2026-09-19T06:53:42Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1056292022-01-28T17:59:27Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Jarrod Goentzel and Y. Karen Zheng.
Zielske, Iris Marie
Leaders for Global Operations Program.
Leaders for Global Operations Program at MIT
Massachusetts Institute of Technology. Engineering Systems Division
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Sloan School of Management
2016-12-05T19:55:38Z
2016-12-05T19:55:38Z
2016
2016
http://hdl.handle.net/1721.1/105629
963209289
Thesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2016. In conjunction with the Leaders for Global Operations Program at MIT.
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2016. In conjunction with the Leaders for Global Operations Program at MIT.
Cataloged from PDF version of thesis.
Includes bibliographical references (page 39).
Amgen is implementing new capabilities across the Amgen manufacturing network in order to code containers at the unit-level to reduce the possibility of mix-ups of unlabeled drug products. In order to prepare for the roll-out of these new capabilities, an assessment of the impact to throughput, packaging yield and eject rates was conducted. Discrete event simulation was utilized to assess the impact of implementing these new container marking capabilities on a vial inspection and packaging line at one of Amgen's key manufacturing sites. The impact assessment confirms that the new capabilities will have no impact to the throughput of the production line and minimal to no impact on packaging yield and eject rates. This assessment provides confidence that implementation can move forward without concerns of negative impacts to the production lines.
by Iris Marie Zielske.
S.M. in Engineering Systems
M.B.A.
39 pages
eng
Massachusetts Institute of Technology
M.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.
http://dspace.mit.edu/handle/1721.1/7582
Institute for Data, Systems, and Society.
Sloan School of Management.
Engineering Systems Division.
Leaders for Global Operations Program.
Assessing the impact of container marking implementation
Thesis
application/pdf
false
Publication
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<Abstract>Amgen is implementing new capabilities across the Amgen manufacturing network in order to code containers at the unit-level to reduce the possibility of mix-ups of unlabeled drug products. In order to prepare for the roll-out of these new capabilities, an assessment of the impact to throughput, packaging yield and eject rates was conducted. Discrete event simulation was utilized to assess the impact of implementing these new container marking capabilities on a vial inspection and packaging line at one of Amgen's key manufacturing sites. The impact assessment confirms that the new capabilities will have no impact to the throughput of the production line and minimal to no impact on packaging yield and eject rates. This assessment provides confidence that implementation can move forward without concerns of negative impacts to the production lines.</Abstract>
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