Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2005. / Includes bibliographical references (p. 92-93). / This thesis shows how a combination of macro-economic, business, and organizational factors can lead a well-run company to adopt a "launch-and-expedite" behavior with detrimental effects on operational efficiency. It also demonstrates how it is possible, for an organization that finds itself in such a state, to apply basic operations principles and a data driven approach to systematically get out of the "launch-and-expedite" mode. The thesis presents a method to characterize a real, functioning supply chain in the context of changing conditions and in the absence of perfect data. It shows the analysis, recommendations, and results from a particular supply chain case study at Agilent Technologies, Inc. The project first analyzes and maps the current supply chain to characterize demand and supply variability. A selected menu of operational building blocks is then recommended to improve overall supply chain performance by reducing the internal bullwhip effect and improving on-time delivery. The recommendations are implemented in a successful pilot study and key operational metrics are recorded such as supply chain inventory, on-time delivery, variability of lead-time, and number of expedite/schedule change requests. / (cont.) The particular organizational context of the project and its affect is also considered. Although this thesis provides a case study of the Colorado Springs Technical Center operations and supply chain, results and lessons learned are applicable to other component suppliers or component buyers within multi-node supply chains, particularly those in the capital equipment business. / by Mark K. Sahney. / S.M. / M.B.A.
Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/34862 |
Date | January 2005 |
Creators | Sahney, Mira K. (Mira Kirti) |
Contributors | Stephen Graves and Abbott Weiss., Leaders for Manufacturing Program., Leaders for Manufacturing Program at MIT, Massachusetts Institute of Technology. Department of Mechanical Engineering, Sloan School of Management |
Publisher | Massachusetts Institute of Technology |
Source Sets | M.I.T. Theses and Dissertation |
Language | English |
Detected Language | English |
Type | Thesis |
Format | 93 p., 5030729 bytes, 5034565 bytes, application/pdf, application/pdf, application/pdf |
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., http://dspace.mit.edu/handle/1721.1/7582 |
Page generated in 0.0018 seconds