2026-09-19T19:06:27Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/347942022-01-28T18:05:05Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Charlie H. Fine and Roy E. Welsch.
Cohen, Elana Ann, 1978-
Leaders for Manufacturing Program.
Leaders for Manufacturing Program at MIT
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Sloan School of Management
2006-11-08T16:39:20Z
2006-11-08T16:39:20Z
2004
2004
http://hdl.handle.net/1721.1/34794
57303953
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and, Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at MIT, 2004.
Includes bibliographical references (p. 118-120).
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.
by Elana Ann Cohen.
M.B.A.
S.M.
120 p.
8030243 bytes
8044894 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Sloan School of Management.
Leaders for Manufacturing Program.
Image engine study : strategic dynamic control for low volume potentially high mix modules
Strategic dynamic control for low volume potentially high mix modules
Thesis
application/pdf
false
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="0fd47b7a-2851-425f-93d4-ef5314cc9636">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Language>eng</Language>
<Title>Image engine study : strategic dynamic control for low volume potentially high mix modules</Title>
<Subtitle>Strategic dynamic control for low volume potentially high mix modules</Subtitle>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2004</PublicationDate>
<Authors>
<Author>
<DisplayName>Cohen, Elana Ann, 1978-</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>http://dspace.mit.edu/handle/1721.1/7582</License>
<Keyword>Electrical Engineering and Computer Science.</Keyword>
<Keyword>Sloan School of Management.</Keyword>
<Keyword>Leaders for Manufacturing Program.</Keyword>
<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.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>