Improving customer service level through centralized supply flexibility

Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Manufacturing Program at MIT, 2006. === Includes bibliographical references (leaf 70). === This th...

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Main Author: Hsu, Mindy H. (Mindy Hsin-Min)
Other Authors: Donald B. Rosenfield and Roy E. Welsch.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2007
Subjects:
Online Access:http://hdl.handle.net/1721.1/37127
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-371272019-05-02T16:21:00Z Improving customer service level through centralized supply flexibility Hsu, Mindy H. (Mindy Hsin-Min) Donald B. Rosenfield and Roy E. Welsch. Leaders for Manufacturing Program. Sloan School of Management. Massachusetts Institute of Technology. Engineering Systems Division. Leaders for Manufacturing Program. Sloan School of Management. Engineering Systems Division. Leaders for Manufacturing Program. Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Manufacturing Program at MIT, 2006. Includes bibliographical references (leaf 70). This thesis explores a combined application of Supply Chain Management theory for centralized and decentralized distribution systems and Customer Relationship Management techniques in data mining to solve the challenges of supply allocations to individual customer entities at Intel Corporation. The relatively long manufacturing lead time compared to order lead time restricts Intel's supply flexibility from responding to rapid order changes by each customer. As a result, the individual customer service level is sacrificed. Therefore, the objective of the research project is to improve customer service level by global optimization for all customers as opposed to the local optimization that each customer currently operates on. Over-ordering occurs in the local optimization system. The proposed solution is to use a scientific and systematic methodology of data mining to guide operational strategies that will provide incentives to encourage customers to order more accurately with Intel. Through this exercise, the supplies can be virtually centralized at Intel instead of being committed out to each customer in a decentralized fashion. The hypothesis is that the new system with more accurate ordering from customers will result in increased supply flexibility and higher effective service level. by Mindy H. Hsu. S.M. M.B.A. 2007-04-03T17:14:39Z 2007-04-03T17:14:39Z 2006 2006 Thesis http://hdl.handle.net/1721.1/37127 85775319 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 70 leaves application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Sloan School of Management.
Engineering Systems Division.
Leaders for Manufacturing Program.
spellingShingle Sloan School of Management.
Engineering Systems Division.
Leaders for Manufacturing Program.
Hsu, Mindy H. (Mindy Hsin-Min)
Improving customer service level through centralized supply flexibility
description Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Manufacturing Program at MIT, 2006. === Includes bibliographical references (leaf 70). === This thesis explores a combined application of Supply Chain Management theory for centralized and decentralized distribution systems and Customer Relationship Management techniques in data mining to solve the challenges of supply allocations to individual customer entities at Intel Corporation. The relatively long manufacturing lead time compared to order lead time restricts Intel's supply flexibility from responding to rapid order changes by each customer. As a result, the individual customer service level is sacrificed. Therefore, the objective of the research project is to improve customer service level by global optimization for all customers as opposed to the local optimization that each customer currently operates on. Over-ordering occurs in the local optimization system. The proposed solution is to use a scientific and systematic methodology of data mining to guide operational strategies that will provide incentives to encourage customers to order more accurately with Intel. Through this exercise, the supplies can be virtually centralized at Intel instead of being committed out to each customer in a decentralized fashion. The hypothesis is that the new system with more accurate ordering from customers will result in increased supply flexibility and higher effective service level. === by Mindy H. Hsu. === S.M. === M.B.A.
author2 Donald B. Rosenfield and Roy E. Welsch.
author_facet Donald B. Rosenfield and Roy E. Welsch.
Hsu, Mindy H. (Mindy Hsin-Min)
author Hsu, Mindy H. (Mindy Hsin-Min)
author_sort Hsu, Mindy H. (Mindy Hsin-Min)
title Improving customer service level through centralized supply flexibility
title_short Improving customer service level through centralized supply flexibility
title_full Improving customer service level through centralized supply flexibility
title_fullStr Improving customer service level through centralized supply flexibility
title_full_unstemmed Improving customer service level through centralized supply flexibility
title_sort improving customer service level through centralized supply flexibility
publisher Massachusetts Institute of Technology
publishDate 2007
url http://hdl.handle.net/1721.1/37127
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