Civil, Mechanical and Manufacturing Innovation
Manufacturing Enterprise Systems
(MES)
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CONTACTS
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PROGRAM GUIDELINES
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Apply to PD 08-1786 as follows:
For full proposals submitted via FastLane:
standard Grant Proposal Guidelines apply.
For full proposals submitted via Grants.gov:
NSF Grants.gov Application Guide; A Guide for the Preparation and Submission of NSF Applications via Grants.gov Guidelines apply
(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)
Please be advised that the NSF Proposal & Award Policies & Procedures Guide (PAPPG) includes
revised guidelines to implement the mentoring provisions of the America COMPETES Act (ACA)
(Pub. L. No. 110-69, Aug. 9, 2007.) As specified in the ACA, each proposal that requests
funding to support postdoctoral researchers must include a description of the mentoring
activities that will be provided for such individuals. Proposals that do not comply
with this requirement will be returned without review (see the PAPP Guide Part I:
Grant Proposal Guide Chapter II for further information about the implementation of
this new requirement).
DUE DATES
Full Proposal Window: September 1, 2009
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October 1, 2009
September 1 - October 1, Annually Thereafter
Full Proposal Window: January 15, 2010
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February 15, 2010
January 15 - February 15, Annually Thereafter
Due dates repeat annually. Please reference the CMMI main page for further specifics concerning unsolicited proposal submission windows.
SYNOPSIS
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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 planning, monitoring, control, and scheduling of manufacturing and distribution operations, and development of methods for optimization of manufacturing enterprises in the presence of a high degree of uncertainty and risk.
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THIS PROGRAM IS PART OF
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Advanced Manufacturing
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Abstracts of Recent Awards Made Through This Program
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