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Keywords

digital network; reconfiguration; industrial and supply chain; resilience

Abstract

In situations of uncertainty and disturbance, the digital industrial and supply chain is susceptible to encountering various risks, including cost hikes, decreased efficiency, and even disruptions. These situations not only affect the production and manufacturing of products but also the overall functionality of the entire digital industrial and supply chain. Since the resilience of the digital industrial and supply chain is intricately linked to its network structure, it is imperative to examine the reconfiguration of this structure in order to enhance the resilience. The objective of the research is to bolster the resilience of digital industrial and supply chains. This is achieved by categorizing various disturbance scenarios into three types based on the frequency of disruptive factors and the chain’s feedback capacity. Based on their frequency of occurrence, disturbance factors are categorized into discrete and continuous types, and then further divided into scenarios with and without feedback, contingent upon the ability of the digital industrial chain��s supply chain to mitigate these factors. By merging these two dimensions, the disturbances are delineated into three distinct scenarios, enabling the digital industrial and supply chain to reconfigure its network structure through corresponding pathways, thereby enhancing network resilience. These scenarios encompass: discrete disturbances ( Type I) , continuous disturbances without feedback ( Type II) , and continuous disturbances with feedback ( Type III) . Type I disturbances are typically abrupt and non-recurring within a specified period T, necessitating effective ‘ clean-up’ measures to ensure stable chain operation. In this context, embedding digital technology is seen as a means to enhance network connectivity, fostering a stable and resilient chain structure. On the other hand, Type II disturbances necessitate the digital industrial and supply chain to continually search for adaptive strategies within a specified period T to ensure overall chain security. To tackle this situation, business integration and innovation are suggested as means to enhance network competitiveness, facilitating chain replenishment and expansion. Lastly, Type III disturbances demonstrate a feedback mechanism within the digital industrial chain��s supply chain, progressively alleviating continuous disturbances over a specified period T and eradicating hazardous factors at their origin. In this scenario, the application of complex scenarios is deemed crucial for achieving resilience chain enhancement. Subsequently, based on the unique characteristics of each disturbance scenario, corresponding reconfiguration pathways are proposed, establishing a three-dimensional reconfiguration framework comprising ‘ Type I Disturbance-Stabilizing and Fortifying the Chain through Digital Technology Integration’ ‘ Type II Disturbance-Complementing and Extending the Chain via Business Integration and Innovation ’ , and‘ Type III Disturbance-Enhancing and Upgrading the Chain through Application in Complex Scenarios’ . On this basis, the single-layer, multi-layer, and composite-layer networks are reconfigured respectively, and the changing trend of network structural resilience and functional resilience is explored through network topological characteristics. Among them, functional resilience is analyzed through comparative assessments based on random and deliberate attacks on the network, thereby capturing the enhancing role of digital network structure reconfiguration on the resilience of the digital industrial chain supply chain network from a more diversified perspective. A simulation analysis of reconfiguration and resilience is conducted using XiaoMi Auto as a case study, and the key findings of the study encompass: First, leveraging digital technology to foster coordination across various levels and dimensions of industrial chain supply chains aids in strengthening cooperation among network node enterprises and dismantling resource monopolies, ultimately enhancing resilience. Second, by reconstructing the network, augmenting its connectivity assists individual node enterprises with substantial systems in forming a small-world structure, thereby bolstering risk dispersion capabilities. Third, the revamped digital industrial chain supply chain network demonstrates a notable buffering effect against both random and targeted attacks, indicating that networks with robust cooperation exhibit relatively high levels of structural and functional resilience in the face of disruptions.

DOI

10. 16315/j. stm. 2025. 01. 004

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