Effective use of quality function deployment and Kansei engineering for product planning with sensory customer requirements: A plain yogurt case

Dolgun L. E., Koksal G.

QUALITY ENGINEERING, vol.30, pp.569-582, 2018 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 30
  • Publication Date: 2018
  • Doi Number: 10.1080/08982112.2017.1366511
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.569-582
  • Keywords: Kansei engineering, ordinal logistic regression, product planning, quality function deployment, sensory characteristics, QFD, REGRESSION, AHP
  • TED University Affiliated: No


Product planning, as typically the first phase of quality function deployment, involves identifying customer requirements and translating them into technical requirements. Understanding true customer needs and setting targets for customer and technical requirements can be very difficult especially when sensory product characteristics such as taste, odor, and texture are concerned. In this study, effective approaches are developed and implemented for overcoming these difficulties in a plain yogurt case. A customer survey is designed using Kansei words and liking questions. Survey data are analyzed using hypothesis tests and building logistic regression models. Target setting processes are facilitated by optimizing these models.