# Collaborative Research: Enhancing Stochastic Supply Chains via Cascading Simulation and Adjustable Optimization

**Budget Signal Score:** 55/100

| Field | Value |
|---|---|
| Institution | Texas Tech University |
| Location | LUBBOCK, TX |
| Project | Collaborative Research: Enhancing Stochastic Supply Chains via Cascading Simulation and Adjustable Optimization |
| Award amount | $315,912 |
| Obligated so far | $315,912 |
| Awarded | 2026-08-17 |
| Period | 2026-10-01 to 2029-09-30 |
| Program | OE Operations Engineering |
| Directorate / division | ENG / CMMI |
| Award ID | 2548574 |

## Why this score
- Award of $300K or more.
- Equipment- and compute-heavy field.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2548574). Last refreshed: 2026-11-04T18:13:44.963Z.
Award data comes from the NSF Awards API and may be amended by NSF. Institution-level only; investigator contact details are not included. Informational only.