Open PD-12-1786 CFDA 47.041 Discretionary

Manufacturing Enterprise Systems

Posted by U.S. National Science Foundation

Opportunity snapshot. This Grants.gov announcement — Manufacturing Enterprise Systems — is cataloged under number PD-12-1786 and tied to CFDA assistance listing 47.041, posted by U.S. National Science Foundation. Grants.gov currently shows the opportunity as open, first posted on December 9, 2011 and last updated on September 19, 2013. The funding category is Discretionary, delivered as a grant.

Award economics. The award range on file is Varies by applicant. Cost sharing is not required, so applicants do not need to commit matching funds to be competitive on this opportunity. Federal award ranges are often upper bounds; actual allocations reflect program appropriations, the strength of the applicant pool, and the evaluation committee's scoring.

Deadline and action path. This opportunity is open, but Grants.gov has not published a hard closing date — check the official listing for the current deadline and any posted amendments. Every Grants.gov submission requires an active SAM.gov registration and a Unique Entity ID. Review the Eligibility section below carefully — federal eligibility categories (nonprofit, state or local government, tribal, individual, educational institution, small business) have distinct registration and reporting requirements. Pre-application outreach to the listed agency contact is permitted and often welcomed — it helps clarify scope and scoring priorities.

Award Range

Varies by applicant

Close Date

Not specified

Archived. Replaced by PD-13-1786.

Posted

December 9, 2011

Instrument

Grant

Description

The MES program supports research on design, planning, and control of operations in manufacturing enterprises. Research is supported that impacts the analytical and computational techniques relevant to extended enterprise operations and that offer the prospect of implementable solutions. Topics of interest include analytical and computational tools for optimal planning, monitoring, control, and scheduling of manufacturing and distribution operations, including maintenance and repair. Of particular interest are methods that incorporate increasingly rich enterprise process and product information and models, methods that address sustainability, and methods that incorporate characteristic uncertainty and risk.Investigators wishing to serve on a proposal review panel should email the Program Director with a short biographical sketch with a list of areas of expertise.

Eligibility

99

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

NSF grants.gov support <br/>grantsgovsupport@nsf.gov <br/>

Key Dates

Posted December 9, 2011
Close Date Not specified
Archive Date September 19, 2013
Last Updated September 19, 2013

Frequently Asked Questions

What is this grant opportunity?
This is a federal funding opportunity titled "Manufacturing Enterprise Systems", offered by U.S. National Science Foundation. It is associated with CFDA program 47.041. The MES program supports research on design, planning, and control of operations in manufacturing enterprises. Research is supported that impacts the analytical and computational techniques relevant t...
Is this opportunity still open?
Yes, this opportunity is currently open for applications.
How much funding is available?
The award range for this opportunity is Varies by applicant.
How do I apply?
Applications for federal grant opportunities are typically submitted through Grants.gov. Visit the official listing at grants.gov for application instructions, required documents, and submission deadlines.

Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.

Related

Data sourced from official U.S. government datasets. See our methodology for details. Retrieved and formatted by PlainGrants Editorial