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dc.contributor.advisorCharles Fine, Vivek F. Farias and John R. Williams.en_US
dc.contributor.authorMourabet, Jawad E.en_US
dc.contributor.otherSloan School of Management.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Civil and Environmental Engineering.en_US
dc.contributor.otherLeaders for Global Operations Program.en_US
dc.date.accessioned2020-11-23T17:40:51Z
dc.date.available2020-11-23T17:40:51Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/128599
dc.descriptionThesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, June, 2019en_US
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, in conjunction with the Leaders for Global Operations Program at MIT, June, 2019en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 65-66).en_US
dc.description.abstractLi&Fung is a world leader in logistics, sourcing, and procurement; connecting manufacturing vendors with major retail brands. Recently, there has been an increasing consumer demand for more sustainably produced and sourced garments. When sourcing a garment, costs such as materials, shipping, and taxes are widely understood, but there is a lot of ambiguity on labor's contribution to the cost breakdown. This ambiguity can lead to incorrect garment pricing which can result in factories using cost cutting measures in order to meet production agreements. This in turn can lead to poor production quality as well as adverse conditions to the health and wellbeing of workers. Through advancements in technology and data collection it has become possible to digitize a large portion of the sourcing process, allowing for a quantifiable approach to costing out labor. The primary goal of this thesis is to detail a methodology to quantify a fair labor value for new orders placed with Li&Fung. A fair labor wage, in accordance with the UN International Labor Organization (ILO), will satisfy the basic needs of workers and their families while providing some discretionary income. The resulting framework was used to create a model that leverages Li&Fung's internal supplier data currently being collected, as well as external environmental data that drives garment production efficiency. The model provides a standardized, intuitive method for both Li&Fung merchandisers and their customers to determine what a fair labor value is when producing a garment. Additionally, Li&Fung can leverage the tool as a method to attract new brands who are interested in offering fair trade products to their customers, but do not have the capacity or supply chain expertise to do so.en_US
dc.description.statementofresponsibilityby Jawad E. Mourabet.en_US
dc.format.extent66 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectSloan School of Management.en_US
dc.subjectCivil and Environmental Engineering.en_US
dc.subjectLeaders for Global Operations Program.en_US
dc.titleQuantifying a fair labor value for garment production through prediction of factory efficiencyen_US
dc.typeThesisen_US
dc.description.degreeM.B.A.en_US
dc.description.degreeS.M.en_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.departmentLeaders for Global Operations Program at MITen_US
dc.identifier.oclc1220951457en_US
dc.description.collectionM.B.A. Massachusetts Institute of Technology, Sloan School of Managementen_US
dc.description.collectionS.M. Massachusetts Institute of Technology, Department of Civil and Environmental Engineeringen_US
dspace.imported2020-11-23T17:40:50Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentSloanen_US
mit.thesis.departmentCivEngen_US


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