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

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.

Bibliographic Details
Main Author: Cohen, Elana Ann, 1978-
Other Authors: Charlie H. Fine and Roy E. Welsch.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2006
Subjects:
Online Access:http://hdl.handle.net/1721.1/34794
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author Cohen, Elana Ann, 1978-
author2 Charlie H. Fine and Roy E. Welsch.
author_facet Charlie H. Fine and Roy E. Welsch.
Cohen, Elana Ann, 1978-
author_sort Cohen, Elana Ann, 1978-
collection MIT
description 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.
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spelling mit-1721.1/347942022-01-28T18:05:05Z Image engine study : strategic dynamic control for low volume potentially high mix modules Strategic dynamic control for low volume potentially high mix modules Cohen, Elana Ann, 1978- Charlie H. Fine and Roy E. Welsch. 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 Electrical Engineering and Computer Science. Sloan School of Management. Leaders for Manufacturing Program. 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. 2006-11-08T16:39:20Z 2006-11-08T16:39:20Z 2004 2004 Thesis http://hdl.handle.net/1721.1/34794 57303953 eng 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 120 p. 8030243 bytes 8044894 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Sloan School of Management.
Leaders for Manufacturing Program.
Cohen, Elana Ann, 1978-
Image engine study : strategic dynamic control for low volume potentially high mix modules
title Image engine study : strategic dynamic control for low volume potentially high mix modules
title_full Image engine study : strategic dynamic control for low volume potentially high mix modules
title_fullStr Image engine study : strategic dynamic control for low volume potentially high mix modules
title_full_unstemmed Image engine study : strategic dynamic control for low volume potentially high mix modules
title_short Image engine study : strategic dynamic control for low volume potentially high mix modules
title_sort image engine study strategic dynamic control for low volume potentially high mix modules
topic Electrical Engineering and Computer Science.
Sloan School of Management.
Leaders for Manufacturing Program.
url http://hdl.handle.net/1721.1/34794
work_keys_str_mv AT cohenelanaann1978 imageenginestudystrategicdynamiccontrolforlowvolumepotentiallyhighmixmodules
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