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Naslov:Research on recovery strategies of supply chain network under disruption propagation using memetic algorithm
Avtorji:ID Li, Z. Y. (Avtor)
ID Zhao, P. X. (Avtor)
ID Wang, C. L. (Avtor)
ID Mi, Y. Z. (Avtor)
Datoteke:.pdf APEM19-1_021-030.pdf (757,79 KB)
MD5: 3A6D05D059ABDC1175BA9562B961D6EA
 
URL https://apem-journal.org/Archives/2024/Abstract-APEM19-1_021-030.html
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Opis:In the context of the economic globalization, there is an increased disruption risk in the supply chain network due to the outsourcing, complexity and uncertainty. At the same time, the disruption may propagate across the entire supply chain network because of the interdependence. With the resource constraints, appropriate recovery strategies which can minimize the impact of disruption propagation and effectively improve the supply chain network resilience have attracted a great deal of attention. In this paper, we first construct the disruption propagation model considering the recovery strategy based on the characteristics of the competitiveness, time delay and underload cascading failure in the supply chain network. This model uses the memetic algorithm to determine the set of recovery nodes among all disruption nodes, which can minimize the impact of disruption propagation. And then, the simulation analysis is conducted on the synthetic network and the real-world supply chain network. We compare the proposed recovery strategy with other strategies (according to the genetic algorithm, according to the descending order of the load of failure node, according to the ascending order of the load of failure node, according to the descending order of the node degree, according to the ascending order of the node degree) and provide decision-making reference against supply chain disruptions.
Ključne besede:supply chain network, disruption propagation, recovery strategy, memetic algorithm
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:13.09.2023
Datum sprejetja članka:08.02.2024
Datum objave:29.04.2024
Založnik:Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering
Leto izida:2024
Št. strani:str. 21-30
Številčenje:Vol. 19, no. 1
PID:20.500.12556/DKUM-96745 Novo okno
UDK:658.5
COBISS.SI-ID:266210819 Novo okno
DOI:10.14743/apem2024.1.490 Novo okno
ISSN pri članku:1854-6250
Datum objave v DKUM:27.01.2026
Število ogledov:167
Število prenosov:1
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Gradivo je del revije

Naslov:Advances in production engineering & management
Skrajšan naslov:Adv produc engineer manag
Založnik:Fakulteta za strojništvo, Inštitut za proizvodno strojništvo
ISSN:1854-6250
COBISS.SI-ID:229859072 Novo okno

Gradivo je financirano iz projekta

Financer:the Social Science Planning Research Project of Shandong Province
Številka projekta:grant numbers 20CGLJ11

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:dobavne verige, strategija okrevanja, memetični algoritmi


Zbirka

To gradivo je del naslednjih zbirk del:
  1. Advances in production engineering & management

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