SBIR-STTR Award

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.

The broader impact of this Small Business Innovation Research (SBIR) Phase II project seeks to increase the competitiveness of the US in manufacturing high value parts for shops with high product variety, low volumes, large lead times, and large set up times. The application addresses a need to find the optimal way of utilizing existing resources in order to maximize production rates. The proposed technology may provide an affordable and easy-to-use solution for target markets in aerospace and medical technologies industries. The technology may also help strengthen the national defense of the United States by facilitating onshoring of defense manufacturing by making domestic producers more cost competitive.This Small Business Innovation Research (SBIR) Phase II project involves the development of a new technology that enables high value manufacturers in optimizing the flow of materials in their shops. For shops with high product variety, low volume, large lead times, and large set up times, there is a need to find the optimal way to utilize existing resources in order to maximize production rate. Most scheduling optimizers are unable to handle this problem reliably or affordably. The newly proposed methods, algorithms, and software may solve this challenge. The business model for delivering this software solution is designed for small and medium size businesses in terms of both cost and usability perspectives. The solution demonstrates double digit improvements in all Key Performance Indicators (KPIs), such as on-time delivery (OTD), inventory turns, and profitability. Phase II work will mature shop optimization software through demonstration in a real aerospace parts factory.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.