Abstract

Conceptual design is the design phase that deploys product functions and structures based on user requirements and ultimately generates conceptual design solutions. The increasing diversification of products has led to the promotion of customized design that involves deep user participation. As a result, there has been a growing focus on user-centric conceptual design. In this regard, the relationship among users, designers, and design solutions has been changed, which has brought challenges to the traditional designer-oriented design model. To address the complex understanding and decision-making problem caused by deeper user participation, emerging new user-centric product conceptual design model needs to be discussed. In the new design model, addressing the changing or growing requirements of users through the design of solutions and leveraging multi-domain knowledge to guide the conceptual design process are the critical areas of focus. To further describe this design model, this paper examines the user-centric interconnection among users, designers, design solutions, and multi-domain knowledge. In order to optimize design solutions, the solution resolution process and knowledge mapping based on design deviations are considered effective approaches. In addition, the paper also presents the types of design deviations and the multi-domain knowledge support techniques.

References

1.
Delgado-Maciel
,
J.
,
Cortés-Robles
,
G.
,
Sánchez-Ramírez
,
C.
,
García-Alcaraz
,
J.
, and
Méndez-Contreras
,
J. M.
,
2020
, “
The Evaluation of Conceptual Design Through Dynamic Simulation: A Proposal Based on TRIZ and System Dynamics
,”
Comput. Ind. Eng.
,
149
, p. 106785.
2.
Guo
,
X.
,
Zhao
,
W.
,
Hu
,
H.
,
Li
,
L.
,
Liu
,
Y.
,
Wang
,
J.
, and
Zhang
,
K.
,
2021
, “
A Smart Knowledge Deployment Method for the Conceptual Design of Low-Carbon Products
,”
J. Clean. Prod.
,
321
, p. 128994
3.
Li
,
J.
,
Zhao
,
W.
,
Zhang
,
K.
,
Yu
,
M.
, and
Guo
,
X.
,
2023
, “
A Space LayoutDesign Model for Concept Generation Using Function-Based Spatial Planning and Structure Dynamic Deployment
,”
Adv. Eng. Inform.
,
56
, p. 101944.
4.
Perez
,
A. T. E.
,
Rossit
,
D. A.
,
Tohmé
,
F.
, and
Vásquez
,
Ó. C.
,
2022
, “
Mass Customized/Personalized Manufacturing in Industry 4.0 and Blockchain: Research Challenges, Main Problems, and the Design of an Information Architecture
,”
Inform. Fusion
,
79
, pp.
44
57
.
5.
Cao
,
L.
,
Mohan
,
K.
,
Xu
,
P.
, and
Ramesh
,
B.
,
2009
, “
A Framework for Adapting Agile Development Methodologies
,”
Eur. J. Inform. Syst.
,
18
(
4
), pp.
332
343
.
6.
Huang
,
Z.
,
Guo
,
X.
,
Liu
,
Y.
,
Zhao
,
W.
, and
Zhang
,
K.
,
2023
, “
A Smart Conflict Resolution Model Using Multi-layer Knowledge Graph for Conceptual Design
,”
Adv. Eng. Inform.
,
55
, p. 101887.
7.
Lee
,
C.
,
Chen
,
C.
,
Li
,
F.
, and
Shie
,
A.
,
2020
, “
Customized and Knowledge-Centric Service Design Model Integrating Case-Based Reasoning and TRIZ
,”
Expert Syst. Appl.
,
143
, p. 113062.
8.
Sousa-Zomer
,
T. T.
, and
Miguel
,
P. A. C.
,
2017
, “
A QFD-Based Approach to Support Sustainable Product-Service Systems Conceptual Design
,”
Int. J. Adv. Manuf. Technol.
,
88
, pp.
701
717
.
9.
Hui
,
Q.
,
Li
,
Y.
,
Tao
,
Y.
, and
Liu
,
H.
,
2020
, “
Triple-Helix Structured Model Based on Problem-Knowledge-Solution Co-Evolution for Innovative Product Design Process
,”
Chin. J. Mech. Eng.
,
33
(
94
).
10.
Hu
,
H.
,
Liu
,
Y.
,
Guo
,
X.
, and
Fu
,
C.
,
2022
, “
A Conceptual Design Specification Based on User Aesthetic Information Analysis and Product Functional Reasoning
,”
Machines
,
10
(
10
), p.
868
.
11.
Yang
,
Q.
,
Jiao
,
H.
,
Song
,
F.
,
Pan
,
G.
, and
Wei
,
D.
,
2017
, “
Customer Requirement Acquisition System and Requirement Expression Guidance Based on Ant Colony Optimization
,”
Adv. Mech. Eng.
,
9
(
6
), pp.
1
9
.
12.
Kang
,
B.
,
Crilly
,
N.
,
Ning
,
W.
, and
Kristensson
,
P. O.
,
2023
, “
