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Mathematical Problems in Engineering
Volume 2017 (2017), Article ID 6738139, 13 pages
https://doi.org/10.1155/2017/6738139
Research Article

Modeling and Simulation Study of Designer’s Bidirectional Behavior of Task Selection in Open Source Design Process

1School of Economics and Management, North China Electric Power University, Beijing 102206, China
2Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China
3Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China

Correspondence should be addressed to Yingzi Li

Received 9 January 2017; Revised 25 April 2017; Accepted 2 May 2017; Published 24 May 2017

Academic Editor: M. L. R. Varela

Copyright © 2017 Shuo Zhang and Yingzi Li. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Open source design (OSD) is an emerging mode of product design. In OSD process, how to select right tasks directly influences the efficiency and quality of task completion, hence impacting the whole evolution process of OSD. In this paper, designer’s bidirectional behavior of task selection integrating passive selection based on website recommendation and autonomous selection is modeled. First, the model of passive selection behavior by website recommendation is proposed with application of collaborative filtering algorithm, based on a three-dimensional matrix including information of design agents, tasks, and skills; second, the model of autonomous selection behavior is described in consideration of factors such as skill and incentive; third, the model of bidirectional selection behavior is described integrating the aforementioned two selection algorithms. At last, contrast simulation analysis of bidirectional selection, passive selection based on website recommendation, and autonomous selection is proposed with ANOVA, and results show that task selection behavior has significant effect on OSD evolution process and that bidirectional selection behavior is more effective to shorten evolution cycle according to the experiment settings. In addition, the simulation study testifies the model of bidirectional selection by describing the task selection process of OSD in microperspective.