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dc.contributor.advisorStephen Graves.en_US
dc.contributor.authorHan, Yan, M. Eng. Massachusetts Institute of Technologyen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.date.accessioned2017-01-30T18:50:53Z
dc.date.available2017-01-30T18:50:53Z
dc.date.copyright2016en_US
dc.date.issued2016en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/106692
dc.descriptionThesis: M. Eng. in Advanced Manufacturing and Design, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.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 student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (page 77).en_US
dc.description.abstractThis thesis work focuses on supply chain operation optimization on column consumables at Waters Corporation in order to improve product availability to 95% to customers. This thesis project is conducted by collaboration of Han, Hua and Lee as a team through interviewing stakeholders, performing historical data analysis and model simulation. Hua's thesis focuses on safety stock allocation in different stages of column supply chain and Lee's thesis focuses on replenishment policy of products with consistent high demands and production policy for build-to-order products. This thesis focuses on improving product availability of products with relatively low demands and high variability. Due to the high uncertainty of geographical demand distribution and unbalanced on-hand inventory at major distribution centers around the world, pooling inventories into a single global distribution center is proposed to increase the company's capability to better fulfill customer requests. A single global distribution model is designed for Waters Corporation's column products to analyze the change in product availability. Further optimization on inventory using lot size-reorder point model with manufacturing lot size constraint reduces the total cost of inventory. As a result of constructing a single global distribution center, the product availability can be improved to 100% for products with current product availability of 70% or higher. For products with current product availability lower than 70%, an improvement to 80% to 90% can be achieved. The total on-hand inventory of all products within the scope of this thesis can be reduced by 14%. A discussion about potential influence of single distribution center on transportation and impact on customers is also included.en_US
dc.description.statementofresponsibilityby Yan Han.en_US
dc.format.extent77 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.subjectMechanical Engineering.en_US
dc.titleProduct availability improvement for an analytical consumables supply chain : distribution and transportationen_US
dc.typeThesisen_US
dc.description.degreeM. Eng. in Advanced Manufacturing and Designen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.oclc969776784en_US


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