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Manufacturing Enterprise Systems  (MES)

CONTACTS

Name Email Phone Room
Diwakar  Gupta dgupta@nsf.gov (703)292-7902   

PROGRAM GUIDELINES

Apply to PD 13-1786 as follows:

For full proposals submitted via FastLane: standard Grant Proposal Guide proposal preparation guidelines apply.
For full proposals submitted via Grants.gov: the NSF Grants.gov Application Guide; A Guide for the Preparation and Submission of NSF Applications via Grants.gov Guidelines applies. (Note: The NSF Grants.gov Application Guide is available on the Grants.gov website and on the NSF website at: http://www.nsf.gov/publications/pub_summ.jsp?ods_key=grantsgovguide)

Important Information for Proposers

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 15-1), is effective for proposals submitted, or due, on or after December 26, 2014. The PAPPG is consistent with, and, implements the new Uniform Administrative Requirements, Cost Principles, and Audit Requirements for Federal Awards (Uniform Guidance) (2 CFR 200). NSF anticipates release of the PAPPG in the Fall of 2014. Please be advised that, depending on the specified due date, the guidelines contained in NSF 15-1 may apply to proposals submitted in response to this funding opportunity.

DUE DATES

Full Proposal Window:  February 1, 2015 - February 17, 2015

February 1 - February 15, Annually Thereafter

Full Proposal Window:  September 1, 2015 - September 15, 2015

September 1 - September 15, Annually Thereafter

Due dates repeat annually. Please reference the CMMI main page for further specifics concerning unsolicited proposal submission windows.

 

Investigators wishing to serve on a proposal review panel should email the Program Director with a short biographical sketch and a list of areas of expertise.

SYNOPSIS

The MES program supports research on design, planning, and control of operations in manufacturing enterprises. Research is supported that is both grounded in an interesting and relevant application and requires the development of novel analytical and computational methodologies that may be of broader interest. Topics of interest include supply chain optimization and management; production planning and scheduling; monitoring and control of manufacturing processes; and 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.

 

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THIS PROGRAM IS PART OF

Advanced Manufacturing


What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)

Map of Recent Awards Made Through This Program

Discoveries



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