Analysis of additive manufacturing in an automobile service part supply chain

Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2018

Bibliographic Details
Main Author: Wei, Yijin,S. M.Massachusetts Institute of Technology.
Other Authors: Stephen C. Graves.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2019
Subjects:
Online Access:https://hdl.handle.net/1721.1/122308
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author Wei, Yijin,S. M.Massachusetts Institute of Technology.
author2 Stephen C. Graves.
author_facet Stephen C. Graves.
Wei, Yijin,S. M.Massachusetts Institute of Technology.
author_sort Wei, Yijin,S. M.Massachusetts Institute of Technology.
collection MIT
description Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2018
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spelling mit-1721.1/1223082019-09-27T03:00:38Z Analysis of additive manufacturing in an automobile service part supply chain Wei, Yijin,S. M.Massachusetts Institute of Technology. Stephen C. Graves. Massachusetts Institute of Technology. Computation for Design and Optimization Program. Massachusetts Institute of Technology. Computation for Design and Optimization Program Computation for Design and Optimization Program. Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2018 Cataloged from PDF version of thesis. Includes bibliographical references (pages 67-68). The traditional supply chain performance depends on the efficiency of mass production, the availability of productive low cost labor and the geometry and materials of the products. Additive manufacturing, on the other hand, bypasses all these constraints and reduces the number of stages in the supply chain by allowing local production of low volume parts of greater complexity. We develop an approach for assessing the total cost when additive manufacturing is integrated into the service-parts supply chain given a set of inputs that characterize the supply chain. Specifically, we present several simulation and optimization models to help companies decide the end-of-life strategy of low volume service parts. Through sensitivity analysis, we identify regions of parameters where additive manufacturing is preferred. Moreover, we find that service parts with high lost sales unit cost and low fixed and variable additive manufacturing costs are the most suitable for additive manufacturing. by Yijin Wei. S.M. S.M. Massachusetts Institute of Technology, Computation for Design and Optimization Program 2019-09-26T19:36:48Z 2019-09-26T19:36:48Z 2018 2018 Thesis https://hdl.handle.net/1721.1/122308 1103712486 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 68 pages application/pdf Massachusetts Institute of Technology
spellingShingle Computation for Design and Optimization Program.
Wei, Yijin,S. M.Massachusetts Institute of Technology.
Analysis of additive manufacturing in an automobile service part supply chain
title Analysis of additive manufacturing in an automobile service part supply chain
title_full Analysis of additive manufacturing in an automobile service part supply chain
title_fullStr Analysis of additive manufacturing in an automobile service part supply chain
title_full_unstemmed Analysis of additive manufacturing in an automobile service part supply chain
title_short Analysis of additive manufacturing in an automobile service part supply chain
title_sort analysis of additive manufacturing in an automobile service part supply chain
topic Computation for Design and Optimization Program.
url https://hdl.handle.net/1721.1/122308
work_keys_str_mv AT weiyijinsmmassachusettsinstituteoftechnology analysisofadditivemanufacturinginanautomobileservicepartsupplychain