Analyzing and improving throughput of Automated Storage and Retrieval Systems in personal computer manufacturing
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2005. === Includes bibliographical references (leaf 85). === The co...
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ndltd-MIT-oai-dspace.mit.edu-1721.1-348432019-05-02T16:17:42Z Analyzing and improving throughput of Automated Storage and Retrieval Systems in personal computer manufacturing Heaps-Nelson, G. Thomas Stephen C. Graves and David Simchi-Levi. Leaders for Manufacturing Program. Sloan School of Management. Massachusetts Institute of Technology. Dept. of Chemical Engineering. Leaders for Manufacturing Program. Sloan School of Management. Chemical Engineering. Leaders for Manufacturing Program. Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2005. Includes bibliographical references (leaf 85). The content of this thesis draws heavily on work completed during a 6.5 month MIT Leaders for Manufacturing (LFM) internship at Dell Corporation's personal computer manufacturing facility in Lebanon, Tennessee (EG1) from June 2004 to December 2004. This work relates primarily to efforts to analyze and improve the throughput of the Automated Storage and Retrieval System (ASRS) in that factory. Wherever possible, the thesis abstracts from the EG1 factory case study to provide lessons for improving the throughput of ASRSs and accumulative manufacturing systems in general. In addition to this core of the thesis, specific implementation challenges encountered during the EG 1 case study are addressed. Finally, general cultural observations about Dell's manufacturing environment are discussed. The author believes the two most unique aspects of this work are the Crane Frontier framework developed for analyzing ASRS throughput (Section 2.6) and the range and taxonomy of ASRS throughput improvement solutions (Chapter 3). by G. Thomas Heaps-Nelson. S.M. M.B.A. 2006-11-08T16:47:40Z 2006-11-08T16:47:40Z 2005 2005 Thesis http://hdl.handle.net/1721.1/34843 63199331 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 85 leaves 3972288 bytes 3975786 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
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Sloan School of Management. Chemical Engineering. Leaders for Manufacturing Program. Heaps-Nelson, G. Thomas Analyzing and improving throughput of Automated Storage and Retrieval Systems in personal computer manufacturing |
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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2005. === Includes bibliographical references (leaf 85). === The content of this thesis draws heavily on work completed during a 6.5 month MIT Leaders for Manufacturing (LFM) internship at Dell Corporation's personal computer manufacturing facility in Lebanon, Tennessee (EG1) from June 2004 to December 2004. This work relates primarily to efforts to analyze and improve the throughput of the Automated Storage and Retrieval System (ASRS) in that factory. Wherever possible, the thesis abstracts from the EG1 factory case study to provide lessons for improving the throughput of ASRSs and accumulative manufacturing systems in general. In addition to this core of the thesis, specific implementation challenges encountered during the EG 1 case study are addressed. Finally, general cultural observations about Dell's manufacturing environment are discussed. The author believes the two most unique aspects of this work are the Crane Frontier framework developed for analyzing ASRS throughput (Section 2.6) and the range and taxonomy of ASRS throughput improvement solutions (Chapter 3). === by G. Thomas Heaps-Nelson. === S.M. === M.B.A. |
author2 |
Stephen C. Graves and David Simchi-Levi. |
author_facet |
Stephen C. Graves and David Simchi-Levi. Heaps-Nelson, G. Thomas |
author |
Heaps-Nelson, G. Thomas |
author_sort |
Heaps-Nelson, G. Thomas |
title |
Analyzing and improving throughput of Automated Storage and Retrieval Systems in personal computer manufacturing |
title_short |
Analyzing and improving throughput of Automated Storage and Retrieval Systems in personal computer manufacturing |
title_full |
Analyzing and improving throughput of Automated Storage and Retrieval Systems in personal computer manufacturing |
title_fullStr |
Analyzing and improving throughput of Automated Storage and Retrieval Systems in personal computer manufacturing |
title_full_unstemmed |
Analyzing and improving throughput of Automated Storage and Retrieval Systems in personal computer manufacturing |
title_sort |
analyzing and improving throughput of automated storage and retrieval systems in personal computer manufacturing |
publisher |
Massachusetts Institute of Technology |
publishDate |
2006 |
url |
http://hdl.handle.net/1721.1/34843 |
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AT heapsnelsongthomas analyzingandimprovingthroughputofautomatedstorageandretrievalsystemsinpersonalcomputermanufacturing |
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1719037860424712192 |