We look back at seven years of work to reduce test cost in complex aerospace manufacturing organizations using a bill-of-materials visualization, describing the evolution from a data integration team to a data analytics team, and several of the innovations we developed to be successful. We illustrate a maturity path for digital transformation using open-source tools that visualize over a hundred products, comprised of thousands of parts and bills-of-material to optimize factory flow. We aggregate past work for reducing test cost in aerospace manufacturing, reinforcing and extending work of Deming, and place it in the context of evolving data science capabilities, specifically so others can evaluate how they might accelerate their own digital transformations. We follow the development of a single product from its conception through its deployment and use, a production flow visualization of bills-of-materials plus operations, and discuss how it facilitates analytics and decision-making, depicting complementary visual analytics capabilities built to support it. Reducing cost of testing in complex manufacturing environments is our primary focus by understanding how testing contributes to product cost, and to gain insight into the testing process to reduce testing – and ultimately product – cost. Complex manufacturing organizations considering digital transformations can evaluate the principles, approach, and problems we encountered throughout the team's evolution, specifically, how to extend Deming's work complemented by standard bill-of-materials plus operations visualizations to make critical manufacturing optimizations.

中文翻译：

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航空航天和国防材料清单可视化：数字化转型回顾


我们回顾了七年来使用物料清单可视化降低复杂航空航天制造组织的测试成本的工作，描述了从数据集成团队到数据分析团队的演变，以及我们开发的一些成功创新。我们使用开源工具展示了数字化转型的成熟路径，这些工具可以可视化由数千个零件和物料清单组成的一百多种产品，以优化工厂流程。我们汇总了过去为降低航空航天制造测试成本所做的工作，加强和扩展了戴明的工作，并将其置于不断发展的数据科学能力的背景下，特别是以便其他人可以评估他们如何加速自己的数字化转型。我们跟踪单个产品从概念到部署和使用的开发过程，物料清单和操作的生产流程可视化，并讨论它如何促进分析和决策，描述为支持它而构建的补充可视化分​​析功能。通过了解测试如何影响产品成本，并深入了解测试过程以降低测试成本（最终降低产品成本），降低复杂制造环境中的测试成本是我们的首要关注点。考虑数字化转型的复杂制造组织可以评估我们在团队发展过程中遇到的原则、方法和问题，特别是如何扩展戴明的工作，并辅之以标准物料清单和运营可视化，以进行关键的制造优化。