Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2019, In conjunction with the Leaders for Global Operations Program at MIT / Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019, In conjunction with the Leaders for Global Operations Program at MIT / Cataloged from PDF version of thesis. / Includes bibliographical references (page 91). / The retail industry is shifting to enable companies to respond faster to consumer demand and expectations. For any retail company, this requires speed in their supply chain from new product generation to final order delivery. Companies that store product in centralized distribution centers must shorten the time it takes to ship a product from when an order is placed. This thesis describes the detailed operations within a large distribution center and uses it as a basis for improving delivery time of a product or order within the four walls of the building. The current system is subjected to increased variability in workflows from work planning to work completion, causing delays within sequential work functions and a longer overall delivery time. These effects are magnified by the inherent tradeoffs in the work process format and the work behaviors of the employees. A new system of work was developed to standardize the workflow at a large distribution center and decrease observed order delivery times. This solution was a work scheduling system that established clear expectations for work completion as well as tools needed to reduce the variability in the system. Under this new system, the average order delivery time is expected to decrease to a third of its current cycle time. This research was conducted in partnership with Nike Inc. / by Stephen Michael Greenlee. / M.B.A. / S.M. / M.B.A. Massachusetts Institute of Technology, Sloan School of Management / S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/122577 |
| Date | January 2019 |
| Creators | Greenlee, Stephen Michael. |
| Contributors | Stephen Graves and Maria Yang., Sloan School of Management., Massachusetts Institute of Technology. Department of Mechanical Engineering., Leaders for Global Operations Program., Sloan School of Management, Massachusetts Institute of Technology. Department of Mechanical Engineering, Leaders for Global Operations Program |
| Publisher | Massachusetts Institute of Technology |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 91 pages, application/pdf |
| Rights | 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 |
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