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dc.contributor.advisorRetsef Levi and David Simchi-Levi.en_US
dc.contributor.authorBen-Zvi, Noaen_US
dc.contributor.otherLeaders for Global Operations Program.en_US
dc.date.accessioned2014-10-21T17:25:49Z
dc.date.available2014-10-21T17:25:49Z
dc.date.copyright2014en_US
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/91096
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. In conjunction with the Leaders for Global Operations Program at MIT.en_US
dc.descriptionThesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2014. In conjunction with the Leaders for Global Operations Program at MIT.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (page 63).en_US
dc.description.abstractMassachusetts General Hospital (MGH) is ranked as the top hospital in New England and second nation-wide. It is also the largest hospital in New England; it uses an average of 58 operating rooms, where approximately 150 surgical procedures are performed daily. Management of surgical supplies is a critical component of the processes supporting this infrastructure. Specifically, ensuring the right equipment and supplies are available at the right time is critical for the efficiency and quality outcomes of each of the procedures. The materials management group handles over 10,000 unique items, purchased from more than 400 vendors. The majority (60-70%) of disposable supplies are ordered through Owens & Minor, a medical and surgical supplies distributor. The supplies are stored in multiple locations throughout the hospital, including two central locations as well as carts and cabinets on the surgical floors and in the operating rooms. The work described in this thesis focuses on the inventory management of disposable surgical supplies, where the current system design has inefficiencies in the inventory levels and location of items. Using a data-driven approach, based on historical demand, we calculate base stock levels by item that maintain three days of inventory at a 99 percent service level. In addition, we suggest a methodology to support decisions on inventory locations of the different items. Implementation of the recommended changes is estimated to result in savings of 30-40% in inventory levels (and space), corresponding to a one time saving of $700,000-$900,000, depending on the implementation scenario. In addition, the reduction in inventory levels can be translated to future savings in inventory holding costs at an estimated 40% rate, leading to a saving of roughly $300,000 annually.en_US
dc.description.statementofresponsibilityby Noa Ben-Zvi.en_US
dc.format.extent70 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.subjectSloan School of Management.en_US
dc.subjectLeaders for Global Operations Program.en_US
dc.title(OR)² : operations research applied to operating room supply chainen_US
dc.title.alternativeOperations research applied to operating room supply chainen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.description.degreeM.B.A.en_US
dc.contributor.departmentLeaders for Global Operations Program at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentSloan School of Management
dc.identifier.oclc892732186en_US


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