2026-09-21T15:02:44Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/371352022-01-28T19:21:42Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
David Simchi-Levi and David E. Hardt.
Khattar, Sandeep
Leaders for Manufacturing Program.
Leaders for Manufacturing Program at MIT
Massachusetts Institute of Technology. Department of Mechanical Engineering
Sloan School of Management
2007-04-03T17:15:30Z
2007-04-03T17:15:30Z
2006
2006
http://hdl.handle.net/1721.1/37135
85812019
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2006.
Includes bibliographical references (p. 60).
The Pepsi Bottling Group (PBG) is the world's largest manufacturer, seller, and distributor of carbonated and non-carbonated Pepsi-Cola beverages. The supply chain network in the United States consists of 52 plants, over 360 warehouses, and an ever growing portfolio of SKU's. Currently, there is no robust method for determining the sourcing strategy - in which plant(s) to produce each product. The objective of this thesis is to develop an approach that allows PBG to determine where products should be produced to reduce overall supply chain costs while meeting all relevant business constraints. An approach to sourcing utilizing an optimization algorithm is presented, along with a suggested implementation plan. This approach has demonstrated the potential to generate significant cost savings throughout the supply chain. The research for this thesis was conducted during an internship with the Pepsi Bottling Group, in affiliation with the Leaders for Manufacturing program at the Massachusetts Institute of Technology.
by Sandeep Khattar.
S.M.
M.B.A.
60 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Sloan School of Management.
Mechanical Engineering.
Leaders for Manufacturing Program.
An approach to sourcing optimization at a high volume soft drink manufacturer
Thesis
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<Abstract>The Pepsi Bottling Group (PBG) is the world's largest manufacturer, seller, and distributor of carbonated and non-carbonated Pepsi-Cola beverages. The supply chain network in the United States consists of 52 plants, over 360 warehouses, and an ever growing portfolio of SKU's. Currently, there is no robust method for determining the sourcing strategy - in which plant(s) to produce each product. The objective of this thesis is to develop an approach that allows PBG to determine where products should be produced to reduce overall supply chain costs while meeting all relevant business constraints. An approach to sourcing utilizing an optimization algorithm is presented, along with a suggested implementation plan. This approach has demonstrated the potential to generate significant cost savings throughout the supply chain. The research for this thesis was conducted during an internship with the Pepsi Bottling Group, in affiliation with the Leaders for Manufacturing program at the Massachusetts Institute of Technology.</Abstract>
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