Show simple item record

dc.contributor.advisorDavid Gamarnik and Stanley Gershwin.en_US
dc.contributor.authorBower, Andrew D. (Andrew Douglas)en_US
dc.contributor.otherLeaders for Global Operations Program.en_US
dc.date.accessioned2014-12-08T18:57:45Z
dc.date.available2014-12-08T18:57:45Z
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/92225
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 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.description"June 2014." Cataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 46-47).en_US
dc.description.abstractThe Amgen Manufacturing Ltd. facility in Juncos, Puerto Rico faces a challenge encountered by manufacturers across industries: How can they make the best use of their existing resources? As production volume and product mix increase, how are costs kept from increasing as well? This LGO internship looked to answer those questions in the context of raw material receiving for biopharmaceutical manufacturing. Over the course of the seven month project, an analytical planning tool centered on scheduling optimization and priority queuing was developed, highlighting areas for improvement. Based on insight gained from the tool, a plan was established which can reduce turnaround time (TAT) by 50% and work in process (WIP) by 45% in the raw material sampling area. The improvements will not only provide financial and operational benefits to the organization, but serve as a foundation for continuous improvement as the findings from this project are applied elsewhere. This project highlights the importance of understanding how process inputs affect process output. In the case of raw material sampling, the variable mix of incoming materials exceeded the capacity for processing, particularly for solid materials, elevating the average TAT and WIP. Aligning sampling's capabilities to the input work makes it more flexible and better able to handle future demand. However, the ideal state for the area involves working with the upstream group, supply chain, to level-load arrivals. In this case, WIP can be reduced over 60% from its current level while maintaining TAT adherence at the 50% improved rate. Further utilization gains are possible, but only through value stream analysis and enhanced collaboration between functional groups.en_US
dc.description.statementofresponsibilityby Andrew D. Bower.en_US
dc.format.extent47 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.subjectMechanical Engineering.en_US
dc.subjectSloan School of Management.en_US
dc.subjectLeaders for Global Operations Program.en_US
dc.titlePriority queuing for raw material receivingen_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 Mechanical Engineering
dc.contributor.departmentSloan School of Management
dc.identifier.oclc897471271en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record