{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/17728"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/17728","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Inventory deployment and market area segmentation in a two-echelon distribution network design","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Varol, Nebibe, 1980-"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Operations Research Center","school":null,"contributors":[],"advisors":["Donald B. Rosenfield."],"committee_chairs":[],"committee_members":[],"year":2004,"date_issued":"2004","date_published":"2004","updated_at":"2026-07-22T22:22:21Z","subjects":["Operations Research Center."],"languages":["eng"],"rights":["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."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/17728","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Donald B. Rosenfield."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Operations Research Center"]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. Operations Research Center."]},{"key":"dc:creator","label":"Author","values":["Varol, Nebibe, 1980-"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2005-06-02T18:25:02Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2005-06-02T18:25:02Z"]},{"key":"dc:date.issued","label":"Date","values":["2004"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Operations Research Center."]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["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."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://dspace.mit.edu/handle/1721.1/7582"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/1721.1/17728"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2004.","Includes bibliographical references (p. 125-128)."]},{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Inventory deployment and market area segmentation in a two-echelon distribution network design"]}]}],"canonical_facts":{"dc:contributor.advisor":["Donald B. Rosenfield."],"dc:contributor.department":["Massachusetts Institute of Technology. Operations Research Center"],"dc:contributor.other":["Massachusetts Institute of Technology. Operations Research Center."],"dc:creator":["Varol, Nebibe, 1980-"],"dc:date.accessioned":["2005-06-02T18:25:02Z"],"dc:date.available":["2005-06-02T18:25:02Z"],"dc:date.issued":["2004"],"dc:description":["Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2004.","Includes bibliographical references (p. 125-128)."],"dc:description.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."],"dc:description.degree":["S.M."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["http://hdl.handle.net/1721.1/17728"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["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."],"dc:rights.uri":["http://dspace.mit.edu/handle/1721.1/7582"],"dc:subject":["Operations Research Center."],"dc:title":["Inventory deployment and market area segmentation in a two-echelon distribution network design"],"dc:type":["Thesis"]},"updated_at":"2026-07-22T22:22:21Z"}