优化航空航天制造成本的苏格拉底方法

Lisa Sivertson
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引用次数: 0

摘要

在航空航天开发和制造环境中,测试成本占整个项目成本的很大一部分。广泛的测试程序会导致成本的增加和所需产品和技术的不可预见的延迟。平均而言,测试成本约占总成本的30%。缺乏在早期开发并在整个项目生命周期中维护的经过深思熟虑的测试策略会导致高操作现场故障,增加测试设备和单元生产成本,延迟单元集成,冗余制造测试,以及向生产的不良过渡以及项目风险的增加。本文描述了不断发展的程序测试策略的概念,以及测试架构师的角色,以实现在整个程序生命周期中减少测试成本的目标。定义一个测试策略会在程序生命周期的早期产生结构清晰的测试计划和体系结构、优化的测试事件计划和全面的测试工件。作为主题专家,测试架构师设置并驱动测试策略,确保整个测试程序在三个开发阶段(用户操作、开发和生产)中得到优化和一致。为了实现健壮的测试策略,测试架构师使用苏格拉底的方法来询问为什么需要执行测试,增加执行成功的开发测试程序的可能性,促进无缝过渡到生产,并优化对已部署产品的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Socratic Approach to Optimizing Aerospace Manufacturing Costs
In aerospace development and manufacturing environments, the cost of tests contributes a significant portion to the overall program costs. An extensive test program results in increased costs and unforeseen delays in fielding needed products and technologies. On average test represents approximately 30% of overall costs. The lack of a well thought out test strategy developed early and maintained through the entire program lifecycle results in high operational field failures, increased test equipment and unit production costs, delays in unit integration, redundant manufacturing tests, and poor transition into production as well as an increase in program risks. This paper describes the concept of an evolving program test strategy and the role of a Test Architect to achieve the goal of reducing test costs across the entire program lifecycle. Defining a test strategy results in clearly structured test plan and architecture, optimized test event planning and comprehensive test artifacts early in the program lifecycle. As a Subject Matter Expert, the Test Architect sets and drives the test strategy ensuring an overall test program is optimized and aligned across three phases of development: User Operations, Development and Production. To achieve a robust test strategy, the Test Architect uses a Socratic approach to question why a test needs to be performed, increasing the likelihood of executing a successful development test program, facilitating a seamless transition into production and optimizing the support of the deployed product.
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