Prototyping to Elicit User Requirements for Product Development: Using Head-Mounted Augmented Reality When Designing Interactive Devices
,”
Des. Stud.
,
84
, p. 101147.
13.
Jin
,
J.
,
Liu
,
Y.
,
Ji
,
P.
, and
Liu
,
H.
,
2016
, “
Understanding Big Consumer Opinion Data for Market-Driven Product Design
,”
Int. J. Prod. Res.
,
54
(
10
), pp.
3019
3041
.
14.
Guo
,
X.
,
Liu
,
Y.
,
Zhao
,
W.
,
Wang
,
J.
, and
Chen
,
L.
,
2021
, “
Supporting Resilient Conceptual Design Using Functional Decomposition and Conflict Resolution
,”
Adv. Eng. Inform.
,
48
, p. 101262.
15.
Mao
,
J.
,
Zhu
,
Y.
,
Chen
,
M.
,
Chen
,
G.
,
Yan
,
C.
, and
Liu
,
D.
,
2023
, “
A Contradiction Solving Method for Complex Product Conceptual Design Based on Deep Learning and Technological Evolution Patterns
,”
Adv. Eng. Inform.
,
55
, p. 101825.
16.
Sarica
,
S.
,
Luo
,
J.
, and
Wood
,
K. L.
,
2020
, “
TechNet: Technology Semantic Network Based on Patent Data
,”
Expert Syst. Appl.
,
142
, p. 112995.
17.
Shi
,
F.
,
Chen
,
L.
,
Han
,
J.
, and
Childs
,
P.
,
2017
, “
A Data-Driven Text Mining and Semantic Network Analysis for Design Information Retrieval
,”
ASME J. Mech. Des.
,
139
(
11
), p.
111402
.
18.
Hu
,
H.
,
Liu
,
Y.
,
Lu
,
W. F.
, and
Guo
,
X.
,
2022
, “
A Knowledge-Based Approach Toward Representation and Archiving of Aesthetic Information for Product Conceptual Design
,”
ASME J. Comput. Inf. Sci. Eng.
,
22
(
4
), p.
041011
.
19.
Siddharth
,
L.
,
Blessing
,
L. T. M.
,
Wood
,
K. L.
, and
Luo
,
J.
,
2021
, “
Engineering Knowledge Graph From Patent Database
,”
ASME J. Comput. Inf. Sci. Eng.
,
22
(
2
), p.
21008
.
20.
Luo
,
J.
,
Sarica
,
S.
, and
Wood
,
K. L.
,
2019
, “
Computer-Aided Design Ideation Using InnoGPS
,”
Proceedings of the ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
,
Anaheim, CA
,
Aug. 18–21
.
21.
Liu
,
Q.
,
Wang
,
K.
,
Li
,
Y.
,
Chen
,
C.
, and
Li
,
W.
,
2022
, “
A Novel Function-Structure Concept Network Construction and Analysis Method for a Smart Product Design System
,”
Adv. Eng. Inform.
,
51
, p. 101502.
22.
Song
,
W.
,
Ming
,
X.
, and
Han
,
Y.
,
2014
, “
Prioritising Technical Attributes in QFD Under Vague Environment: A Rough-Grey Relational Analysis Approach
,”
Int. J. Prod. Res.
,
52
(
18
), pp.
5528
5545
.
23.
Tiwari
,
V.
,
Jain
,
P. K.
, and
Tandon
,
P.
,
2016
, “
Product Design Concept Evaluation Using Rough Sets and VIKOR Method
,”
Adv. Eng. Inform.
,
30
(
1
), pp.
16
25
.
24.
Hayat
,
K.
,
Ali
,
M. I.
,
Karaaslan
,
F.
,
Cao
,
B.
, and
Shah
,
M. H.
,
2020
, “
Design Concept Evaluation Using Soft Sets Based on Acceptable and Satisfactory Levels: An Integrated TOPSIS and Shannon Entropy
,”
Soft Comput.
,
24
, pp.
2229
2263
.
25.
Guo
,
Q.
,
Xue
,
C.
,
Yu
,
M.
, and
Shen
,
Z.
,
2019
, “
A New User Implicit Requirements Process Method Oriented to Product Design
,”
ASME J. Comput. Inf. Sci. Eng.
,
19
(
1
), p.
011010
.
26.
Cong
,
J.
,
Zheng
,
P.
,
Bian
,
Y.
,
Chen
,
C.
,
Li
,
J.
, and
Li
,
X.
,
2022
, “
A Machine Learning-Based Iterative Design Approach to Automate User Satisfaction Degree Prediction in Smart Product-Service System
,”
Comput. Ind. Eng.
,
165
, p. 107939.
27.
Guo
,
X.
,
Jiang
,
Y.
, and
Liu
,
Y.
,
2022
, “Conceptual Design for Innovation: Process and a Knowledge-Based Approach,”
Advances in Product Design Engineering
,
P.
Kyratsis
,
N.
Efkolidis
,
and J. P.
Davim
, eds.,
Springer International Publishing
,
Cham
, pp.
179
198
.
28.
Luo
,
J.
,
Sarica
,
S.
, and
Wood
,
K. L.
,
2021
, “
Guiding Data-Driven Design Ideation by Knowledge Distance
,”
Knowl. Based Syst.
,
218
, p. 106873.
29.
Chen
,
X.
,
Jia
,
S.
, and
Xiang
,
Y.
,
2020
, “
A Review: Knowledge Reasoning Over Knowledge Graph
,”
Expert Syst. Appl.
,
141
, p. 112948.
30.
Yu
,
H.
,
Zhao
,
W.
, and
Zhao
,
Q.
,
2022
, “
Distributed Representation Learning and Intelligent Retrieval of Knowledge Concepts for Conceptual Design
,”
Adv. Eng. Inform.
,
53
, p. 101649.
You do not currently have access to this content.