Inventory deployment and market area segmentation in a two-echelon distribution network design
Name
56472966-MIT.pdf
Description
Full printable version
Size
6.46 MB
Format
Adobe PDF
Checksum (MD5)
a8d82cdcc5b4eaedcd7722e284b614cf
Author(s)
Varol, Nebibe, 1980-
Advisor(s)
Donald B. Rosenfield.
Date Issued
2004
Publisher
Massachusetts Institute of Technology
Abstract
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.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2004.
Includes bibliographical references (p. 125-128).
Subjects
Operations Research Center.
MIT Department
Massachusetts Institute of Technology. Operations Research Center
Sloan School of Management
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