Izvorni znanstveni članak
A Kano Model Based Linguistic Application for Customer Needs Analysis
Md Mamunur Rashid
; Faculty, Bangladesh Institute of Management and Presently working at Graduate School of Kitami Institute of Technology, Japan
Jun’ichi Tamaki
; Kitami Institute of Technology, Japa
A.M.M. Sharif Ullah
; Kitami Institute of Technology, Japa
Akihiko Kubo
; Kitami Institute of Technology, Japa
Sažetak
Linguistic is the systematic study of language.
Now quality doesn’t always mean the “tangible attribute”
of a product or service. It may also be linguistic. Thus,
linguistic has applied for product design through
capturing the voice of Customers. Capturing of the voice
of customers has been done in different way, like Quality
Function Deployment (QFD), Kansei Engineering and
Kano Model regarding product design. Kano Model has
two dimensional linguistic approaches, which is more
voice capturing capacity than other methods. Reverse
attribute study is important for more reliable product
design for next actions than other attributes of Kano
model i.e. attractive, must‐be, one‐dimensional and
indifferent. Thus, this paper is exclusively study for
reverse attribute. For this purpose, a reverse attribute
based linguistic approach, which is run in the computer
system for product design regarding Kano model aspect
using threshold numbers of real consumers opinions
converted into probability through fuzzy concept as an
input of Monte Carlo Simulation system determining
virtual customers is described in this paper.
Ključne riječi
Reverse attribute; Probability; Linguistic; Monte Carlo Simulation; Fuzzy Concept
Hrčak ID:
71502
URI
Datum izdavanja:
15.5.2011.
Posjeta: 2.800 *