Customer Need Analysis for Trim Levels of Automobiles Using Fuzzy Kano Model

Irem Ucal Sari*, Furkan Sevinc

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In today’s competitive and innovative environment, it is becoming more and more important to be able to attract customers. Especially in the automobile industry where each model can be presented with different features, determining the automobile equipment combination (trim levels) that will attract the customers the most and introducing the basic packages created in this direction can directly affect the sales. Therefore, in this study, a survey is conducted to determine customers’ attitudes towards the features included in the basic packages of automobiles. Based on the literature review, the design parameters used in the survey are determined as seat comfort, type of air conditioner, gear type, multimedia panel, keyless entry, cruise control, digital display, rear camera and sun roof. The fuzzy Kano model is used to determine trim level features that appeal to customers for different automobile segments. The results obtained are also compared with the traditional Kano model.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference
EditorsCengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari
PublisherSpringer Science and Business Media Deutschland GmbH
Pages614-621
Number of pages8
ISBN (Print)9783030855765
DOIs
Publication statusPublished - 2022
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2021 - Istanbul, Turkey
Duration: 24 Aug 202126 Aug 2021

Publication series

NameLecture Notes in Networks and Systems
Volume308
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2021
Country/TerritoryTurkey
CityIstanbul
Period24/08/2126/08/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Customer need analysis
  • Fuzzy Kano model
  • Trim level features

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