Optimizing the internal reuse of wireless network equipment

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Global Operations Program at MIT, 2013.

Bibliographic Details
Main Author: Lin, Jessica, S.M. Massachusetts Institute of Technology
Other Authors: Donald Rosenfield and Cynthia Barnhart.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2013
Subjects:
Online Access:http://hdl.handle.net/1721.1/81722
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author Lin, Jessica, S.M. Massachusetts Institute of Technology
author2 Donald Rosenfield and Cynthia Barnhart.
author_facet Donald Rosenfield and Cynthia Barnhart.
Lin, Jessica, S.M. Massachusetts Institute of Technology
author_sort Lin, Jessica, S.M. Massachusetts Institute of Technology
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Global Operations Program at MIT, 2013.
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spelling mit-1721.1/817222022-01-27T21:11:27Z Optimizing the internal reuse of wireless network equipment Lin, Jessica, S.M. Massachusetts Institute of Technology Donald Rosenfield and Cynthia Barnhart. Leaders for Global Operations Program. Leaders for Global Operations Program at MIT Massachusetts Institute of Technology. Department of Mechanical Engineering Sloan School of Management Mechanical Engineering. Sloan School of Management. Leaders for Global Operations Program. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Global Operations Program at MIT, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (p. 46). Reusing high-value wireless network equipment can allow telecommunications providers to achieve both financial and environmental benefits. However, without standardized processes and tools to reuse equipment, the reuse process can be highly inefficient and a significant amount of reusable equipment may remain in inventory. This thesis examines the reuse of wireless network equipment at Verizon Wireless (VzW) and presents tools and processes to increase the amount and efficiency of network equipment reuse within VzW. An analytical model is presented to differentiate between items that can be reused and items that should be immediately resold or scrapped. Once a pool of reusable items is identified, incentives to promote equipment sharing across internal VzW regions are discussed. A web-based tool and process to increase the ease and speed of identifying and requesting equipment is then examined. Finally, a framework by which reuse metrics can be evaluated is presented. by Jessica Lin. M.B.A. S.M. 2013-10-24T17:48:28Z 2013-10-24T17:48:28Z 2013 2013 Thesis http://hdl.handle.net/1721.1/81722 861185222 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 46 p. application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Sloan School of Management.
Leaders for Global Operations Program.
Lin, Jessica, S.M. Massachusetts Institute of Technology
Optimizing the internal reuse of wireless network equipment
title Optimizing the internal reuse of wireless network equipment
title_full Optimizing the internal reuse of wireless network equipment
title_fullStr Optimizing the internal reuse of wireless network equipment
title_full_unstemmed Optimizing the internal reuse of wireless network equipment
title_short Optimizing the internal reuse of wireless network equipment
title_sort optimizing the internal reuse of wireless network equipment
topic Mechanical Engineering.
Sloan School of Management.
Leaders for Global Operations Program.
url http://hdl.handle.net/1721.1/81722
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