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Massachusetts Institute of Technology

Multi-echelon inventory optimization for an oil services company

Abstract

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.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Engineering Systems Division.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2011

Author and committee

dc:creator, dc:contributor.*
Authors dc:creator
  • Chalapong, Michael
  • Lazarus, Jake
Advisor dc:contributor.advisor
  • Bruce Arntzen.

Subjects

dc:subject × 1

Rights

dc:rights
Statement 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/68821
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/68821

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Chalapong, Michael; Lazarus, Jake. Multi-echelon inventory optimization for an oil services company. Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/68821