manufacturing systems—A review. The International Journal of Advanced Manufacturing Technology, 76(5-8), 789-802.

Sharma, S. (2003). Total engineering quality management. Macmillan Publishers India Limited.

Sivasamy, K., Arumugam, C., Devadasan, S. R., Murugesh, R., & Thilak, V. M. M. (2016). Advanced models of quality function deployment: A literature review. Quality & Quantity, 50(3), 1399-1414.

Skalak, S. C. (2002). Implementing concurrent engineering in small companies. New York: Taylor & Francis Inc.

Vinayak, K., & Kodali, R. (2013). Benchmarking the quality function deployment models. Benchmarking: An International Journal, 20(6), 825-854.

Vinodh, S., & Chintha, S. K. (2011). Application of fuzzy QFD for enabling agility in a manufacturing organization: A case study. The TQM Journal, 23(3), 343-357.

Wolniak, E. R., & Sȩdek, A. (2009). Using QFD method for the ecological designing of products and services. Quality & Quantity, 43(4), 695-701.

Wu, H. H., & Shieh, J. I. (2008). Applying a Markov chain model in quality function deployment. Quality & Quantity, 42(5), 665-678.

Zaim, S., Sevkli, M., Camgöz-Akdağ, H., Demirel, O. F., Yayla, A. Y., & Delen, D. (2014). Use of ANP weighted crisp and fuzzy QFD for product development. Expert Systems with Applications, 41(9), 4464-4474.

Zhang, F., Yang, M., & Liu, W. (2014). Using integrated quality function deployment and theory of innovation problem solving approach for ergonomic product design. Computers & Industrial Engineering, 76, 60-74.

Downloads

Published

2017-12-31

Issue

Section

Articles
Abstract 1599  .
PDF downloaded 937  .