J 2023

Modelling and Coordination of Supply Networks with Dynamic Analytic Network Process

FIALA, Petr and Renata MAJOVSKÁ

Basic information

Original name

Modelling and Coordination of Supply Networks with Dynamic Analytic Network Process

Name in Czech

Modelování a koordinace dodavatelských sítí pomocí dynamické verze metody ANP

Authors

FIALA, Petr (203 Czech Republic, guarantor) and Renata MAJOVSKÁ (203 Czech Republic, belonging to the institution)

Edition

LOGOS POLYTECHNIKOS, Jihlava, Vysoká škola polytechnická Jihlava, 2023, 2464-7551

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

50202 Applied Economics, Econometrics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

RIV identification code

RIV/04274644:_____/23:#0001073

Organization unit

University of Finance and Administration

Keywords (in Czech)

Supply networks; Analytic Network Process; time dependent priorities; compositional data; hybrid procedure

Keywords in English

Supply networks; Analytic Network Process; time dependent priorities; compositional data; hybrid procedure

Tags

International impact, Reviewed
Změněno: 13/2/2024 09:18, Mgr. Jitka Štruncová

Abstract

V originále

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.

In Czech

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.