Grey input–output analysis and its application for environmental cost allocation
Deterministic input–output analysis has been applied to solving a variety of economic problems. Nevertheless, uncertainty plays an important role in decision-making and should be properly addressed in future input–output analysis. This study therefore describes a method of including systematic param...
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Veröffentlicht in: | European journal of operational research 2003-02, Vol.145 (1), p.175-201 |
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description | Deterministic input–output analysis has been applied to solving a variety of economic problems. Nevertheless, uncertainty plays an important role in decision-making and should be properly addressed in future input–output analysis. This study therefore describes a method of including systematic parameter uncertainties in an input–output model and develops its solution procedure using the genetic-algorithm-based (GA-based) grey mathematical programming technique as a tool. In particular, the model for assessing the impacts of recent pollution charges and water resource fees to a textile-dyeing factory is formulated and solved for the purpose of illustration. To account for the gross impact from systematic variations, most parameters are expressed as interval expressions as that are frequently used in the grey systems theory. Research findings indicate that the grey input–output analysis is an applicable tool to evaluate various environmental cost impacts influential for corporate production planning and management. |
doi_str_mv | 10.1016/S0377-2217(02)00174-1 |
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Research findings indicate that the grey input–output analysis is an applicable tool to evaluate various environmental cost impacts influential for corporate production planning and management.</description><subject>Algorithms</subject><subject>Cost analysis</subject><subject>Environmental management</subject><subject>Genetic algorithm</subject><subject>Grey systems theory</subject><subject>Input output analysis</subject><subject>Mathematical programming</subject><subject>Operations research</subject><subject>Production planning</subject><subject>Studies</subject><subject>System theory</subject><subject>Textile industry</subject><issn>0377-2217</issn><issn>1872-6860</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNqFUE1r3DAUFKGFbNL-hIDpKTk4eU-2LPkUQsgXCRTa3IUsS0SL13Il7cLe-h_6D_NLIsch1wqe5vGYGYYh5AThHAGbi99QcV5SivwU6BkA8rrEA7JCwWnZiAa-kNUn5ZAcxbiGzGLIVuTXXTD7wo3TNr3-_ee3KS-FGtWwjy7mpS9cyjhNg9MqOT8W1ofCjDsX_LgxY1JDoX3MmmHwC-Mb-WrVEM33Dzwmz7c3z9f35dPPu4frq6dS16xJJReNZpVlLVDbiV5bwVQPnNmqFlxpWyukTLS9EB1Y6E3PKsQOoQbadaKtjsmPxXYK_s_WxCTXfhty8igp1Ng2LZ1JbCHp4GMMxsopuI0Ke4kg5_Lke3lybkYCle_lScy6x0UXzGT0p8jkt_bBRLmTlcKa5X-fhwJUGdx8zDPNyFnOgfIlbbLb5eJmch07Z4KM2plRm94Fo5PsvftPnjct2JFy</recordid><startdate>20030216</startdate><enddate>20030216</enddate><creator>Wu, C.C.</creator><creator>Chang, N.B.</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><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>20030216</creationdate><title>Grey input–output analysis and its application for environmental cost allocation</title><author>Wu, C.C. ; Chang, N.B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-786c53f5902fb8dcf85ad075f3487acf4a12589d88b0f0ded5311b10402bb893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Algorithms</topic><topic>Cost analysis</topic><topic>Environmental management</topic><topic>Genetic algorithm</topic><topic>Grey systems theory</topic><topic>Input output analysis</topic><topic>Mathematical programming</topic><topic>Operations research</topic><topic>Production planning</topic><topic>Studies</topic><topic>System theory</topic><topic>Textile industry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, C.C.</creatorcontrib><creatorcontrib>Chang, N.B.</creatorcontrib><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>Wu, C.C.</au><au>Chang, N.B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Grey input–output analysis and its application for environmental cost allocation</atitle><jtitle>European journal of operational research</jtitle><date>2003-02-16</date><risdate>2003</risdate><volume>145</volume><issue>1</issue><spage>175</spage><epage>201</epage><pages>175-201</pages><issn>0377-2217</issn><eissn>1872-6860</eissn><coden>EJORDT</coden><abstract>Deterministic input–output analysis has been applied to solving a variety of economic problems. Nevertheless, uncertainty plays an important role in decision-making and should be properly addressed in future input–output analysis. This study therefore describes a method of including systematic parameter uncertainties in an input–output model and develops its solution procedure using the genetic-algorithm-based (GA-based) grey mathematical programming technique as a tool. In particular, the model for assessing the impacts of recent pollution charges and water resource fees to a textile-dyeing factory is formulated and solved for the purpose of illustration. To account for the gross impact from systematic variations, most parameters are expressed as interval expressions as that are frequently used in the grey systems theory. 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subjects | Algorithms Cost analysis Environmental management Genetic algorithm Grey systems theory Input output analysis Mathematical programming Operations research Production planning Studies System theory Textile industry |
title | Grey input–output analysis and its application for environmental cost allocation |
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