SBIR Phase I: OptimizerAero - A robust production scheduling optimizer for aerospace manufacturers

SBIR 第一阶段：OptimizerAero - 面向航空航天制造商的强大生产调度优化器

• 批准号: 2036546
• 负责人: Vivek Saxena
• 金额: $ 24.9万
• 依托单位: ADVISORY AEROSPACE OSC LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-02-01 至 2022-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2036546&HistoricalAwards=false
• 关键词: SBIR; Phase; OptimizerAero; robust; production

The broader impact of this Small Business Innovation Research (SBIR) Phase I project will be in making US manufacturing base more competitive. The aerospace supply chain contains thousands of less digitally sophisticated Small and Medium Enterprise (SME) manufacturers. The SMEs constitute a vast aerospace supply base across the country and have largely remained unaffected by the advances in operations research. Consequently, local manufacturers compete unfavorably with those in low-cost countries. While the computing power and speed of optimization techniques have increased to a point where one could now solve large-scale industry problems in real time, little attention has been given to the many modeling decisions that need to be made to accurately capture the complexities of real factory physics into a prescriptive mathematical model. This project will develop of a plug-and-play software for SMEs this estimated $850 M market that will improve efficiency along the entire supply chain. The resulting solution is expected to be a production optimizer that can be implemented in less than two weeks at any SME aerospace manufacturer using their existing data streams. Use of digital technologies and operations research advances embodied in this project will ultimately play an appreciable role in bringing outsourced manufacturing back to the United States.The proposed project will advance translation of powerful optimization tools in production planning and execution. The proposed contributions include 1) a hierarchical approach that allows for planning and scheduling at different timescales, 2) computational improvements to classic operations models to incorporate real-time issues such as incomplete orders, carryover of production and continuation of setup activities across periods, 3) the design of algorithms to adapt the shop’s data to the different timescales while preserving model accuracy, 4) the analysis of the impact of planning horizon, time period choice and objective coefficients, as well as the creation of systematic schemes to determine their best value to meet user needs, and 5) the development of heuristics for quick re-optimization to respond to small deviations from the plan.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项小型企业创新研究（SBIR）I阶段项目的更广泛影响将使我们的制造基础更具竞争力。航空航天供应链包含数千个数字化的小型和中型企业（SME）制造商。中小企业在全国范围内构成了广阔的航空航天供应基地，并且在很大程度上不受运营研究进展的影响。因此，当地制造商与低成本国家的制造商竞争不利。尽管计算能力和优化技术已经提高到现在可以实时解决大规模行业问题的地步，但对许多建模决策的关注很少，这些决策需要做出将真实工厂物理学的复杂性准确地捕获成一个规定的数学模型。该项目将开发一个为中小企业的插件软件，该估计的850米市场将提高整个供应链的效率。最终的解决方案预计将是一种生产优化器，可以使用其现有数据流在任何SME航空航天制造商的不到两周内实施。在该项目中体现的数字技术和运营研究进展最终将在将外包制造重新带回美国方面发挥着令人赞赏的作用。拟议的项目将推动在生产计划和执行中转化强大的优化工具。拟议的贡献包括1）一种层次方法，允许在不同的时间表上计划和日程安排，2）对经典操作模型的计算改进，以结合实时订单等实时问题，例如不完整的订单，生产的结转和跨期间的设置活动，3）算法的设计，以使商店的数据适应不同的时间范围，以确定不同的时间范围，以确定不同的时间范围，并确定4）准确的范围。系数以及制定系统的方案以确定其最佳价值以满足用户需求，以及5）启发式方法的发展，以快速重新优化，以响应与计划的小小不同。该奖项反映了NSF的法定任务，并通过使用该基金会的智力优点和广泛的影响来评估Criteria criteria criteria criteria被视为珍贵的支持。