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Improved Bayesian Causal Map Approach for Community-Based Product Design Project Feasibility Analysis
IEEE Transactions on Engineering Management ( IF 4.6 ) Pub Date : 2020-08-01 , DOI: 10.1109/tem.2018.2889841
Maolin Yang , Pingyu Jiang

The development of sharing economy and social media technology leads to a new design mode—community-based product design (CPD), including crowdsourcing design, open source design, and maker product design. CPD projects have the potential to use socialized design resource for creative product development because they are openly participated by a large number of socialized designers. However, CPD projects are unreliable, unpredictable, and usually endure low success rate. We believe that the reason for these problems is that many unreliable factors caused by the nature of CPD mode are disturbing the implementation of CPD projects, but few research works can provide systematic and quantitative understanding of the relationship between these factors and CPD project feasibility, which makes it difficult for stakeholders to evaluate and manage their CPD projects. To mitigate these problems, in this paper an improved Bayesian causal map approach is developed and used to build a CPD project feasibility analysis model. The model can reveal the interaction relationship among the factors, and provide quantitative evaluation of CPD project feasibility given the states of the factors. In this way, the model can help the stakeholders in CPD project management by showing them which factors require priority processing and providing them with the prediction of project success rate, and eventually improve the overall reliability of CPD projects. The model has been verified through sensitivity analysis and post analysis on real CPD projects.

中文翻译:

基于社区的产品设计项目可行性分析的改进贝叶斯因果图方法

共享经济和社交媒体技术的发展催生了一种新的设计模式——基于社区的产品设计(CPD),包括众包设计、开源设计和创客产品设计。CPD项目有大量社会化设计师的公开参与,因此具有利用社会化设计资源进行创意产品开发的潜力。但是,CPD 项目不可靠、不可预测,并且通常成功率较低。我们认为造成这些问题的原因是CPD模式的性质所导致的许多不可靠因素干扰了CPD项目的实施,但很少有研究工作能够对这些因素与CPD项目可行性之间的关系提供系统和定量的理解,这使得利益相关者难以评估和管理他们的 CPD 项目。为了缓解这些问题,本文开发了一种改进的贝叶斯因果图方法,并将其用于构建 CPD 项目可行性分析模型。该模型可以揭示各因素之间的相互作用关系,并根据各因素的状态对CPD项目的可行性进行定量评价。这样,该模型可以通过向利益相关者展示哪些因素需要优先处理,并为他们提供项目成功率的预测,从而帮助CPD项目管理中的利益相关者,最终提高CPD项目的整体可靠性。该模型已经通过对真实 CPD 项目的敏感性分析和事后分析得到验证。在本文中,开发了一种改进的贝叶斯因果图方法,并将其用于构建 CPD 项目可行性分析模型。该模型可以揭示各因素之间的相互作用关系,并根据各因素的状态对CPD项目的可行性进行定量评价。这样,该模型可以通过向利益相关者展示哪些因素需要优先处理,并为他们提供项目成功率的预测,从而帮助CPD项目管理中的利益相关者,最终提高CPD项目的整体可靠性。该模型已经通过对真实 CPD 项目的敏感性分析和事后分析得到验证。在本文中,开发了一种改进的贝叶斯因果图方法,并将其用于构建 CPD 项目可行性分析模型。该模型可以揭示各因素之间的相互作用关系,并根据各因素的状态对CPD项目的可行性进行定量评价。这样,该模型可以通过向利益相关者展示哪些因素需要优先处理,并为他们提供项目成功率的预测,从而帮助CPD项目管理中的利益相关者,最终提高CPD项目的整体可靠性。该模型已经通过对真实 CPD 项目的敏感性分析和事后分析得到验证。并根据因素的状态对CPD项目的可行性进行定量评估。这样,该模型可以通过向利益相关者展示哪些因素需要优先处理,并为他们提供项目成功率的预测,从而帮助CPD项目管理中的利益相关者,最终提高CPD项目的整体可靠性。该模型已经通过对真实 CPD 项目的敏感性分析和事后分析得到验证。并根据因素的状态对CPD项目的可行性进行定量评估。这样,该模型可以通过向利益相关者展示哪些因素需要优先处理,并为他们提供项目成功率的预测,从而帮助CPD项目管理中的利益相关者,最终提高CPD项目的整体可靠性。该模型已经通过对真实 CPD 项目的敏感性分析和事后分析得到验证。
更新日期:2020-08-01
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