SBIR/STTR Research Award

SBIR Phase I: Optimal Enterprise Timetabling for Academic Institutions

Award identifier e0b6f01cb7bf1adceb37d2a3d0a511f5c1045bd3a76dd490d53f09e8302b5410Awarding agency National Science Foundation

Award amount

$141,450

Program and phase

SBIR · Phase I

Award year

2010

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
GMusings
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
NSF 09-541
Topic code
IC

Research abstract

This Small Business Innovation Research (SBIR) Phase I research project is aimed at providing integrated software solutions that will help academic institutions address critical issues of cost reduction, operating efficiency, program management, student retention and revenue generation. Every academic institution has to regularly develop and update course schedules that are intended to satisfy program requirements, student needs, teacher preferences and space constraints. Additional pressures arise as institutions try to keep costs low and/or increase revenues. This challenging optimization problem, called "timetabling" in the literature, has never had a near-optimal theoretical or practical solution for any but the smallest institutions, or limited versions of the problem. Moreover, there is no existing integrated, near-optimal software solution that can support studies of strategic issues such as new buildings, new programs, parking, environmental impacts, security, etc. This research will focus on extending methodologies, successfully developed for complex manufacturing applications, to enterprise timetabling in academic institutions A significant dichotomy exists between the societal need to make higher education accessible, and data showing college costs rising much faster than inflation. Today, most institutions control costs crudely with across-the-board budget cuts, layoffs, larger classes and tapping into endowments. A commercialized product based on the proposed research would provide institutions with vastly improved planning and administrative capabilities, enabling them to better control costs, develop new strategies for critical issues, improve student experiences, increase revenues and more rapidly update programs.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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