A systematic approach to internal spare parts management

Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2014. In conjunction with the Leaders for Global Operations Program at MIT.

Bibliographic Details
Main Author: Meggs, Paul W. (Paul William)
Other Authors: Juan Pablo Vielma and Bruce Cameron.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2014
Subjects:
Online Access:http://hdl.handle.net/1721.1/90788
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author Meggs, Paul W. (Paul William)
author2 Juan Pablo Vielma and Bruce Cameron.
author_facet Juan Pablo Vielma and Bruce Cameron.
Meggs, Paul W. (Paul William)
author_sort Meggs, Paul W. (Paul William)
collection MIT
description Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2014. In conjunction with the Leaders for Global Operations Program at MIT.
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spelling mit-1721.1/907882022-01-28T14:55:22Z A systematic approach to internal spare parts management Meggs, Paul W. (Paul William) Juan Pablo Vielma and Bruce Cameron. Leaders for Global Operations Program. Leaders for Global Operations Program at MIT Massachusetts Institute of Technology. Engineering Systems Division Sloan School of Management Sloan School of Management. Engineering Systems Division. Leaders for Global Operations Program. Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2014. In conjunction with the Leaders for Global Operations Program at MIT. Thesis: S.M., Massachusetts Institute of Technology, Engineering Systems Division, 2014. In conjunction with the Leaders for Global Operations Program at MIT. 32 Cataloged from PDF version of thesis. Includes bibliographical references (pages 56-57). Internal spare parts management is a universal issue faced by all manufacturers, and involves decision-making and planning across a highly complex and heterogeneous group of thousands of items. Spare parts exhibit intermittent demand and a variety of prices, lead times, and potential downtime costs that pose challenges for planning and control. Managers can facilitate spare parts decision-making through the utilization of classification methods to prioritize critical parts and forecasting tools to better establish inventory policies. This thesis explores a classification method to evaluate the criticality of spare parts using the Analytic Hierarchy Process and applies bootstrapping forecast techniques to better inform safety stock levels. A joint classification and forecasting model is developed and validated for use by supply chain and maintenance teams in the organization. Through improved safety stock settings, an inventory savings of up to 39% is identified while maintaining or increasing service levels for critical spare parts. For most manufacturing companies, the approaches and findings discussed in this thesis are applicable and can be used to aid efforts in establishing a systematic approach to internal spare parts. by Paul W. Meggs. M.B.A. S.M. 2014-10-08T15:29:11Z 2014-10-08T15:29:11Z 2014 2014 Thesis http://hdl.handle.net/1721.1/90788 891573235 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 57 pages application/pdf Massachusetts Institute of Technology
spellingShingle Sloan School of Management.
Engineering Systems Division.
Leaders for Global Operations Program.
Meggs, Paul W. (Paul William)
A systematic approach to internal spare parts management
title A systematic approach to internal spare parts management
title_full A systematic approach to internal spare parts management
title_fullStr A systematic approach to internal spare parts management
title_full_unstemmed A systematic approach to internal spare parts management
title_short A systematic approach to internal spare parts management
title_sort systematic approach to internal spare parts management
topic Sloan School of Management.
Engineering Systems Division.
Leaders for Global Operations Program.
url http://hdl.handle.net/1721.1/90788
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