eCommons

 

STAFFING FOR HOUSEKEEPING OPERATIONS

dc.contributor.authorLi, Buyun
dc.contributor.chairSlaugh, Vince
dc.contributor.committeeMemberAnderson, Christopher K.
dc.date.accessioned2021-03-12T17:44:25Z
dc.date.available2021-03-12T17:44:25Z
dc.date.issued2020-08
dc.description49 pages
dc.description.abstractMotivated by hotel housekeeping staffing challenges, we study a model in which reusable resources require service between intervals of use by successive customers. For each day, the firm decides how many servers to work a shift, and when each should begin working. Customers arrive and depart randomly over the course of the day. The firm's objective is to minimize the combined staffing cost and cost of guests waiting. We use a sample average approximation approach to solve this problem as an integer linear program and provide structural properties for a simple version of the problem. We test the resulting policy on a discrete-event simulation using both stylized and empirical hotel guest arrival and departure data. We show that the optimization methods based scheduling heuristics can save up to 17\% of the total cost compared to a common industry staffing heuristic. With less or equal labor force than the common staffing, the schedule heuristics we propose can lower the guest wait time by up to 80\% at a higher guest flow level and 50\% at a lower level of guest flow. The optimization methods covered by this paper can be applied by hotel, airport, car rental managers to save the labor costs and improve service readiness.
dc.identifier.doihttps://doi.org/10.7298/2b6p-d662
dc.identifier.otherLi_cornell_0058O_10953
dc.identifier.otherhttp://dissertations.umi.com/cornell:10953
dc.identifier.urihttps://hdl.handle.net/1813/103162
dc.language.isoen
dc.subjectHousekeeping
dc.subjectlinear programming
dc.subjectSever breakdown and repair
dc.subjectStaffing
dc.titleSTAFFING FOR HOUSEKEEPING OPERATIONS
dc.typedissertation or thesis
dcterms.licensehttps://hdl.handle.net/1813/59810
thesis.degree.disciplineHotel Administration
thesis.degree.grantorCornell University
thesis.degree.levelMaster of Science
thesis.degree.nameM.S., Hotel Administration

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