Author(s)

Qixing Jiang ¹

Affiliation(s)

¹ Hangzhou Jiang Technology Co., Ltd., Hangzhou, Zhejiang, 310000, China

Corresponding Author

Qixing Jiang

ABSTRACT

This paper advances a paradigm shift in digital transformation discourse by treating technology not as a set of efficiency tools but as a structural force that actively reconfigures electronic appliance supply chains. Moving beyond incremental automation, it argues that digital enablers-IoT-driven real-time visibility, multi-agent AI for decentralized coordination, and synchronized digital twins-fundamentally reshape network topology, governance logic, and resilience architecture. Drawing on engineering management and industrial informatics, the study identifies three emergent structural archetypes: the Resilient Mesh, which replaces hierarchical control with protocol-based, federated autonomy; the Adaptive Spine, which strategically centralizes core capabilities while distributing peripheral functions to AI-optimized local clusters; and the Temporal Stack, which dynamically modulates supply chain configuration across product lifecycle phases to align with shifting priorities-from co-design intensity at launch to circularity integration in decline. The analysis reveals that implementation barriers are rarely technical but stem from deeper systemic tensions: semantic interoperability gaps between legacy ERP systems and IIoT event streams; governance conflicts between supplier data sovereignty and collective network intelligence; and critical shortages of professionals fluent in both supply chain dynamics and digital system semantics. Empirical grounding is strengthened through comparative functional mapping of AI coordination paradigms and governance delegation matrices, illustrating how decision authority, update frequency, and failure ownership vary across structural models. The paper concludes by proposing a theory of structurally-aware digital transformation, advocating for evaluation frameworks centered on structural impact metrics-such as node centrality redistribution and path redundancy-rather than conventional operational KPIs. It further outlines future research frontiers, including quantum-secure identity infrastructure, neuromorphic edge controllers for topology agility, and regulatory sandboxes enabling cross-border structural experimentation.

KEYWORDS

Digital transformation; Supply chain structure; Structural optimization; Electronic appliances; Cyber-physical systems; Industrial informatics; Resilient supply networks

CITE THIS PAPER

Qixing Jiang. Digital Transformation and Structural Optimization of Electronic Appliance Supply Chains. Journal of Electrotechnology, Electrical Engineering and Management (2026). Vol. 9, No.1, 88-96. DOI: http://dx.doi.org/10.23977/jeeem.2026.090111.

REFERENCES

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