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Advanced Engineering Informatics
journal homepage: www.elsevier.com/locate/aei
Full length article
A novel approach for capturing and evaluating dynamic consumer
requirements in open design
Shipei Li, Dunbing Tang
⁎
, Jun Yang, Qi Wang, Inayat Ullah, Haihua Zhu
College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
ARTICLE INFO
Keywords:
Consumer requirements
Open design
Fuzzy Delphi
Similarity-based filtering
Dual-index evaluation
ABSTRACT
In the product design, understanding consumer requirements (CRs) is essential due to the fact that it influences
the success of the product. Currently, it has been recognized that consumer involvement in an open design (OD)
environment is an effective way to reduce the gap between what is required by consumers and what companies
can provide. In the process of OD, the initial CRs may shift as the consumers can influence each other, and it is a
challenge to capture and evaluate dynamic CRs in OD. In this study, the dynamic relationship between con-
sumers who participate in OD is discussed based on Nash equilibrium. Corresponding to the dynamic re-
lationship, a novel approach is proposed to explore the crucial CRs from consumers’ perspective. Initially, the
platform of OD is constructed on the Internet to collect the CRs and its evaluations. Thereafter, a similarity-based
filtering method (SFM) is presented to filter out the most differentiated evaluations. Furthermore, to get the
weight of the CR evaluated by consumers, an improved fuzzy Delphi method is introduced. Meanwhile, to solve
the problem of excessive number of CRs, a dual-index evaluation method is put forward to control the opening
degree of OD. Finally, to demonstrate the applicability of the suggested approach, a product of smartphone is
examined as a case study. The results confirm that the proposed approach is appropriate for capturing and
evaluating dynamic CRs in OD.
1. Introduction
A successful product design has to meet consumer requirements
(CRs) and also the change of the market. According to the feedback
from the market and consumers to the company, timely upgrading and
optimizing products can increase consumers’ satisfaction [1]. The in-
formation of CRs is of vital importance in the product innovation pro-
cess, production operation and marketing management. It was proved
by a practical application that it is quite difficult for corporations to
compromise the trade-offs between satisfying diverse CRs and reason-
able production-manufacturing [2]. The appropriate information re-
garding CRs can enhance the effectiveness of product design, which
increases consumer satisfaction for a new product (fit to market) and
thus, the product can be launched to the market successfully. To
achieve a complete design, it is essential to integrate overall CRs and
consumer preferences into product design. For capturing CRs, most of
the traditional design methods focus on expert evaluations and ques-
tionnaires to capture CRs. These methods mainly depend on designers’
opinions, and consumers express their requirements for products pas-
sively.
With the support of Internet technology, consumer involvement in
the process of product design is becoming possible, which can reduce
the gap between what consumers really need (consumer requirements)
and what companies can provide (product attributes). Many studies
have been conducted to explore the external resources for improving
product competitiveness. Chesbrough [3] used open innovation to de-
scribe innovation process in which firms can and should make use of
internal ideas and external ideas, as well as internal and external
market paths for advancing their technology. Durmusoglu [4] pre-
sented that open innovation is collecting new information regarding
various elements and technologies through external resources. More-
over, Chesbrough [5] and colleagues further clarified that open in-
novation is to enhance internal innovation by using purposive inflows
and outflows of knowledge and external innovation by expanding
market for external use. The funnel proposed by Chesbrough was based
on the linear innovation model. At present, the boundaries between
universities, industry and government are blurred in the new mode of
technological and social innovation, in which consumers and commu-
nities are actually innovators. Therefore, open innovation should be a
nonlinear model in practice [6,7]. Based on the nonlinear model of
https://doi.org/10.1016/j.aei.2018.12.002
Received 2 January 2018; Received in revised form 7 December 2018; Accepted 11 December 2018
⁎
Corresponding author.
E-mail address: d.tang@nuaa.edu.cn (D. Tang).
Advanced Engineering Informatics 39 (2019) 95–111
1474-0346/ © 2018 Published by Elsevier Ltd.
T