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dc.contributor.advisorWelsch, Roy E.
dc.contributor.advisorDaniel, Luca
dc.contributor.authorHau, Han-Ching Elizabeth
dc.date.accessioned2022-11-30T19:41:59Z
dc.date.available2022-11-30T19:41:59Z
dc.date.issued2022-05
dc.date.submitted2022-08-25T19:15:26.537Z
dc.identifier.urihttps://hdl.handle.net/1721.1/146697
dc.description.abstractEthicon, Inc. currently collects data in various stages of its supply chain, but the information is fragmented across the end-to-end chain, resulting in a reactive supply chain. This study seeks to understand the data maturity of Ethicon's surgical stapler through exploratory data analysis and experimental data modeling with machine learning techniques in order to provide recommendations on strategies for digital readiness in a medical device and outline potential opportunities digitization can bring. The goals of this project are: 1. Enable end-to-end visibility into the currently supply chain by building a digital thread for a surgical stapler product 2. Create visualizations to provide visibility and insight into the existing production process 3. Use advanced analytics models to identify key components or measurements that affect the product's Force to Fire final quality inspection results The digital thread and models built laid the groundwork for the Ethicon team to understand the current state of their systems and will be used as the team conducts experiments to further understand the actual devices being built.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleDigital Thread and Analytics Model to Improve Quality Controls in Surgical Stapler
dc.typeThesis
dc.description.degreeM.B.A.
dc.description.degreeS.M.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentSloan School of Management
mit.thesis.degreeMaster
thesis.degree.nameMaster of Business Administration
thesis.degree.nameMaster of Science in Electrical Engineering and Computer Science


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