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Massachusetts Institute of Technology

Multi echelon supply chain design for Amazon private brands

Abstract

dc:description.abstract

Retailers across the globe continue to grow their private label portfolio to offer customers an alternative to existing brands. Typically, retailers source private label products directly from manufacturers to remove middlemen from the value chain, thereby capturing greater value and subsequently passing it on to customers. Combined with the growth of e-commerce as the primary method for consumers to shop for products, expanding private label portfolio has made e-retailers to re-think their supply chain. Amazon began its journey in Private-Label Brands (PB) in 2009 with the launch of Amazon Basics. Since then, it has expanded its presence across multiple categories. The majority of these products are imported from Asia-Pacific region (APAC) and require sourcing larger quantities to account for long-lead time between production runs and high variability in demand to maintain competitive costs.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Sloan School of Management
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Das, Shouvik.
Advisor dc:contributor.advisor
  • Stephen C. Graves and David Simchi-Levi.

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/126953
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/126953

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

Das, Shouvik.. Multi echelon supply chain design for Amazon private brands. Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/126953