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首页> 外文期刊>Procedia CIRP >A Statistical Solution to Mitigate Functional Requirements Coupling Generated from Process (Manufacturing) Variables Integration-part 2: A Case Study on Clarifying the Effect of Process (Manufacturing) Variables Integration on Functional Requirements Independency
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A Statistical Solution to Mitigate Functional Requirements Coupling Generated from Process (Manufacturing) Variables Integration-part 2: A Case Study on Clarifying the Effect of Process (Manufacturing) Variables Integration on Functional Requirements Independency

机译：减轻过程（制造）变量集成产生的功能需求耦合的统计解决方案，第2部分：澄清过程（制造）变量集成对功能需求独立性影响的案例研究

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In this part of the work, to illustrate the strength of the “partial and semipartial correlation analysis, as the proposed solution described in detail in part 1, we consider design problem of the manufacturing system of a given product based on a set of hypothetical data and show how to explore the most appropriate integration choices in which the (causal) dependencies of the concerned PVs are minimal. Based on the results of this study, we emphasize that incorporating the identified sensitive PVs into the integration process will eventually lead to coupling among a subset of the product's FRs and isolation of these PVs is recommended as an ideal solution. However, sometimes, in the real world, for some of logical and/or technical reasons; such an ideal solution might be impossible. To deal with such a dichotomy, we use the Design of Experiments (DOE) methodology and offer the idea of controlling the values of the concerned PVs at specific levels to find the most appropriate condition (s) under which the minimal (causal) correlation between the integrated PVs may be achievable. On the basis of this idea, the worthwhile information the manufacturing system designers require to detect the safe levels at which the PVs can be integrated is achievable.
机译：在本部分的工作中，为了说明“部分和半部分相关性分析”的优势，如在第1部分中详细描述的建议解决方案，我们基于一组假设数据考虑给定产品的制造系统的设计问题。并展示了如何探索最合适的集成选择，其中相关PV的（因果）依赖性最小。根据这项研究的结果，我们强调将识别出的敏感PV整合到集成过程中最终会导致部分产品FR之间的耦合，建议将这些PV隔离作为理想的解决方案。但是，有时在现实世界中，出于某些逻辑和/或技术原因;这样理想的解决方案可能是不可能的。为了解决这种二分法，我们使用实验设计（DOE）方法，并提出了在特定水平上控制相关PV值的想法，以找到最合适的条件，在此条件下，最小的（因果）相关性集成的PV可能是可以实现的。基于此想法，可以实现制造系统设计人员检测可集成PV的安全级别所需的有价值信息。

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