OPTIMIZATION TECHNOLOGIES, INC. — Department of Defense SBIR Phase II: MDA21-007
OPTIMIZATION TECHNOLOGIES, INC. — SBIR Phase II award from Department of Defense.
Phase II SBIR prototype / development signal
- Phase II is where Department of Defense funds deeper R&D after feasibility. Incumbents with Phase II history are serious competitors on adjacent topics.
- Use this award as past-performance context and to map customer organizations for STRATFI/TACFI-style transition planning.
- Obligated amount $1,482,478 is consistent with substantial Phase II-scale effort; compare to related awards from the same agency.
- Topic code MDA21-007 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $1,482,478
- Agency
- Department of Defense · Missile Defense Agency
- Program / Phase
- SBIR · Phase II
- Topic
- MDA21-007
- Solicitation
- 21.2
- NAICS
- —
- Place of performance
- CO
- Period
- 2023-04-19 → 2025-04-18
Description
An AI/ML-enabled simulation optimization tool can exploit existing simulation models to streamline the scenario planning and analysis process. Our Phase II project will focus on using AI/ML techniques and simulation optimization to solve the problem of generating a minimal collection of test scenarios, using the minimum number of shared scenario components that meets a required set of test objectives. Each individual scenario taken through the end to end scenario planning process involves substantial effort including discussion, documentation, and manual scenario generation in high fidelity tools. Likewise, scenario components require a great deal of time and effort to prepare for the test event. We will explore the use of an optimization tool with medium fidelity digital simulation models early in the scenario planning process to minimize the required test scenarios and scenario components. Reducing the number of test scenarios and scenario components has the potential to significantly reduce the end to end scenario planning timeline and associated costs of both planning and execution. We will leverage the SBIR-derived OptDef simulation optimization and analysis tool to prototype our scenario planning optimization approach. We will explore ways for this technology to be used in digital event test planning to enable maximum benefit. Approved for Public Release | 22-MDA-11340 (16 Dec 22)