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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">David Simchi-Levi.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Wang, Zhiyong, S.M. Massachusetts Institute of Technology. Engineering Systems Division</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2006.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 34).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">High variability of demand and inflexible capacity are inevitable in a make-to-order production despite its cost savings. A computational method is proposed in this thesis to exploit pricing opportunities in the price elasticity of demand and the up-to-date order transactions. Software development possibility was considered based on such pricing optimization method. Based on experiments conducted using a software prototype, we concluded that using the proposed computational method and software developed following the method with acceptable performance and scalability, pricing optimization was able to increase the revenue of a make-to-order production.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Zhiyong Wang.</dim:field>
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   	&lt;Title>A computational method and software development for make-to-order pricing optimization&lt;/Title>
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   	&lt;Abstract>High variability of demand and inflexible capacity are inevitable in a make-to-order production despite its cost savings. A computational method is proposed in this thesis to exploit pricing opportunities in the price elasticity of demand and the up-to-date order transactions. Software development possibility was considered based on such pricing optimization method. Based on experiments conducted using a software prototype, we concluded that using the proposed computational method and software developed following the method with acceptable performance and scalability, pricing optimization was able to increase the revenue of a make-to-order production.&lt;/Abstract>
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