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Research on MAS-Based Supply Chain Resilience and Its Self-Organized Criticality
Author(s) -
Liang Geng,
Renbin Xiao,
Xing Xu
Publication year - 2014
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2014/621341
Subject(s) - supply chain , resilience (materials science) , criticality , business , psychological resilience , chain (unit) , computer science , industrial organization , risk analysis (engineering) , marketing , psychology , physics , astronomy , nuclear physics , psychotherapist , thermodynamics
Building resilient supply chain is an effective way to deal with uncertain risks. First, by analyzing the self-organization of supply chain, the supply chain resilience is described as a macroscopic property that generates from self-organizing behavior of each enterprise on the microlevel. Second, a MAS-based supply chain resilience model is established and its local fitness function, neighborhood structure, and interaction rules that are applicable to supply chain system are designed through viewing the enterprise as an agent. Finally, with the help of a case, we find that there is an agglomeration effect and a SOC characteristic in supply chain and the evolution of supply chain is controlled by parameters of MAS. Managers can control the supply chain within the resilient range and choose a good balance between interest and risk by controlling enterprises’ behavior

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