Systems analysis and optimization through discrete event simulation at Amazon.com
Name
56676212-MIT.pdf
Description
Full printable version
Size
11.49 MB
Format
Adobe PDF
Checksum (MD5)
f8680e9128ee140a230c6f8b8b0349eb
Author(s)
Price, Cameron S. (Cameron Stalker), 1972-
Advisor(s)
Jeremie Gallien and Thomas Roemer.
Date Issued
2004
Publisher
Massachusetts Institute of Technology
Abstract
The basis for this thesis involved a six and a half month LFM internship at the Amazon.com fulfillment center in the United Kingdom. The fulfillment center management sought insight into the substantial variation across the entire fulfillment center. This variation manifested itself primarily in two areas: the individual process path productivities of picking, pre-sort, re-bin and packing, and the overall system productivities of fulfillment center cycle time and throughput. Employee productivities, within picking, pre-sort, re-bin and packing, varied substantially, with this variation having a significant effect on throughput. This thesis uses discrete event simulation and the program SIMUL8 to model the overall system and analyze the effect of this variation. It discusses the design and development process for the model, proposes key questions relative to variation, analyzes different scenarios, and recommends specific actions for implementation. The overall goals of the internship included increasing fulfillment center throughput and decreasing cycle time.
Description
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M. in Ocean Systems Management)--Massachusetts Institute of Technology, Dept. of Ocean Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2004.
Includes bibliographical references (leaf 64).
Subjects
Sloan School of Management.
Ocean Engineering.
Leaders for Manufacturing Program.
MIT Department
Leaders for Manufacturing Program at MIT
Massachusetts Institute of Technology. Department of Ocean Engineering
Sloan School of Management
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