How does the trust affect the topology of supply chain network and its resilience? An agent-based approach

Yunzhang Hou, Xiaoling Wang, Yenchun Jim Wu, Peixu He

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

This paper builds a dynamic supply chain network, where firms can select suppliers according to the trust, the selling price or just randomly. Simulation results show that the trust-based rule can significantly increase the aggregated working capital and decrease firm's likelihoods of bankruptcy. Moreover, firms’ sizes under trust-based and price-based rules follow power-law distributions. The degree distribution of supply chain network under price-based rule follows a power-law distribution, while those under trust-based and randomly-choosing rules are similar to that of random network. Furthermore, results also indicate that trust-based rule is the most robust one against random and targeted disruptions.

Original languageEnglish
Pages (from-to)229-241
Number of pages13
JournalTransportation Research Part E: Logistics and Transportation Review
Volume116
DOIs
Publication statusPublished - 2018 Aug
Externally publishedYes

Keywords

  • Complex adaptive system
  • Multi-agent simulation
  • Supply chain network
  • Supply chain resilience
  • Supply disruption

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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