A collective intelligence oriented three-layer framework for socialized and collaborative product design

Maolin Yang, Weidong Li, Pingyu Jiang

Research output: Contribution to journalArticlepeer-review

Abstract

Socialized and collective intelligence oriented product design (SCPD) is a new kind of design pattern emerged under the context of advanced internet technologies and sharing economic trend. It is usually carried out by large numbers of socialized and self-driven participators from different social backgrounds in an open, sharing, self-organized, distributed, and collaborative manner. These characteristics bring SCPD with advantages such as rich design resources, high innovation potentials, deep connection with customer-centric markets, etc., but the characteristics also cause the problems of low efficiency and low reliability during the collaborative design process of SCPD. To mitigate these problems, a collective intelligence oriented three-layer SCPD framework is established. The first layer focuses on design task decomposition and subtask analysis. The second layer focuses on generating alternative design solutions for the subtasks using a customized Blackboard model. The third layer focuses on identifying the most preferred solution using a fuzzy VIKOR algorithm driven consensus reaching model. The SCPD framework is able to support orderly interaction, mutual inspiration, group decision making, and participation stimulation among the socialized participators. In this way, the framework provides a more systematic and efficient approach to utilize the CI from SPs for product design, and thus enlarges the application scope of SCPD pattern from software and small-scale physical products to relatively complicated and high-value physical products. The operability of the framework is demonstrated through an innovative 3D printer design project.
Original languageEnglish
Article number114742
JournalExpert Systems with Applications
Volume173
Early online date20 Feb 2021
DOIs
Publication statusE-pub ahead of print - 20 Feb 2021

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Expert Systems with Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Expert Systems with Applications, 173, (2021) DOI: 10.1016/j.eswa.2021.114742

© 2021, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Funder

National Natural Science Foundation of China (No. 71571142 , 51975464 ), and the China Scholarship Council (No. 201806280158 ).

Keywords

  • Blackboard model
  • Collaborative design
  • Collective intelligence
  • Consensus reaching
  • Fuzzy VIKOR algorithm
  • Socialized design

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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