Manufacturing Enterprise Systems
(MES)
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CONTACTS
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PROGRAM GUIDELINES
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A revised version of the NSF Proposal & Award Policies &
Procedures Guide (PAPPG), NSF 09-1, was issued on October 1, 2008
and is effective for proposals submitted on or after January 5, 2009. Please be
advised that the guidelines contained in NSF 09-1 apply to proposals submitted
in response to this funding opportunity. Proposers who opt to submit
prior to January 5th, 2009, must also follow the guidelines
contained in NSF 09-1.
One of the most significant changes to the PAPPG is
implementation of the mentoring provisions of the America COMPETES Act.
Each proposal that requests funding to support postdoctoral researchers must
include, as a separate section within the 15-page project description, a
description of the mentoring activities that will be provided for such
individuals. Proposals that do not include a separate section on
mentoring activities within the Project Description will be returned without
review (see the PAPP Guide Part I: Grant Proposal Guide Chapter
II.C.2.d for further information).
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/bfa/dias/policy/docs/grantsgovguide.pdf)
DUE DATES
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Full Proposal Window
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January 15, 2009
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February 15, 2009
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January 15 - February 15, Annually Thereafter |
Full Proposal Window
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September 1, 2009
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October 1, 2009
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September 1 - October 1, Annually Thereafter |
Due dates repeat annually. Please reference the CMMI main page for further specifics concerning unsolicited proposal submission windows.
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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.
See additional information
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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