{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/66075"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/66075","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Applying a MEIO approach to manage Intel's VMI Hub Supply","abstract":"To improve customer service levels, Intel implemented Vendor Managed Inventory (VMI) hub process for its Central Processing Unit (CPU) Finished Good (FG) inventory, which allows Intel's customers to pull inventory directly from the hubs. However, this process change resulted in increased inventory in Intel's overall supply chain and thus increased inventory costs. This work investigates reducing inventory cost by applying a Multi Echelon Inventory Optimization (MEIO) approach to manage Intel's VMI Hub Supply Chain. The goal is to evaluate the hypothesis that an MEIO approach for inventory management and replenishment will result in a more efficient use of FG inventory. To assess the hypothesis, we developed a three-step modeling framework. In each step, we conducted several experiments, applying the MEIO model approach, to determine the optimal CPU FG inventory stocking levels needed to meet customer service level goals for different products and locations. The study was concluded with quantitative and qualitative business impact of implementing an MEIO approach for Intel CPU FG Supply Chain. The MEIO modeling result shows significant inventory reduction opportunities and were presented to the Senior Management team of Intel Supply Chain.","abstract_html":"To improve customer service levels, Intel implemented Vendor Managed Inventory (VMI) hub process for its Central Processing Unit (CPU) Finished Good (FG) inventory, which allows Intel's customers to pull inventory directly from the hubs. However, this process change resulted in increased inventory in Intel's overall supply chain and thus increased inventory costs. This work investigates reducing inventory cost by applying a Multi Echelon Inventory Optimization (MEIO) approach to manage Intel's VMI Hub Supply Chain. The goal is to evaluate the hypothesis that an MEIO approach for inventory management and replenishment will result in a more efficient use of FG inventory. To assess the hypothesis, we developed a three-step modeling framework. In each step, we conducted several experiments, applying the MEIO model approach, to determine the optimal CPU FG inventory stocking levels needed to meet customer service level goals for different products and locations. The study was concluded with quantitative and qualitative business impact of implementing an MEIO approach for Intel CPU FG Supply Chain. The MEIO modeling result shows significant inventory reduction opportunities and were presented to the Senior Management team of Intel Supply Chain.","abstract_has_math":false,"creators":["Hsieh, Min Fang, M.B.A. Massachusetts Institute of Technology"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Leaders for Global Operations Program at MIT","school":null,"contributors":[],"advisors":["Stephen Graves and David Simchi-Levi."],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011","date_published":"2011","updated_at":"2026-07-22T22:20:49Z","subjects":["Sloan School of Management.","Engineering Systems Division.","Leaders for Global Operations Program."],"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/1721.1/66075","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Stephen Graves and David Simchi-Levi."]},{"key":"dc:contributor.department","label":"Department","values":["Leaders for Global Operations Program at MIT","Massachusetts Institute of Technology. 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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/1721.1/66075"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Global Operations Program at MIT, 2011.","Cataloged from PDF version of thesis. Page 100 blank.","Includes bibliographical references (p. 98-99)."]},{"key":"dc:description.abstract","label":"Abstract","values":["To improve customer service levels, Intel implemented Vendor Managed Inventory (VMI) hub process for its Central Processing Unit (CPU) Finished Good (FG) inventory, which allows Intel's customers to pull inventory directly from the hubs. However, this process change resulted in increased inventory in Intel's overall supply chain and thus increased inventory costs. This work investigates reducing inventory cost by applying a Multi Echelon Inventory Optimization (MEIO) approach to manage Intel's VMI Hub Supply Chain. The goal is to evaluate the hypothesis that an MEIO approach for inventory management and replenishment will result in a more efficient use of FG inventory. To assess the hypothesis, we developed a three-step modeling framework. In each step, we conducted several experiments, applying the MEIO model approach, to determine the optimal CPU FG inventory stocking levels needed to meet customer service level goals for different products and locations. The study was concluded with quantitative and qualitative business impact of implementing an MEIO approach for Intel CPU FG Supply Chain. The MEIO modeling result shows significant inventory reduction opportunities and were presented to the Senior Management team of Intel Supply Chain."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M.","M.B.A."]},{"key":"dc:title","label":"Title","values":["Applying a MEIO approach to manage Intel's VMI Hub Supply"]}]}],"canonical_facts":{"dc:contributor.advisor":["Stephen Graves and David Simchi-Levi."],"dc:contributor.department":["Leaders for Global Operations Program at MIT","Massachusetts Institute of Technology. Engineering Systems Division","Sloan School of Management"],"dc:contributor.other":["Leaders for Global Operations Program."],"dc:creator":["Hsieh, Min Fang, M.B.A. Massachusetts Institute of Technology"],"dc:date.accessioned":["2011-09-27T18:40:02Z"],"dc:date.available":["2011-09-27T18:40:02Z"],"dc:date.issued":["2011"],"dc:description":["Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Global Operations Program at MIT, 2011.","Cataloged from PDF version of thesis. Page 100 blank.","Includes bibliographical references (p. 98-99)."],"dc:description.abstract":["To improve customer service levels, Intel implemented Vendor Managed Inventory (VMI) hub process for its Central Processing Unit (CPU) Finished Good (FG) inventory, which allows Intel's customers to pull inventory directly from the hubs. However, this process change resulted in increased inventory in Intel's overall supply chain and thus increased inventory costs. This work investigates reducing inventory cost by applying a Multi Echelon Inventory Optimization (MEIO) approach to manage Intel's VMI Hub Supply Chain. The goal is to evaluate the hypothesis that an MEIO approach for inventory management and replenishment will result in a more efficient use of FG inventory. To assess the hypothesis, we developed a three-step modeling framework. In each step, we conducted several experiments, applying the MEIO model approach, to determine the optimal CPU FG inventory stocking levels needed to meet customer service level goals for different products and locations. The study was concluded with quantitative and qualitative business impact of implementing an MEIO approach for Intel CPU FG Supply Chain. The MEIO modeling result shows significant inventory reduction opportunities and were presented to the Senior Management team of Intel Supply Chain."],"dc:description.degree":["S.M.","M.B.A."],"dc:identifier.uri":["http://hdl.handle.net/1721.1/66075"],"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":["Sloan School of Management.","Engineering Systems Division.","Leaders for Global Operations Program."],"dc:title":["Applying a MEIO approach to manage Intel's VMI Hub Supply"],"dc:type":["Thesis"]},"updated_at":"2026-07-22T22:20:49Z"}