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A Joint Pricing and Capacity Allocation Model for BTO Manufacturing
Traditional revenue management is equated with capacity control and assumes demand and selling price are exogenous. A joint pricing and capacity allocation model is formulated based on the characteristics for BTO manufacturing. Then, due to the demand uncertainty, a chance constrained programming me...
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creator | Li, Li Chen, Rongqiu Bu, Xiangzhi |
description | Traditional revenue management is equated with capacity control and assumes demand and selling price are exogenous. A joint pricing and capacity allocation model is formulated based on the characteristics for BTO manufacturing. Then, due to the demand uncertainty, a chance constrained programming method is proposed to transform the model. Finally, the effectiveness of the proposed model and the application value of the revenue management model for BTO manufacturing are illustrated by numerical examples. |
doi_str_mv | 10.1109/WICOM.2007.1065 |
format | conference_proceeding |
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A joint pricing and capacity allocation model is formulated based on the characteristics for BTO manufacturing. Then, due to the demand uncertainty, a chance constrained programming method is proposed to transform the model. 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A joint pricing and capacity allocation model is formulated based on the characteristics for BTO manufacturing. Then, due to the demand uncertainty, a chance constrained programming method is proposed to transform the model. Finally, the effectiveness of the proposed model and the application value of the revenue management model for BTO manufacturing are illustrated by numerical examples.</description><subject>Costs</subject><subject>Elasticity</subject><subject>Inventory control</subject><subject>Pricing</subject><subject>Printing</subject><subject>Pulp manufacturing</subject><subject>Stochastic processes</subject><subject>Technology management</subject><subject>Uncertainty</subject><subject>Virtual manufacturing</subject><issn>2161-9646</issn><isbn>1424413117</isbn><isbn>9781424413119</isbn><isbn>1424413125</isbn><isbn>9781424413126</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpFjLFOwzAURY2gEm3pzMDiH0jwsx07HkNEoahRGIoYK8d-RkYhqZJ06N9TBBJ3OTrDuYTcAksBmLl_35R1lXLGdApMZRdkAZJLCQJ4dvkvoK_InIOCxCipZmTxUxiutBHXZDWOn-w8mYlc8jkpC_rSx26ir0N0sfugtvO0tAfr4nSiRdv2zk6x72jVe2xp6Af6sKtpZbtjsG46DufmhsyCbUdc_XFJ3taPu_I52dZPm7LYJhF0NiVZ7ngIRliF6CzqxuQM0Hpw1kkOvlHBMOWNdso4B0YJQNB5yFFwbJQXS3L3-xsRcX8Y4pcdTnspJMslE9-mL043</recordid><startdate>200709</startdate><enddate>200709</enddate><creator>Li, Li</creator><creator>Chen, Rongqiu</creator><creator>Bu, Xiangzhi</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200709</creationdate><title>A Joint Pricing and Capacity Allocation Model for BTO Manufacturing</title><author>Li, Li ; Chen, Rongqiu ; Bu, Xiangzhi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-58c2ff93a6eecae7b9801ead1cac421db6f906d97c69cc19631e178f8e32eb6d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Costs</topic><topic>Elasticity</topic><topic>Inventory control</topic><topic>Pricing</topic><topic>Printing</topic><topic>Pulp manufacturing</topic><topic>Stochastic processes</topic><topic>Technology management</topic><topic>Uncertainty</topic><topic>Virtual manufacturing</topic><toplevel>online_resources</toplevel><creatorcontrib>Li, Li</creatorcontrib><creatorcontrib>Chen, Rongqiu</creatorcontrib><creatorcontrib>Bu, Xiangzhi</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore (Online service)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Li, Li</au><au>Chen, Rongqiu</au><au>Bu, Xiangzhi</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Joint Pricing and Capacity Allocation Model for BTO Manufacturing</atitle><btitle>2007 International Conference on Wireless Communications, Networking and Mobile Computing</btitle><stitle>WICOM</stitle><date>2007-09</date><risdate>2007</risdate><spage>4318</spage><epage>4321</epage><pages>4318-4321</pages><issn>2161-9646</issn><isbn>1424413117</isbn><isbn>9781424413119</isbn><eisbn>1424413125</eisbn><eisbn>9781424413126</eisbn><abstract>Traditional revenue management is equated with capacity control and assumes demand and selling price are exogenous. A joint pricing and capacity allocation model is formulated based on the characteristics for BTO manufacturing. Then, due to the demand uncertainty, a chance constrained programming method is proposed to transform the model. Finally, the effectiveness of the proposed model and the application value of the revenue management model for BTO manufacturing are illustrated by numerical examples.</abstract><pub>IEEE</pub><doi>10.1109/WICOM.2007.1065</doi><tpages>4</tpages></addata></record> |
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ispartof | 2007 International Conference on Wireless Communications, Networking and Mobile Computing, 2007, p.4318-4321 |
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source | IEEE Xplore All Conference Series |
subjects | Costs Elasticity Inventory control Pricing Printing Pulp manufacturing Stochastic processes Technology management Uncertainty Virtual manufacturing |
title | A Joint Pricing and Capacity Allocation Model for BTO Manufacturing |
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