2026-09-19T04:28:43Zhttps://dspace.mit.edu/server/oai/request

oai:dspace.mit.edu:1721.1/1179482022-01-28T17:16:54Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023

Daniel Whitney and Karen Zheng. Smith, Becky Lou Leaders for Global Operations Program. Leaders for Global Operations Program at MIT Massachusetts Institute of Technology. Department of Mechanical Engineering Sloan School of Management 2018-09-17T15:51:11Z 2018-09-17T15:51:11Z 2018 2018 http://hdl.handle.net/1721.1/117948 1051237340 Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2018. Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 105-109). Warehouses and fulfillment centers have traditionally been designed to handle bulk orders of pallet and cases. The growth in e-commerce is demanding operational improvements for efficient storage of large selections and the ability to quickly pick, fill, pack and ship single items and small orders. Online grocery fulfillment presents a new gamut of challenges due to the unique storage and handling requirements of grocery products. As demand increases, storage space can quickly become a performance-limiting constraint. Operations managers must find creative ways to fit more products into the same amount of space, while maintaining or increasing throughput to meet the increased demand and efficiency targets. This thesis proposes that an optimum fulfillment center storage system can be achieved by strategically balancing trade-offs between labor productivity and space utilization and by minimizing the impacts of variation. This document evaluates the relationships between these trade-offs and highlights five guiding principles of great storage systems for high-rate fulfillment centers. Amazon Fresh will serve as a case-study to provide a real-world complex application for testing the claims presented in this thesis. Research findings and the five guiding principles are are used to develop data-supported recommendations to address storage-related challenges at Amazon Fresh fulfillment centers. The insights from this research can be used to improve storage capacity and efficiency with a well-balanced storage system. by Becky Lou Smith. M.B.A. S.M. 109 pages eng Massachusetts Institute of Technology MIT 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. http://dspace.mit.edu/handle/1721.1/7582 Sloan School of Management. Mechanical Engineering. Leaders for Global Operations Program. Fulfillment center storage optimization Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="f49c0101-cd8b-4369-8afa-191953ceffdc"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Fulfillment center storage optimization</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2018</PublicationDate> <Authors> <Author> <DisplayName>Smith, Becky Lou</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Sloan School of Management.</Keyword> <Keyword>Mechanical Engineering.</Keyword> <Keyword>Leaders for Global Operations Program.</Keyword> <Abstract>Warehouses and fulfillment centers have traditionally been designed to handle bulk orders of pallet and cases. The growth in e-commerce is demanding operational improvements for efficient storage of large selections and the ability to quickly pick, fill, pack and ship single items and small orders. Online grocery fulfillment presents a new gamut of challenges due to the unique storage and handling requirements of grocery products. As demand increases, storage space can quickly become a performance-limiting constraint. Operations managers must find creative ways to fit more products into the same amount of space, while maintaining or increasing throughput to meet the increased demand and efficiency targets. This thesis proposes that an optimum fulfillment center storage system can be achieved by strategically balancing trade-offs between labor productivity and space utilization and by minimizing the impacts of variation. This document evaluates the relationships between these trade-offs and highlights five guiding principles of great storage systems for high-rate fulfillment centers. Amazon Fresh will serve as a case-study to provide a real-world complex application for testing the claims presented in this thesis. Research findings and the five guiding principles are are used to develop data-supported recommendations to address storage-related challenges at Amazon Fresh fulfillment centers. The insights from this research can be used to improve storage capacity and efficiency with a well-balanced storage system.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>