Integrating Modified Delphi with Fuzzy AHP for Concrete Production Facility Location Selection
Evaluation and selection of concrete production facility location is an important strategic decision making problem for both public and private sector. The multi-dimensional, multi-criteria nature of the concrete production facility location problem limits the usefulness of any particular single obj...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Kabir, Golam [verfasserIn] Sumi, Razia Sultana [verfasserIn] |
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E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Umfang: |
1 Online-Ressource |
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| Übergeordnetes Werk: |
Enthalten in: International journal of fuzzy system applications - Hershey, Pa : IGI Global, 2011, 3(2013), 3, Seite 68-81 |
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| Übergeordnetes Werk: |
volume:3 ; year:2013 ; number:3 ; pages:68-81 |
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10.4018/ijfsa.2013070104 |
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| 520 | |a Evaluation and selection of concrete production facility location is an important strategic decision making problem for both public and private sector. The multi-dimensional, multi-criteria nature of the concrete production facility location problem limits the usefulness of any particular single objective model. In this study, social, economical, technological, environmental and transportation factors and sub criteria, have been derived to make the optimal concrete production facility location selection decision more realistic and effectual. In this paper, an improved and more appropriate concrete production facility location evaluation and selection model has been developed by integrating Modified Delphi Method (MDM) with Fuzzy Analytic Hierarchy Process (FAHP). A numerical example is presented to show applicability and performance of the proposed methodology followed by a sensitivity analysis to discuss and explain the results | ||
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Evaluation and selection of concrete production facility location is an important strategic decision making problem for both public and private sector. The multi-dimensional, multi-criteria nature of the concrete production facility location problem limits the usefulness of any particular single objective model. In this study, social, economical, technological, environmental and transportation factors and sub criteria, have been derived to make the optimal concrete production facility location selection decision more realistic and effectual. In this paper, an improved and more appropriate concrete production facility location evaluation and selection model has been developed by integrating Modified Delphi Method (MDM) with Fuzzy Analytic Hierarchy Process (FAHP). A numerical example is presented to show applicability and performance of the proposed methodology followed by a sensitivity analysis to discuss and explain the results |
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Evaluation and selection of concrete production facility location is an important strategic decision making problem for both public and private sector. The multi-dimensional, multi-criteria nature of the concrete production facility location problem limits the usefulness of any particular single objective model. In this study, social, economical, technological, environmental and transportation factors and sub criteria, have been derived to make the optimal concrete production facility location selection decision more realistic and effectual. In this paper, an improved and more appropriate concrete production facility location evaluation and selection model has been developed by integrating Modified Delphi Method (MDM) with Fuzzy Analytic Hierarchy Process (FAHP). A numerical example is presented to show applicability and performance of the proposed methodology followed by a sensitivity analysis to discuss and explain the results |
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Evaluation and selection of concrete production facility location is an important strategic decision making problem for both public and private sector. The multi-dimensional, multi-criteria nature of the concrete production facility location problem limits the usefulness of any particular single objective model. In this study, social, economical, technological, environmental and transportation factors and sub criteria, have been derived to make the optimal concrete production facility location selection decision more realistic and effectual. In this paper, an improved and more appropriate concrete production facility location evaluation and selection model has been developed by integrating Modified Delphi Method (MDM) with Fuzzy Analytic Hierarchy Process (FAHP). A numerical example is presented to show applicability and performance of the proposed methodology followed by a sensitivity analysis to discuss and explain the results |
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The multi-dimensional, multi-criteria nature of the concrete production facility location problem limits the usefulness of any particular single objective model. In this study, social, economical, technological, environmental and transportation factors and sub criteria, have been derived to make the optimal concrete production facility location selection decision more realistic and effectual. In this paper, an improved and more appropriate concrete production facility location evaluation and selection model has been developed by integrating Modified Delphi Method (MDM) with Fuzzy Analytic Hierarchy Process (FAHP). A numerical example is presented to show applicability and performance of the proposed methodology followed by a sensitivity analysis to discuss and explain the results</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Analytic Hierarchy Process</subfield><subfield code="a">Concrete Production Facility Location</subfield><subfield code="a">Delphi Method</subfield><subfield code="a">Fuzzy Set Theory</subfield><subfield code="a">Multi-Criteria Analysis</subfield><subfield code="a">Sensitivity Analysis</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sumi, Razia Sultana</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of fuzzy system applications</subfield><subfield code="d">Hershey, Pa : IGI Global, 2011</subfield><subfield code="g">3(2013), 3, Seite 68-81</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ244418993</subfield><subfield code="w">(DE-600)2703297-8</subfield><subfield code="x">2156-1761</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:3</subfield><subfield code="g">year:2013</subfield><subfield code="g">number:3</subfield><subfield code="g">pages:68-81</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijfsa.2013070104</subfield><subfield code="m">X:IGIG</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijfsa.2013070104&buylink=true</subfield><subfield code="3">Abstract</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-GIS</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">3</subfield><subfield code="j">2013</subfield><subfield code="e">3</subfield><subfield code="h">68-81</subfield></datafield></record></collection>
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