Analytical study and cost modeling of secondary aluminum consumption for alloy producers under uncertain demands
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2008.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2009
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Online Access: | http://hdl.handle.net/1721.1/44422 |
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author | Li, Yaoqi |
author2 | Randolph Kirchain. |
author_facet | Randolph Kirchain. Li, Yaoqi |
author_sort | Li, Yaoqi |
collection | MIT |
description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2008. |
first_indexed | 2024-09-23T08:40:46Z |
format | Thesis |
id | mit-1721.1/44422 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T08:40:46Z |
publishDate | 2009 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/444222019-04-09T19:09:45Z Analytical study and cost modeling of secondary aluminum consumption for alloy producers under uncertain demands Li, Yaoqi Randolph Kirchain. Massachusetts Institute of Technology. Dept. of Materials Science and Engineering. Massachusetts Institute of Technology. Dept. of Materials Science and Engineering. Materials Science and Engineering. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2008. Includes bibliographical references (p. 93-96). A series of case studies on raw materials inventory strategy for both wrought and cast aluminum alloy productions were conducted under recourse-based modeling framework with the explicit considerations of the demand uncertainty compared to the traditional strategy based on point forecast of future demand. The result shows significant economic and environmental benefits by pre-purchasing excess amount of cheaper but dirtier secondary raw materials to hedge the riskier higher-than-expected demand scenario. Further observations demonstrate that factors such as salvage value of residual scraps, cost advantage of secondary materials over primary materials, the degree of the demand uncertainty, etc. all have direct impacts on the hedging behavior. An analytical study on a simplified case scenario suggested a close form expression to well explain the hedging behavior and the impacts of various factors observed in case studies. The thesis then explored the effects of commonality shared by secondary materials in their application in multiple final products. Four propositions were reached. by Yaoqi Li. S.M. 2009-01-30T16:44:54Z 2009-01-30T16:44:54Z 2008 2008 Thesis http://hdl.handle.net/1721.1/44422 289463835 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 96 p. application/pdf Massachusetts Institute of Technology |
spellingShingle | Materials Science and Engineering. Li, Yaoqi Analytical study and cost modeling of secondary aluminum consumption for alloy producers under uncertain demands |
title | Analytical study and cost modeling of secondary aluminum consumption for alloy producers under uncertain demands |
title_full | Analytical study and cost modeling of secondary aluminum consumption for alloy producers under uncertain demands |
title_fullStr | Analytical study and cost modeling of secondary aluminum consumption for alloy producers under uncertain demands |
title_full_unstemmed | Analytical study and cost modeling of secondary aluminum consumption for alloy producers under uncertain demands |
title_short | Analytical study and cost modeling of secondary aluminum consumption for alloy producers under uncertain demands |
title_sort | analytical study and cost modeling of secondary aluminum consumption for alloy producers under uncertain demands |
topic | Materials Science and Engineering. |
url | http://hdl.handle.net/1721.1/44422 |
work_keys_str_mv | AT liyaoqi analyticalstudyandcostmodelingofsecondaryaluminumconsumptionforalloyproducersunderuncertaindemands |