Dynamic conditional location allocation model for healthcare facilities
In order to maintain the effectiveness of healthcare delivery, the location of the facilities providing the service to the public is very crucial. It is to ensure that the chosen location network and its demand allocation serve the purpose of minimising social cost or equivalently maximising the ben...
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creator | Shariff, S. S. R. Moin, N. H. Omar, M. |
description | In order to maintain the effectiveness of healthcare delivery, the location of the facilities providing the service to the public is very crucial. It is to ensure that the chosen location network and its demand allocation serve the purpose of minimising social cost or equivalently maximising the benefits of the people. This study will accommodate the changes of demand in time, the need to upgrade the network capacity and the condition of existing facilities into a dynamic conditional location allocation model. Using the new model, a case study is presented. |
doi_str_mv | 10.1109/SHUSER.2012.6268821 |
format | Conference Proceeding |
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S. R.</creatorcontrib><creatorcontrib>Moin, N. H.</creatorcontrib><creatorcontrib>Omar, M.</creatorcontrib><title>Dynamic conditional location allocation model for healthcare facilities</title><title>2012 IEEE Symposium on Humanities, Science and Engineering Research</title><addtitle>SHUSER</addtitle><description>In order to maintain the effectiveness of healthcare delivery, the location of the facilities providing the service to the public is very crucial. It is to ensure that the chosen location network and its demand allocation serve the purpose of minimising social cost or equivalently maximising the benefits of the people. This study will accommodate the changes of demand in time, the need to upgrade the network capacity and the condition of existing facilities into a dynamic conditional location allocation model. Using the new model, a case study is presented.</description><subject>Dynamic Conditional Location Allocation</subject><subject>Dynamic scheduling</subject><subject>Genetic algorithm</subject><subject>Genetic algorithms</subject><subject>Mathematical model</subject><subject>Medical services</subject><subject>Planning</subject><subject>Resource management</subject><subject>Vectors</subject><issn>2378-9808</issn><isbn>9781467313117</isbn><isbn>1467313114</isbn><isbn>9781467313100</isbn><isbn>1467313106</isbn><isbn>1467313092</isbn><isbn>9781467313094</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVUM1Kw0AYXFHBUvMEveQFEr9vd5PdPUqtrVAQbD2XL_tDVzaNJLn07Y1YhM5lZmBmDsPYAqFEBPO023zuVh8lB-RlzWutOd6wzCiNslYCBQLcXnlUd2zGhdKF0aAfWDYMXzBhSmBlZmz9cj5RG21uu5OLY-xOlPLUWfqVOaV_2XbOpzx0fX70lMajpd7ngWxMU8sPj-w-UBp8duE527-u9stNsX1fvy2ft0U0MBZSE1oJpqmCIxk0GmOlEqEyyginpdDWkUPJa3JGQSPrBohX4HyjyIIUc7b4m43e-8N3H1vqz4fLE-IH8sFQkg</recordid><startdate>201206</startdate><enddate>201206</enddate><creator>Shariff, S. S. R.</creator><creator>Moin, N. H.</creator><creator>Omar, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201206</creationdate><title>Dynamic conditional location allocation model for healthcare facilities</title><author>Shariff, S. S. R. ; Moin, N. H. ; Omar, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-48a1c409b5fda4f8199c473f59793d8438cdad1426ad970b46b0a250deb7ac043</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Dynamic Conditional Location Allocation</topic><topic>Dynamic scheduling</topic><topic>Genetic algorithm</topic><topic>Genetic algorithms</topic><topic>Mathematical model</topic><topic>Medical services</topic><topic>Planning</topic><topic>Resource management</topic><topic>Vectors</topic><toplevel>online_resources</toplevel><creatorcontrib>Shariff, S. S. R.</creatorcontrib><creatorcontrib>Moin, N. H.</creatorcontrib><creatorcontrib>Omar, M.</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 Electronic Library (IEL)</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>Shariff, S. S. R.</au><au>Moin, N. H.</au><au>Omar, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Dynamic conditional location allocation model for healthcare facilities</atitle><btitle>2012 IEEE Symposium on Humanities, Science and Engineering Research</btitle><stitle>SHUSER</stitle><date>2012-06</date><risdate>2012</risdate><spage>1389</spage><epage>1394</epage><pages>1389-1394</pages><issn>2378-9808</issn><isbn>9781467313117</isbn><isbn>1467313114</isbn><eisbn>9781467313100</eisbn><eisbn>1467313106</eisbn><eisbn>1467313092</eisbn><eisbn>9781467313094</eisbn><abstract>In order to maintain the effectiveness of healthcare delivery, the location of the facilities providing the service to the public is very crucial. It is to ensure that the chosen location network and its demand allocation serve the purpose of minimising social cost or equivalently maximising the benefits of the people. This study will accommodate the changes of demand in time, the need to upgrade the network capacity and the condition of existing facilities into a dynamic conditional location allocation model. Using the new model, a case study is presented.</abstract><pub>IEEE</pub><doi>10.1109/SHUSER.2012.6268821</doi><tpages>6</tpages></addata></record> |
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ispartof | 2012 IEEE Symposium on Humanities, Science and Engineering Research, 2012, p.1389-1394 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Dynamic Conditional Location Allocation Dynamic scheduling Genetic algorithm Genetic algorithms Mathematical model Medical services Planning Resource management Vectors |
title | Dynamic conditional location allocation model for healthcare facilities |
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