dc.contributor.author | Larson, Richard Charles | |
dc.contributor.author | Diaz, Mauricio Gomez | |
dc.date.accessioned | 2017-05-18T14:22:37Z | |
dc.date.available | 2017-05-18T14:22:37Z | |
dc.date.issued | 2012-03 | |
dc.date.submitted | 2011-11 | |
dc.identifier.issn | 2164-3962 | |
dc.identifier.issn | 2164-3970 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/109157 | |
dc.description.abstract | We 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.sponsorship | United States. National Institutes of Health (5U01GM094141-02) | en_US |
dc.language.iso | en_US | |
dc.publisher | Institute for Operations Research and the Management Sciences (INFORMS) | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1287/serv.1120.0006 | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | PMC | en_US |
dc.title | Nonfixed Retirement Age for University Professors: Modeling Its Effects on New Faculty Hires | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Larson, 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.department | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Institute for Data, Systems, and Society | en_US |
dc.contributor.mitauthor | Larson, Richard Charles | |
dc.contributor.mitauthor | Gomez Diaz, Mauricio | |
dc.relation.journal | Service Science | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dspace.orderedauthors | Larson, Richard C.; Gomez Diaz, Mauricio | en_US |
dspace.embargo.terms | N | en_US |
dc.identifier.orcid | https://orcid.org/0000-0003-2776-4900 | |
mit.license | OPEN_ACCESS_POLICY | en_US |