Task Decomposition and Restructuring Method for Collaborative Design of Crowdsourcing Platform

Abstract

In the crowdsourcing design environment, the crowdsourcing design tasks published by the demand subject need to be decomposed into subtasks with appropriate granularity, so that the crowdsourcing platform can match the design tasks and design resource subjects accurately. In order to solve the problem of low efficiency of bilateral matching between subtasks and design resource subjects in complex design tasks in crowdsourcing plat-form, this paper proposes a design task decomposition and restructuring method based on design structure matrix and genetic algorithm. Firstly, based on the decomposition requirement of the crowd-sourced design task, de-composing the requirement task of the demand subject into several subtasks, and carrying out a design structure matrix modeling among the subtasks. On this basis, re-structuring each subtask based on genetic algorithm. Finally, verifying the effectiveness of the proposed method by a case that decomposing and restructuring of a design task of automobile appearance crowdsourcing.