Multicriteria model for maintenance benchmarking
• This article describes the first multicriteria model to apply competitive and generic maintenance benchmarking. • Discrete probability distributions are used so this provides a significant improvement over the use of industrial averages. • The multicriteria model uses fuzzy AHP to include the ambi...
Ausführliche Beschreibung
Autor*in: |
Carnero, María Carmen [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2014 |
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Schlagwörter: |
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Umfang: |
19 |
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Übergeordnetes Werk: |
Enthalten in: Lebenshilfe Berlin - Berlin : Landesverband, 1979, 33(2014), 2, Seite 303-321 |
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Übergeordnetes Werk: |
volume:33 ; year:2014 ; number:2 ; pages:303-321 ; extent:19 |
Links: |
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DOI / URN: |
10.1016/j.jmsy.2013.12.006 |
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ELV017443105 |
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10.1016/j.jmsy.2013.12.006 doi /export/home/cbs_olc/import_discovery/elsevier/convert/GBV-Archive_01_06_pica_neu/GBVA2014009000019.pica (DE-627)ELV017443105 (ELSEVIER)S0278-6125(13)00129-5 DE-627 ger DE-627 rakwb eng 360 VZ Carnero, María Carmen verfasserin aut Multicriteria model for maintenance benchmarking 2014 19 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • This article describes the first multicriteria model to apply competitive and generic maintenance benchmarking. • Discrete probability distributions are used so this provides a significant improvement over the use of industrial averages. • The multicriteria model uses fuzzy AHP to include the ambiguities and uncertainties involved in the judgment. • Discrete probability distributions were created in different industrial sectors. • The final utility of an alternative is calculated by a multi-measure utility function. Discrete probability distribution Elsevier Benchmarking Elsevier Maintenance Elsevier Fuzzy AHP Elsevier Monte Carlo simulation Elsevier Enthalten in Lebenshilfe Berlin Berlin : Landesverband, 1979 33(2014), 2, Seite 303-321 (DE-627)165728922 (DE-600)8612-5 (DE-576)9165728920 nnns volume:33 year:2014 number:2 pages:303-321 extent:19 https://doi.org/10.1016/j.jmsy.2013.12.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 33 2014 2 303-321 19 |
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• This article describes the first multicriteria model to apply competitive and generic maintenance benchmarking. • Discrete probability distributions are used so this provides a significant improvement over the use of industrial averages. • The multicriteria model uses fuzzy AHP to include the ambiguities and uncertainties involved in the judgment. • Discrete probability distributions were created in different industrial sectors. • The final utility of an alternative is calculated by a multi-measure utility function. |
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• This article describes the first multicriteria model to apply competitive and generic maintenance benchmarking. • Discrete probability distributions are used so this provides a significant improvement over the use of industrial averages. • The multicriteria model uses fuzzy AHP to include the ambiguities and uncertainties involved in the judgment. • Discrete probability distributions were created in different industrial sectors. • The final utility of an alternative is calculated by a multi-measure utility function. |
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• This article describes the first multicriteria model to apply competitive and generic maintenance benchmarking. • Discrete probability distributions are used so this provides a significant improvement over the use of industrial averages. • The multicriteria model uses fuzzy AHP to include the ambiguities and uncertainties involved in the judgment. • Discrete probability distributions were created in different industrial sectors. • The final utility of an alternative is calculated by a multi-measure utility function. |
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code="w">(DE-576)9165728920</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:33</subfield><subfield code="g">year:2014</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:303-321</subfield><subfield code="g">extent:19</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.jmsy.2013.12.006</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">33</subfield><subfield code="j">2014</subfield><subfield code="e">2</subfield><subfield code="h">303-321</subfield><subfield code="g">19</subfield></datafield></record></collection>
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