Semantic Scholar Open Access 2020 333 sitasi

Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study

Jacob Lohmer Niels Bugert R. Lasch

Abstrak

Resilience enables supply chains to reduce their proneness to disruptions and recover faster. Many existing strategies to strengthen the resilience of supply chains are facilitated by the use of digital technology. Blockchain, as one of the promising innovative technologies, enables a transparent, secure, and timely data exchange and automation via smart contracts. In this paper, we discuss the impact of blockchain technology on supply chain risk management and, in particular, on supply chain resilience. We identify potential risk-related blockchain application scenarios and examine their impact on the existing resilience strategies. We explore the impact of the most promising applications with respect to resilience by using an agent-based simulation model of a complex supply network affected by disruptions. The theoretical analysis reveals a promotion of supply chain resilience strategies, especially if smart contracts are used for risk-related collaboration. The simulation study indicates an increase in resilience if the underlying collaboration is based on time-efficient processes: The propagation of disruptions, the network recovery time, and total costs can be substantially reduced. However, depending on the duration of the disruption, negative effects can occur if process efficiency is insufficient. From our investigations, we derive insights for managers who are interested in practical implementation.

Penulis (3)

J

Jacob Lohmer

N

Niels Bugert

R

R. Lasch

Format Sitasi

Lohmer, J., Bugert, N., Lasch, R. (2020). Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study. https://doi.org/10.1016/j.ijpe.2020.107882

Akses Cepat

Lihat di Sumber doi.org/10.1016/j.ijpe.2020.107882
Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Total Sitasi
333×
Sumber Database
Semantic Scholar
DOI
10.1016/j.ijpe.2020.107882
Akses
Open Access ✓