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Value sensitivity of Quality Function Deployment approaches in systems engineering-driven construction projects

机译:系统工程驱动建设项目质量函数部署方法的价值敏感性

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Quality Function Deployment (QFD) matrices are essential to systems engineering approaches as they facilitate stakeholder-value prioritization, requirement analyses, and conflict resolutions through organizing and quantifying qualitative considerations. Unfortunately, there can be concern to the verity of these quantifications and the associated sensitivity of the systems engineering process. We explore this matter through the use of probabilistic models and computer simulations to illustrate how QFD variances can impact decision-making. We use a simplified QFD implementation for large-scale photovoltaic system construction projects—wherein we relate stakeholder prioritization to concept selections that dictate the quality of the constructed systems—to facilitate this discussion. Our results support other research, which indicate that QFD is robust and can provide meaningful results even when faced with significant degrees of uncertainty. This study not only demonstrates the robustness of QFD, it also conveys the importance of meticulous QFD implementation and illustrates an application of systems engineering in construction workflows.
机译:质量函数部署(QFD)矩阵对于系统工程方法至关重要,因为他们通过组织和量化定性考虑来实现利益相关者 - 价值优先级,要求分析和冲突决议。不幸的是,可以关注这些量化的实验以及系统工程过程的相关灵敏度。我们通过使用概率模型和计算机模拟来探讨此事,以说明QFD差异如何影响决策。我们对大规模光伏系统建设项目使用简化的QFD实现 - 其中,我们将利益相关者优先级联系到决定构建系统质量的概念选择 - 以促进该讨论。我们的结果支持其他研究,表明QFD是强大的,即使面对具有显着程度的不确定性,也可以提供有意义的结果。这项研究不仅展示了QFD的稳健性,而且还传达了细致的QFD实施的重要性,并说明了系统工程在施工工作流程中的应用。

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