FIALA, Petr a Renata MAJOVSKÁ. Modelling and Coordination of Supply Networks with Dynamic Analytic Network Process. LOGOS POLYTECHNIKOS. Jihlava: Vysoká škola polytechnická Jihlava, 2023, roč. 14, č. 3, s. 4-13. ISSN 2464-7551.
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Základní údaje
Originální název Modelling and Coordination of Supply Networks with Dynamic Analytic Network Process
Název česky Modelování a koordinace dodavatelských sítí pomocí dynamické verze metody ANP
Autoři FIALA, Petr (203 Česká republika, garant) a Renata MAJOVSKÁ (203 Česká republika, domácí).
Vydání LOGOS POLYTECHNIKOS, Jihlava, Vysoká škola polytechnická Jihlava, 2023, 2464-7551.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 50202 Applied Economics, Econometrics
Stát vydavatele Česká republika
Utajení není předmětem státního či obchodního tajemství
WWW Celý text článku
Kód RIV RIV/04274644:_____/23:#0001073
Organizační jednotka Vysoká škola finanční a správní
Klíčová slova česky Supply networks; Analytic Network Process; time dependent priorities; compositional data; hybrid procedure
Klíčová slova anglicky Supply networks; Analytic Network Process; time dependent priorities; compositional data; hybrid procedure
Štítky AR 2023-2024, odmeny_2024, RIV_2024, xJ5
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Mgr. Jitka Štruncová, učo 38491. Změněno: 13. 2. 2024 09:18.
Anotace
Supply chain management is more and more affected by the network and dynamic business environment. There are inefficiencies in supply network behaviour. Coordination and cooperation can significantly improve the efficiency of supply networks. There are some approaches to modelling and analysing the supply dynamics. Important features of this environment are presented in the proposed approach. The combination of network structure modelling and simulating the dynamic behaviour of units in supply network can be a powerful instrument for coordination in dynamic supply networks. The AHP (Analytic Hierarchy Process) method is modified with respect to network structures and the dynamics of the analysed systems. The ANP (Analytic Network Process) method is appropriate for setting priorities in network systems where there are different types of dependencies between evaluation criteria and system elements. However, with time-varying environments in network systems, time-dependent priorities play an increasingly important role. Long-term priorities can be based on time-dependent comparisons of criteria and system elements. For short-term prediction, exponential smoothing of compositional data can be used. The paper proposes a hybrid procedure DNAP (Dynamic Analytic Network Process) that combines and enriches advantages and benefits of both approaches by analysing network systems.
Anotace česky
Supply chain management is more and more affected by the network and dynamic business environment. There are inefficiencies in supply network behaviour. Coordination and cooperation can significantly improve the efficiency of supply networks. There are some approaches to modelling and analysing the supply dynamics. Important features of this environment are presented in the proposed approach. The combination of network structure modelling and simulating the dynamic behaviour of units in supply network can be a powerful instrument for coordination in dynamic supply networks. The AHP (Analytic Hierarchy Process) method is modified with respect to network structures and the dynamics of the analysed systems. The ANP (Analytic Network Process) method is appropriate for setting priorities in network systems where there are different types of dependencies between evaluation criteria and system elements. However, with time-varying environments in network systems, time-dependent priorities play an increasingly important role. Long-term priorities can be based on time-dependent comparisons of criteria and system elements. For short-term prediction, exponential smoothing of compositional data can be used. The paper proposes a hybrid procedure DNAP (Dynamic Analytic Network Process) that combines and enriches advantages and benefits of both approaches by analysing network systems.
VytisknoutZobrazeno: 4. 5. 2024 15:29