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dc.contributor.advisorMaria Yang, Nevan Hanumara and Charles Fine.en_US
dc.contributor.authorStauber, Zachary Jasonen_US
dc.contributor.otherLeaders for Global Operations Program.en_US
dc.date.accessioned2017-09-15T14:22:25Z
dc.date.available2017-09-15T14:22:25Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/111274
dc.descriptionThesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2017.en_US
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2017.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 52-53).en_US
dc.description.abstractWith increasing cost of labor, additional regulatory pressures, and changing consumer habits, consumer goods manufacturers in low-cost sourcing countries in Asia are increasingly looking at manufacturing technologies to help. These manufacturing technologies in the apparel industry range from electronic sewing machines that have been around for decades to the precision control robotics that are still in the development phase. We aim to demonstrate the benefit of technology adoption and catalog the barriers faced in implementation. To achieve this, the project first explores the extent of technology adoption within the Li & Fung supplier network through the use of the technical audit; a questionnaire which includes 5 technology related questions that are filled out on-site by a third party auditor. This analysis is then expanded through a vendor survey launched to hundreds of factories that asks additional questions around technology adoption. Finally, this analytical review of technology adoption is complemented by an in-depth design and implementation of a technology system, specifically an Industrial Internet of Things (IIoT) system, at a bottling factory. This study further demonstrates the potential impact of technology in factories and the challenges to implementation. In demonstrating the benefit of specific technologies, we are able to show a statistically significant correlation of higher performance with two technologies from the technical audit. Through our IIoT project, we also simulate how an inventory buffer optimized with the data gathered by the IIoT can increase productivity by as much as 34%. Finally, we catalog financial, strategic, and organizational barriers that factories face.en_US
dc.description.statementofresponsibilityby Zachary Jason Stauber.en_US
dc.format.extent59 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectSloan School of Management.en_US
dc.subjectMechanical Engineering.en_US
dc.subjectLeaders for Global Operations Program.en_US
dc.titleTechnology adoption in consumer goods manufacturing in Asian, low-cost sourcing countriesen_US
dc.typeThesisen_US
dc.description.degreeM.B.A.en_US
dc.description.degreeS.M.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.oclc1003324374en_US


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