Fuzzy decision support system for manufacturing facilities layout planning
Manufacturing facility layout problem is an unstructured decision-making problem due to natural vagueness associated with the inputs to the models. Arbitrary numerical ratings are assigned for relationship chart to determine facility selection routine. This paper presents a distinct decision support...
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Veröffentlicht in: | Decision Support Systems 2005-08, Vol.40 (2), p.305-314 |
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creator | Deb, S.K. Bhattacharyya, B. |
description | Manufacturing facility layout problem is an unstructured decision-making problem due to natural vagueness associated with the inputs to the models. Arbitrary numerical ratings are assigned for relationship chart to determine facility selection routine. This paper presents a distinct decision support system based on multifactor fuzzy inference system (FIS) for the development of facility layout with fixed pickup/drop-off points. The algorithm searches several candidate points with different orientation of incoming machine blocks in order to minimize flow cost, dead space and area required for the development of layout. The proposed methodology is coded in C
+ language and implemented in a Pentium III, 550-MHz machine. The experimental results with a test problem are illustrated with encouraging result with its advanced soft computational effectiveness. |
doi_str_mv | 10.1016/j.dss.2003.12.007 |
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+ language and implemented in a Pentium III, 550-MHz machine. The experimental results with a test problem are illustrated with encouraging result with its advanced soft computational effectiveness.</description><subject>Applied sciences</subject><subject>Dead space</subject><subject>Decision making</subject><subject>Decision support systems</subject><subject>Decision theory. Utility theory</subject><subject>Exact sciences and technology</subject><subject>Facility layout</subject><subject>Flow cost</subject><subject>Fuzzy decision</subject><subject>Fuzzy logic</subject><subject>Layouts</subject><subject>Manufacturing</subject><subject>Minimum required area</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Studies</subject><issn>0167-9236</issn><issn>1873-5797</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LxDAQhoMouK7-AG9F0FvrJGmTFk-yuH6w4EXPIZumktJtaqYVdn-9WVYQPEgOyZBn3hkeQi4pZBSouG2zGjFjADyjLAOQR2RGS8nTQlbymMwiI9OKcXFKzhBbAMFlKWbkZTntdtuktsah832C0zD4MCa4xdFuksaHZKP7qdFmnILrP5L4cp0bncWk01s_jcnQ6b6PX-fkpNEd2oufe07elw9vi6d09fr4vLhfpYaXxZiKMh7JDc_XjdSc0pzKnMYCKpZXteRayxoqWEtdWmaLpuAgm1xTyi015ZrPyc0hdwj-c7I4qo1DY7u4hvUTKlYWIKEQEbz6A7Z-Cn3cTTEQAmiRywjRA2SCRwy2UUNwGx22ioLaq1WtimrVXq2iTEW1sef6J1ij0V0TdB_1_TbKAlglIHJ3B85GHV_OBoXG2d7Y2gVrRlV798-Ub6z-jhY</recordid><startdate>20050801</startdate><enddate>20050801</enddate><creator>Deb, S.K.</creator><creator>Bhattacharyya, B.</creator><general>Elsevier B.V</general><general>Elsevier Science</general><general>Elsevier Sequoia S.A</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20050801</creationdate><title>Fuzzy decision support system for manufacturing facilities layout planning</title><author>Deb, S.K. ; Bhattacharyya, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c385t-6868673c34bf7a311417414bf09249d73aa7d090b7a8e2e5f5307f4a113e1c8b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>Dead space</topic><topic>Decision making</topic><topic>Decision support systems</topic><topic>Decision theory. Utility theory</topic><topic>Exact sciences and technology</topic><topic>Facility layout</topic><topic>Flow cost</topic><topic>Fuzzy decision</topic><topic>Fuzzy logic</topic><topic>Layouts</topic><topic>Manufacturing</topic><topic>Minimum required area</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Deb, S.K.</creatorcontrib><creatorcontrib>Bhattacharyya, B.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology 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>Decision Support Systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Deb, S.K.</au><au>Bhattacharyya, B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fuzzy decision support system for manufacturing facilities layout planning</atitle><jtitle>Decision Support Systems</jtitle><date>2005-08-01</date><risdate>2005</risdate><volume>40</volume><issue>2</issue><spage>305</spage><epage>314</epage><pages>305-314</pages><issn>0167-9236</issn><eissn>1873-5797</eissn><coden>DSSYDK</coden><abstract>Manufacturing facility layout problem is an unstructured decision-making problem due to natural vagueness associated with the inputs to the models. Arbitrary numerical ratings are assigned for relationship chart to determine facility selection routine. This paper presents a distinct decision support system based on multifactor fuzzy inference system (FIS) for the development of facility layout with fixed pickup/drop-off points. The algorithm searches several candidate points with different orientation of incoming machine blocks in order to minimize flow cost, dead space and area required for the development of layout. The proposed methodology is coded in C
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subjects | Applied sciences Dead space Decision making Decision support systems Decision theory. Utility theory Exact sciences and technology Facility layout Flow cost Fuzzy decision Fuzzy logic Layouts Manufacturing Minimum required area Operational research and scientific management Operational research. Management science Studies |
title | Fuzzy decision support system for manufacturing facilities layout planning |
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