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dc.contributor.authorLarson, Richard Charles
dc.contributor.authorDiaz, Mauricio Gomez
dc.date.accessioned2017-05-18T14:22:37Z
dc.date.available2017-05-18T14:22:37Z
dc.date.issued2012-03
dc.date.submitted2011-11
dc.identifier.issn2164-3962
dc.identifier.issn2164-3970
dc.identifier.urihttp://hdl.handle.net/1721.1/109157
dc.description.abstractWe model the set of tenure-track faculty members at a university as a queue, where “customers” in queue are faculty members in active careers. Arrivals to the queue are usually young, untenured assistant professors, and departures from the queue are primarily those who do not pass a promotion or tenure hurdle and those who retire. There are other less-often-used ways to enter and leave the queue. Our focus is on system effects of the elimination of mandatory retirement age. In particular, we are concerned with estimating the number of assistant professor slots that annually are no longer available because of the elimination of mandatory retirement. We start with steady-state assumptions that require use of Little's Law of Queueing, and we progress to a transient model using system dynamics. We apply these simple models using available data from our home university, the Massachusetts Institute of Technology.en_US
dc.description.sponsorshipUnited States. National Institutes of Health (5U01GM094141-02)en_US
dc.language.isoen_US
dc.publisherInstitute for Operations Research and the Management Sciences (INFORMS)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1287/serv.1120.0006en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleNonfixed Retirement Age for University Professors: Modeling Its Effects on New Faculty Hiresen_US
dc.typeArticleen_US
dc.identifier.citationLarson, Richard C. and Gomez Diaz, Mauricio. “Nonfixed Retirement Age for University Professors: Modeling Its Effects on New Faculty Hires.” Service Science 4, no. 1 (March 2012): 69–78. © 2012 Institute for Operations Research and the Management Sciences (INFORMS)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Societyen_US
dc.contributor.mitauthorLarson, Richard Charles
dc.contributor.mitauthorGomez Diaz, Mauricio
dc.relation.journalService Scienceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsLarson, Richard C.; Gomez Diaz, Mauricioen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-2776-4900
mit.licenseOPEN_ACCESS_POLICYen_US


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