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Reducing Development Risks of Future Space Systems Through Evidence Based Technology Roadmapping

机译:通过基于证据的技术路线式缩写,降低未来空间系统的发展风险

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Big space companies and organizations usually have a product portfolio of thousands of products and product families. They range from basic technologies, integrated into components or subsystems up until the final products. One of the most pressing questions for senior management is how to plan research and development(R&D) investments on the mid and long term to ensure a competitive product line-up, and which investments to prioritize to reduce the strategic risk in the long development cycles of space systems. Technology roadmapping has been for many years the classical way of approaching this challenge: technologies are mapped out and traded against each other, using engineering judgement and market analysis. While allowing for a basic planning, this approach does not consider technology interactions, nor adequately accounts for risks, side-effects and opportunities of cross-functional technology evolutions. New decision-making frameworks are emerging that allow for investment planning based on engineering data. These allow for the identification of cross-discipline synergies and graph-like technology mapping to support management in the decision-making process of R&D planning. With this approach, companies can now track, which products with which key technical performances they are going to be able to build e.g. 10 years from now, if they decide to invest in certain technologies today. For example, to answer the question: What are the impacts of a 10% capacity-per-mass increase of Li-Ion Batteries on development of launchers, satellites, space stations, rovers, etc.? By analyzing sensitivities through complex transfer functions in the implementation chain, the strategic risks and opportunities of these investments for future key performances can be quantified and evaluated. This paper explores successfully implemented frameworks (e.g. "Evidence Based Technology Roadmapping"), methodologies (e.g. use of the concurrent design method in roadmapping activities), ana
机译:大空间公司和组织通常拥有成千上万的产品和产品系列产品组合。它们的范围从基本技术,整合到组件或子系统直到最终产品。高级管理层最紧迫的问题之一是如何规划研究和开发(研发)投资于中期和长期投资,以确保竞争产品阵容,并将其投资优先考虑降低长发循环的战略风险空间系统。技术路线表达了多年的古典方式接近这一挑战:技术在使用工程判断和市场分析中映射并相互交易。在允许基本规划的同时,这种方法不考虑技术互动,也不需要充分考虑风险,副作用和交叉功能技术演变的机遇。新的决策框架正在出现允许基于工程数据的投资规划。这些允许识别跨学科协同作用和图形技术映射,以支持研发计划决策过程中的管理。通过这种方法,公司现在可以追踪哪些产品,其中能够构建它们的主要技术性能。从现在开始10年,如果他们决定今天投资某些技术。例如,要回答问题:锂离子电池的10%容量增长的影响是什么,就发射器,卫星,空间站,流浪者等开发?通过在实施链中通过复杂的转移职能分析敏感性,可以量化和评估这些投资的战略风险和机会。本文探讨了成功实施的框架(例如,“循证技术路线表”),方法(例如,在路线贴图活动中使用并发设计方法),ANA

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