Show simple item record

dc.contributor.advisorChairperson, Graduate Committee: David Claudioen
dc.contributor.authorHarris, Sean Paulen
dc.coverage.spatialUnited Statesen
dc.date.accessioned2021-05-19T15:53:02Z
dc.date.available2021-05-19T15:53:02Z
dc.date.issued2019en
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/16188en
dc.description.abstractThe United States healthcare system represents approximately 18% of the nation's GDP and its numerous challenges continue to receive significant attention from researchers. Within healthcare, operating rooms (ORs) often represent the largest source of revenue and costs in a hospital. Consequently, OR surgical scheduling strategies have been thoroughly examined from a wide variety of performance measures such as overtime, patient waiting time, and utilization rates. ORs are a complex system, and researchers have begun to consider the upstream and downstream resources involved in the surgical process such as the Post Anesthesia Care Unit, Intensive Care Unit, and bed availability. However, two factors that have only begun to be examined are the sterilization process of OR instrumentation and the assignment of instruments into trays and preference cards, either by surgical procedure or individual surgeon preference. Using both collected and historical data, this research 1) examined and improved how the block schedule of an OR suite affected the Sterilization Processing Department (SPD) and 2) examined and improved preference cards for surgical cases. A series of mathematical models optimized surgical block schedules while considering the impact on the SPD and a goal programming model was developed for the tray optimization problem. A comprehensive simulation model of the OR suite and SPD tested the output of the mathematical models. The simulation results confirmed block scheduling does affect SPD performance. A linear goal programming formulation that smoothed SPD workload across block times was the most effective type of model to optimize block scheduling. A goal programming tray optimization model improved expected instrument utilization rates. For practical applications, this research suggests reducing SPD staff turnover is a more effective method for improving SPD performance than rearranging the OR block schedule. This research is among the first of its kind to consider SPD workload as an objective in OR block scheduling models, to consider expected instrument non-usage rates in the tray optimization problem, and to develop a comprehensive simulation model of an OR suite and its SPD to test the results of mathematical models.en
dc.language.isoenen
dc.publisherMontana State University - Bozeman, Norm Asbjornson College of Engineeringen
dc.subject.lcshOperating roomsen
dc.subject.lcshSurgeryen
dc.subject.lcshMedical instruments and apparatusen
dc.subject.lcshSterilizationen
dc.subject.lcshWorkflowen
dc.subject.lcshComputer simulationen
dc.titleOptimizing operating room scheduling considering instrument sterilization processingen
dc.typeDissertationen
dc.rights.holderCopyright 2019 by Sean Paul Harrisen
thesis.degree.committeemembersMembers, Graduate Committee: Durward K. Sobek II; Andreas Thorsen; Maria Velazquezen
thesis.degree.departmentMechanical & Industrial Engineering.en
thesis.degree.genreDissertationen
thesis.degree.namePhDen
thesis.format.extentfirstpage1en
thesis.format.extentlastpage189en
mus.data.thumbpage187en


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record


MSU uses DSpace software, copyright © 2002-2017  Duraspace. For library collections that are not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material.