[U.S. National Science Foundation](https://www.nsf.gov)

No active deadlines (program archived)

Award size varies; typically supports multi-year research projects

Supports fundamental research in mathematical models, analysis, and algorithms for optimal decision-making in complex systems, including new directions in simulation optimization and adaptive systems.

This program is archived; see NSF site for successor opportunities.

--- ## Description This program supported fundamental research in operations research, focusing on the development of innovative mathematical models, analytical methods, and algorithms for optimal or near-optimal decision-making. The scope included both traditional areas such as discrete and continuous optimization and stochastic modeling, as well as emerging topics like simulation optimization and self-optimizing systems that observe, learn, and adapt to changing environments. The aim was to advance the design and operation of manufacturing, service, and other complex systems. --- ## Due Dates - No upcoming deadlines; this program is archived. - For current opportunities, consult the NSF [Operations Engineering program page](https://www.nsf.gov/funding/opportunities/oe-operations-engineering/pd19-006y). --- ## Funding Amount - Award sizes and durations varied by project and proposal scope. - Typical NSF research grants support multi-year projects; consult the successor program for current funding levels. --- ## Eligibility - Open to a wide range of applicants ("Unrestricted"), including: - Universities and colleges - Non-profit organizations - For-profit organizations - State and local governments - Other research institutions --- ## Application Process - This opportunity is archived and not accepting proposals. - For active funding, refer to the [current NSF program solicitation](https://www.nsf.gov/funding/opportunities/oe-operations-engineering/pd19-006y) and follow the NSF [Proposal & Award Policies & Procedures Guide (PAPPG)](https://www.nsf.gov/policies/pappg). - Proposals must be prepared and submitted via NSF FastLane, Research.gov, or Grants.gov, as specified in the current solicitation. --- ## Additional Information - All proposals must comply with the requirements in the NSF PAPPG in effect at the time of submission. - NSF awards made on or after October 1, 2024, are subject to updated award conditions reflecting revised federal guidance. - For indirect cost rates and other policy updates, see the [NSF policy notice](https://www.nsf.gov/policies/document/indirect-cost-rate). --- ## External Links - [Archived Program Page (NSF)](https://www.nsf.gov/funding/opportunities/or-operations-research/13341/pd10-5514) - [Successor Program: Operations Engineering (NSF)](https://www.nsf.gov/funding/opportunities/oe-operations-engineering/pd19-006y) - [NSF Proposal & Award Policies & Procedures Guide (PAPPG)](https://www.nsf.gov/policies/pappg) - [Award Search: Browse funded projects](https://www.nsf.gov/awardsearch/advancedSearchResult?ProgEleCode=551400&BooleanElement=Any&BooleanRef=Any&ActiveAwards=true#results) --- ## Contact Information | Name | Email | Phone | |-------------|---------------------------|-------------| | Michael Fu | [mfu@nsf.gov](mailto:mfu@nsf.gov) | 703-292-8360 | For technical issues with Grants.gov, contact: [grantsgovsupport@nsf.gov](mailto:grantsgovsupport@nsf.gov)

Operations Research

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