Order selection and pricing methods using flexible quantity and fuzzy approach for buyer evaluation
This paper presents the methods for order selection and pricing of manufacturer (supplier) with make-to-order basis when orders exceed production capacity. By quoting the concepts of triangular fuzzy numbers and linguistic variables, a fuzzy approach to evaluating buyers by taking into account both...
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| Veröffentlicht in: | European journal of operational research 2008-06, Vol.187 (2), p.415-428 |
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| container_title | European journal of operational research |
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| creator | Lin, Hung-Tso Chang, Wen-Ling |
| description | This paper presents the methods for order selection and pricing of manufacturer (supplier) with make-to-order basis when orders exceed production capacity. By quoting the concepts of triangular fuzzy numbers and linguistic variables, a fuzzy approach to evaluating buyers by taking into account both positive and negative criteria is proposed. According to the classified results of buyers, the orders will be produced with priority, declined, or determined by MIP model. The fixed quantity MIP model and flexible quantity MIP model are employed to determine the produced orders along with the production quantity and the reference amount for price reduction. By applying the concept of TOPSIS, the closeness coefficients for satisfaction grades of orders and for ranking values of buyers are used as the adjusting rates in the final pricing MIP model to set segmented price. |
| doi_str_mv | 10.1016/j.ejor.2007.03.003 |
| format | Article |
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By quoting the concepts of triangular fuzzy numbers and linguistic variables, a fuzzy approach to evaluating buyers by taking into account both positive and negative criteria is proposed. According to the classified results of buyers, the orders will be produced with priority, declined, or determined by MIP model. The fixed quantity MIP model and flexible quantity MIP model are employed to determine the produced orders along with the production quantity and the reference amount for price reduction. By applying the concept of TOPSIS, the closeness coefficients for satisfaction grades of orders and for ranking values of buyers are used as the adjusting rates in the final pricing MIP model to set segmented price.</description><subject>Applied sciences</subject><subject>Exact sciences and technology</subject><subject>Fuzzy logic</subject><subject>Fuzzy sets</subject><subject>Integer programming</subject><subject>Inventory control, production control. Distribution</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Order quantity</subject><subject>Order selection</subject><subject>Pricing</subject><subject>Pricing policies</subject><subject>Production</subject><subject>Production capacity</subject><subject>Studies</subject><issn>0377-2217</issn><issn>1872-6860</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNp9UV2L1DAUDaLguPoHfCqCj603Sdsk4IssfrEL-6LPIZPeOCmdtpu0g7O_3ltn0bcN3NwbOOfk5ISxtxwqDrz90FfYT6kSAKoCWQHIZ2zHtRJlq1t4znYglSqF4Oole5VzDwC84c2O-bvUYSoyDuiXOI2FG7tiTtHH8VdxxOUwdblY83YKA_6O-wGL-9WNS1zOf7FhfXigaZ7T5PyhCFMq9uuZJPHkhtVtmq_Zi-CGjG8e-xX7-eXzj-tv5e3d1-_Xn25LXzftUrYG9kYa0ULttRHGADay5UGKvdfCaa2DRm-cUoGjF7rTCoXQKExda92gvGLvLrrk5X7FvNh-WtNIV1oBNa8lVy2BxAXk05RzwmDptUeXzpaD3bK0vd2ytFuWFqSlLIl0cyElnNH_YyAtgmK2JysdxU37mYqomlrcRqqZquaNrYW2h-VIau8ffbrs3RCSG33M_30Yo5VuFOE-XnBIoZ0iJpt9xNFjFxP9lu2m-JTpPzGypAQ</recordid><startdate>20080601</startdate><enddate>20080601</enddate><creator>Lin, Hung-Tso</creator><creator>Chang, Wen-Ling</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><scope>IQODW</scope><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20080601</creationdate><title>Order selection and pricing methods using flexible quantity and fuzzy approach for buyer evaluation</title><author>Lin, Hung-Tso ; Chang, Wen-Ling</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-690b9392604c892990e5361f32bc82a888f8ec9a77f1ec28d87e228e2944885e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Applied sciences</topic><topic>Exact sciences and technology</topic><topic>Fuzzy logic</topic><topic>Fuzzy sets</topic><topic>Integer programming</topic><topic>Inventory control, production control. Distribution</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Order quantity</topic><topic>Order selection</topic><topic>Pricing</topic><topic>Pricing policies</topic><topic>Production</topic><topic>Production capacity</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lin, Hung-Tso</creatorcontrib><creatorcontrib>Chang, Wen-Ling</creatorcontrib><collection>Pascal-Francis</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>European journal of operational research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lin, Hung-Tso</au><au>Chang, Wen-Ling</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Order selection and pricing methods using flexible quantity and fuzzy approach for buyer evaluation</atitle><jtitle>European journal of operational research</jtitle><date>2008-06-01</date><risdate>2008</risdate><volume>187</volume><issue>2</issue><spage>415</spage><epage>428</epage><pages>415-428</pages><issn>0377-2217</issn><eissn>1872-6860</eissn><coden>EJORDT</coden><abstract>This paper presents the methods for order selection and pricing of manufacturer (supplier) with make-to-order basis when orders exceed production capacity. 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| fulltext | fulltext |
| identifier | ISSN: 0377-2217 |
| ispartof | European journal of operational research, 2008-06, Vol.187 (2), p.415-428 |
| issn | 0377-2217 1872-6860 |
| language | eng |
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| source | RePEc; Elsevier ScienceDirect Journals |
| subjects | Applied sciences Exact sciences and technology Fuzzy logic Fuzzy sets Integer programming Inventory control, production control. Distribution Operational research and scientific management Operational research. Management science Order quantity Order selection Pricing Pricing policies Production Production capacity Studies |
| title | Order selection and pricing methods using flexible quantity and fuzzy approach for buyer evaluation |
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