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Comparison of AHP and ANP Methods for Resilience Measurement in Supply Chains

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F14%3A%230000151" target="_blank" >RIV/29142890:_____/14:#0000151 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of AHP and ANP Methods for Resilience Measurement in Supply Chains

  • Original language description

    The paper presents the utilization possibilities of multi-criteria decision-making methods for supply chain resilience measurement. Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) designed by Saaty are used for this purpose. The aim of this paper is to make a comparative analysis of the methods and point out the main differences between them, to identify the advantages, disadvantages, risks and limitations in the application of these methods in supply chain resilience measurement.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    METAL 2014: 23rd International Conference on Metallurgy and Materials

  • ISBN

    978-80-87294-54-3

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1947-1952

  • Publisher name

    TANGER

  • Place of publication

    Ostrava, Czech Republic

  • Event location

    Brno, Czech Republic

  • Event date

    Jan 1, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000350641700321