{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/68821"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/68821","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Multi-echelon inventory optimization for an oil services company","abstract":"In the oilfield services industry, healthy margins and the criticality of product availability have often over shadowed the need for operational efficiency. Although those factors have not changed, the emergence of stronger industry competition and challenging economic climates have prompted ABC company to explore efficiency gains via supply chain optimization. This thesis examines and assesses opportunities for ABC Company to employ statistical inventory models, understand a variety of factors that influence inventory levels and costs, and improve its network structure. As many inventory models are not designed to accommodate SKUs that have very low rates of consumption, we also propose a methodology that will provide operational guidance and cost implications to address these types of SKUs.","abstract_html":"In the oilfield services industry, healthy margins and the criticality of product availability have often over shadowed the need for operational efficiency. Although those factors have not changed, the emergence of stronger industry competition and challenging economic climates have prompted ABC company to explore efficiency gains via supply chain optimization. This thesis examines and assesses opportunities for ABC Company to employ statistical inventory models, understand a variety of factors that influence inventory levels and costs, and improve its network structure. As many inventory models are not designed to accommodate SKUs that have very low rates of consumption, we also propose a methodology that will provide operational guidance and cost implications to address these types of SKUs.","abstract_has_math":false,"creators":["Chalapong, Michael","Lazarus, Jake"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Engineering Systems Division.","school":null,"contributors":[],"advisors":["Bruce Arntzen."],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011","date_published":"2011","updated_at":"2026-07-22T22:22:18Z","subjects":["Engineering Systems Division."],"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/1721.1/68821","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Bruce Arntzen."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Engineering Systems Division."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. Engineering Systems Division."]},{"key":"dc:creator","label":"Author","values":["Chalapong, Michael","Lazarus, Jake"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2012-01-30T16:52:10Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2012-01-30T16:52:10Z"]},{"key":"dc:date.issued","label":"Date","values":["2011"]},{"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":["Engineering Systems Division."]}]},{"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/1721.1/68821"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2011.","Cataloged from PDF version of thesis.","Includes bibliographical references (p. 56)."]},{"key":"dc:description.abstract","label":"Abstract","values":["In the oilfield services industry, healthy margins and the criticality of product availability have often over shadowed the need for operational efficiency. Although those factors have not changed, the emergence of stronger industry competition and challenging economic climates have prompted ABC company to explore efficiency gains via supply chain optimization. This thesis examines and assesses opportunities for ABC Company to employ statistical inventory models, understand a variety of factors that influence inventory levels and costs, and improve its network structure. As many inventory models are not designed to accommodate SKUs that have very low rates of consumption, we also propose a methodology that will provide operational guidance and cost implications to address these types of SKUs."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M.Eng.in Logistics"]},{"key":"dc:title","label":"Title","values":["Multi-echelon inventory optimization for an oil services company"]}]}],"canonical_facts":{"dc:contributor.advisor":["Bruce Arntzen."],"dc:contributor.department":["Massachusetts Institute of Technology. Engineering Systems Division."],"dc:contributor.other":["Massachusetts Institute of Technology. Engineering Systems Division."],"dc:creator":["Chalapong, Michael","Lazarus, Jake"],"dc:date.accessioned":["2012-01-30T16:52:10Z"],"dc:date.available":["2012-01-30T16:52:10Z"],"dc:date.issued":["2011"],"dc:description":["Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2011.","Cataloged from PDF version of thesis.","Includes bibliographical references (p. 56)."],"dc:description.abstract":["In the oilfield services industry, healthy margins and the criticality of product availability have often over shadowed the need for operational efficiency. Although those factors have not changed, the emergence of stronger industry competition and challenging economic climates have prompted ABC company to explore efficiency gains via supply chain optimization. This thesis examines and assesses opportunities for ABC Company to employ statistical inventory models, understand a variety of factors that influence inventory levels and costs, and improve its network structure. As many inventory models are not designed to accommodate SKUs that have very low rates of consumption, we also propose a methodology that will provide operational guidance and cost implications to address these types of SKUs."],"dc:description.degree":["M.Eng.in Logistics"],"dc:identifier.uri":["http://hdl.handle.net/1721.1/68821"],"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":["Engineering Systems Division."],"dc:title":["Multi-echelon inventory optimization for an oil services company"],"dc:type":["Thesis"]},"updated_at":"2026-07-22T22:22:18Z"}