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Massachusetts Institute of Technology

Optimization of downstream supply chain product flow based on an integrated cost-to-deliver perspective

Abstract

dc:description.abstract

As Boston Scientific's supply chain becomes more versatile in mixing their supply networks across divisions, there is new opportunity to re-optimize product flow downstream of manufacturing based on unique product attributes and network capabilities instead of solely legacy divisional flow. The current organizational structure, methods, and systems prompts product flow to be optimized within functional silos. However, there are no current methods or tools that readily enable management to evaluate the total system in an integrative manner or with respect to specific product attributes. This project aims to improve BSC's ability to determine optimal product flow by introducing a tool that optimizes across the downstream supply chain via an integrative perspective that accounts for product and network attributes.

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
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • DiAndreth, Christopher.
Advisor dc:contributor.advisor
  • Stephen C. Graves and Brian W. Anthony.

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/122589
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/122589

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

DiAndreth, Christopher.. Optimization of downstream supply chain product flow based on an integrated cost-to-deliver perspective. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122589