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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Donald Rosenfield and Thomas W. Eagar.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Slivinskiy, Andrey L</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Leaders for Manufacturing Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Leaders for Manufacturing Program at MIT</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Materials Science and Engineering</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2006-11-08T16:51:44Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2005</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">63676333</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2005.</dim:field>
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   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In the face of growing competition in the Tantalum business, H.C.Starck's management is minimizing the delivery time for custom-made capacitor-grade tantalum wire products. H.C. Starck, Inc., Newton, Massachusetts faces challenges in its production environment to meet customer demand in an effective manner. Specific challenges include poor forecasting abilities, variation in customer demand, long component lead time, and expensive components. For this study, the desired delivery time reduction is to be achieved by establishing intermediate inventory buffers, setting appropriate inventory targets in an order-up-to-level inventory management model that considers sources of variation, time requirements, and customer service goals. We addressed a number of goals. First, we tied demand variability into traditional demand- focused models. Second, we develop more standardized and simplified inventory targets. Finally, we develop a production scheduling system that smoothes production, simplifies the scheduling process, and helps in achieving desired customer service level and the inventory targets.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Andrey L. Slivinskiy.</dim:field>
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   <dim:field mdschema="dc" element="rights" lang="en_US">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.</dim:field>
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   <dim:field mdschema="dc" element="title" lang="en_US">Delivery optimization for a make to order custom wire mill</dim:field>
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   	&lt;Title>Delivery optimization for a make to order custom wire mill&lt;/Title>
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   	&lt;PublicationDate>2005&lt;/PublicationDate>
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    &lt;Keyword>Materials Science and Engineering.&lt;/Keyword>
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   	&lt;Abstract>In the face of growing competition in the Tantalum business, H.C.Starck&amp;apos;s management is minimizing the delivery time for custom-made capacitor-grade tantalum wire products. H.C. Starck, Inc., Newton, Massachusetts faces challenges in its production environment to meet customer demand in an effective manner. Specific challenges include poor forecasting abilities, variation in customer demand, long component lead time, and expensive components. For this study, the desired delivery time reduction is to be achieved by establishing intermediate inventory buffers, setting appropriate inventory targets in an order-up-to-level inventory management model that considers sources of variation, time requirements, and customer service goals. We addressed a number of goals. First, we tied demand variability into traditional demand- focused models. Second, we develop more standardized and simplified inventory targets. Finally, we develop a production scheduling system that smoothes production, simplifies the scheduling process, and helps in achieving desired customer service level and the inventory targets.&lt;/Abstract>
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