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

机译:开源设计过程中任务选择的设计者双向行为的建模与仿真研究

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摘要

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.
机译:开源设计(OSD)是一种新兴产品设计模式。在OSD过程中,如何选择正确的任务直接影响任务完成的效率和质量,从而影响OSD的整个演化过程。在本文中,建模设计人员任务选择的双向行为,基于网站推荐和自主选择集成被动选择。首先,基于三维矩阵,包括应用协作滤波算法,提出了网站推荐的被动选择行为模型,包括三维矩阵,包括设计代理,任务和技能的信息;其次,考虑到诸如技能和激励等因素来描述自主选择行为的模型;第三,描述了对前述两个选择算法的前述选择行为的模型。最后,双向选择的对比度模拟分析,基于网站推荐的被动选择,以及ANOVA提出了自主选择,结果表明,任务选择行为对OSD演化过程具有显着影响,并且双向选择行为更有效地缩短进化根据实验设置周期。此外,仿真研究通过描述了微量拍摄的OSD任务选择过程来证明双向选择的模型。

著录项

  • 作者

    Shuo Zhang; Yingzi Li;

  • 作者单位
  • 年度 2017
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  • 原文格式 PDF
  • 正文语种 eng
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