Aerospace product development value streams design and planning for sustainable performance improvement and optimal value under uncertainty

航空航天业对加拿大很重要，2013年为其国内生产总值贡献了近280亿美元，并提供了超过17万个就业岗位。该行业还将其活动的20%用于研究和开发，使其成为该国研究和开发最密集的行业之一。随着加拿大计划在2015年进入大型喷气式飞机市场，该行业将面临越来越复杂和不确定的产品开发环境。复杂的项目通常提供的收益少于预期，超出预算范围，并且交付较晚。考虑到航空航天业的产品开发周期和投资回收期非常长，加拿大工业从政府的大力援助中受益。为了确保加拿大航空航天工业的持续竞争力，减少工业对政府援助的依赖，以及与创造一个效率低下的工业相关的风险，提高航空航天产品开发价值流的绩效已成为一项迫切需要。本研究计划的目的是在加拿大航空航天产品开发价值流的不确定性下，为实现可持续的性能改进和最佳价值做出贡献。要实现这一目标，需要在产品开发价值流的设计、计划和控制中考虑多个战略和操作因素。这些因素与产品开发价值流的架构、法规遵从方法有关；利用和多任务处理水平，产品开发任务的大小和价值，以及不确定性等等。航空航天产品开发价值流的绩效受到缺乏包含这些因素的综合决策工具和过程的影响。短期内，该研究计划的重点是发现、建模和量化影响产品开发价值流、过程、项目和产品性能的因素，开发与产品开发性能度量相关的因素水平的模型，将因素整合到自适应产品开发随机建模过程中，以便为产品开发设计设定所需的因素水平。并建立了考虑因素水平和不确定性的先进规划控制优化模型。从长远来看，在设计和产品开发价值流的规划和控制中同时使用多因素水平将导致创建创新，稳健和系统的优化方法，支持航空航天工业产品开发绩效的可持续增强。

The aerospace sector is important to Canada, with a contribution of close to twenty eight billion dollars to its gross domestic product, and more than one hundred and seventy thousands jobs in 2013. The industry also invests twenty percent of its activities in research and development, making it one of the most research and development intensive industries in the country. As Canada plans to enter the large jet market segment in 2015, the industry will be faced with an increasingly complex and uncertain product development context. Complex projects typically provide less benefit than anticipated, exceed their budgetary envelope, and are delivered late. Considering the very long product development cycles and payback periods found in aerospace, the Canadian industry benefits from significant governmental assistance. Enhancing the performance of the aerospace product development value streams becomes an urgent necessity, to ensure the continued competitiveness of the aerospace industry in Canada, to reduce the industry reliance on governmental assistance, and the risks associated with creating an inefficient industry. The objective of this research program is to contribute to the efforts towards the sustainable performance improvement and optimal value under uncertainty of the Canadian aerospace product development value streams. To achieve this objective requires taking into consideration multiple strategic and operational factors in the design, planning and control of the product development value streams. Such factors relate to the architecture of the product development value streams, methods of compliance to regulation; utilization and multitasking levels, product development task size and value, and uncertainty among others. The performance of aerospace product development value streams is affected by the lack of integrated decision making tools and processes incorporating such factors. The focus of this research program in the short term is on the discovery, modeling and quantification of factors influencing the performance of product development value streams, processes, projects, and products, the development of models relating factors levels to product development performance measures, the integration of factors into an adaptive product development stochastic modeling process to set desired factors levels over time for the design of the product development, and the development of advanced planning and control optimization models taking into consideration factors levels and uncertainty.  In the long term the concurrent use of multiple factors levels in both the design, and the planning and control of the product development value streams will result in creating innovative, robust and systematic optimization approaches supporting the sustainable enhancement of the aerospace industry product development performance.