2026-09-20T07:21:16Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/688212026-06-06T01:03:56Zcom_1721.1_7582com_1721.1_7581com_1721.1_101402col_1721.1_131023col_1721.1_101610
Bruce Arntzen.
Chalapong, Michael
Lazarus, Jake
Massachusetts Institute of Technology. Engineering Systems Division.
Massachusetts Institute of Technology. Engineering Systems Division
2012-01-30T16:52:10Z
2012-01-30T16:52:10Z
2011
2011
http://hdl.handle.net/1721.1/68821
772145858
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 56).
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.
by Michael Chalapong and Jake Lazarus.
M.Eng. in Logistics
56 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
copyright. They may be viewed from this source for any purpose, but
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http://dspace.mit.edu/handle/1721.1/7582
Engineering Systems Division.
Multi-echelon inventory optimization for an oil services company
Thesis
application/pdf
Publication
unknown
unknown
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<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>
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