2026-09-19T19:09:06Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/177282021-07-05T14:03:20Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Donald B. Rosenfield.
Varol, Nebibe, 1980-
Massachusetts Institute of Technology. Operations Research Center.
Massachusetts Institute of Technology. Operations Research Center
Sloan School of Management
2005-06-02T18:25:02Z
2005-06-02T18:25:02Z
2004
2004
http://hdl.handle.net/1721.1/17728
56472966
Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2004.
Includes bibliographical references (p. 125-128).
Most of the logistics systems involve a multi-level distribution system structure due to value added by a multi-level configuration. Interactions of these levels, i.e. echelons, should be considered while making strategic decisions regarding the choice of the size, number and location of stocking sites as well as the tactical decision regarding the choice of inventory policy to be used. We analyze a two-echelon distribution network to characterize the market segmentation of each echelon and inventory deployment between the two-levels. Allocation of stock under a stochastic demand structure is considered simultaneously with warehousing and transportation decisions, which is an extension of the General Optimal Market Area (GOMA) Model developed by Erlenkotter. The distribution of inventory is investigated under different stock policies and the sensitivity of this distribution to various system parameters is analyzed.
by Nebibe Varol.
S.M.
128 p.
6769411 bytes
6769219 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Operations Research Center.
Inventory deployment and market area segmentation in a two-echelon distribution network design
Thesis
application/pdf
Publication
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unknown
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