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Massachusetts Institute of Technology

Image engine study : strategic dynamic control for low volume potentially high mix modules

Abstract

dc:description.abstract

The main goal of this project was to provide a case study on image engines for the purpose of developing a supply chain strategy. Initially, the current digital image engine manufacturing core competencies and respective capabilities were further defined and documented. Value chain maps were then developed for each line of business to assess Kodak's transition from analog to digital. The value chains clearly illustrate a lower reliance on consumables (including silver halide film and paper), and demonstrate an emerging capability in the digital equipment market. As image engine performance directly impacts the level of digital image quality, the study concludes that strategic dynamic control of these image engines is critical in order to maintain future competitive advantage.

Degree

thesis:*
Department dc:contributor.department
Leaders for Manufacturing Program at MIT
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2004

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Cohen, Elana Ann, 1978-
Advisor dc:contributor.advisor
  • Charlie H. Fine and Roy E. Welsch.

Subjects

dc:subject × 3

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/1721.1/34794
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/34794

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

Cohen, Elana Ann, 1978-. Image engine study : strategic dynamic control for low volume potentially high mix modules. Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/34794