OPTIMIZATION TECHNOLOGIES, INC. — Department of Defense SBIR Phase II: MDA16-006

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.
  • At $1,730,000, this is a large obligation for typical SBIR Phase sizing — worth reviewing for scope breadth and teaming opportunity.
  • Topic code MDA16-006 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.

Informational capture context from public federal data — not legal or bid advice.

Amount
$1,730,000
Agency
Department of Defense · Missile Defense Agency
Program / Phase
SBIR · Phase II
Topic
MDA16-006
Solicitation
16.2
NAICS
Place of performance
CO
Period
2019-08-05 → 2022-07-21

Description

A simulation optimization tool can exploit existing BMDS simulation models to streamline the scenario generation analysis process. Our Phase II project will focus on using a simulation optimization approach 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 generation 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 generation 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 generation timeline and associated costs. We will leverage the SBIR-derived OptDef simulation optimization and analysis tool to prototype our scenario generation optimization approach. We will also explore ways for this technology to be used in digital event test planning and also exercise event test planning to enable maximum benefit. Approved for Public Release | 19-MDA-9932 (21 Feb 19)