Original scientific paper
https://doi.org/10.30765/er.2622
Designing a resilient supply chain network with a decentralized strategy under uncertainty
Akbar Alemtabriz
; Department of Management, Shahid Beheshti University, Tehran, Iran.
*
Payam Mohebbi
; Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Mohammad Javad Ershadi
orcid.org/0000-0002-7006-7580
; Department of Information Technology, Iranian Research Institute for information Science and Technology
Amir Azizi
; Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
* Corresponding author.
Abstract
This paper investigates the vulnerability of supply chains to unforeseen disruptions and proposes a novel decentralized approach to enhance resilience. Traditional centralized supply chains are prone to risks, and this study introduces a decentralized model where individual entities make decisions based on local information, improving overall performance. The primary aim is to optimize a three-level resilient supply chain using a multi-objective mathematical model to minimize operational costs and promote decentralization. To address this, the study utilizes three optimization algorithms namely NSGA-III, bat, and whale algorithms where NSGA-III proved most effective by providing the highest number of Pareto-optimal solutions. The bat algorithm showed weaker performance across various metrics. A detailed sensitivity analysis was also conducted, revealing that increasing cost parameters, such as construction, ordering, and transportation, enhances decentralization. For example, a 50% rise in construction costs led to a 40% improvement in decentralization. This research highlights the potential of decentralized models in optimizing supply chain resilience.
Keywords
supply chain network design; resiliency; decentralization; multi-objective optimization; meta-heuristic algorithms
Hrčak ID:
330872
URI
Publication date:
27.2.2025.
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