Supply Chain Resilience In Energy Operations: Integrating Intelligent Data, Strategic Inventory, And Regional Supply Networks
DOI:
https://doi.org/10.37497/opsbrazil.43Keywords:
Supply Chain Resilience, Energy Supply Chain, Inventory Management, Intelligent Data, Digital Supply Chain, Regionalization, Localization, Operational ExcellenceResumo
Supply chain resilience has become a strategic requirement for organizations operating in increasingly complex and volatile environments. This challenge is particularly significant in the energy sector, where supply networks depend on geographically dispersed suppliers, specialized materials, complex logistics systems, regulatory requirements, and time-sensitive field operations. This article examines how intelligent data, strategic inventory management, regional supply networks, and operational excellence can be integrated to strengthen supply chain resilience in energy operations.
The study adopts a qualitative, case-based analytical approach grounded in documented professional experience across global energy and industrial supply chains. The analysis examines supply chain transformation initiatives involving inventory strategy, vendor-managed inventory, localization, logistics network redesign, demand-to-delivery transformation, sourcing optimization, and digital supply chain capabilities. The evidence indicates that resilience should not be interpreted simply as maintaining additional inventory or duplicating suppliers. Rather, resilient supply networks emerge from the coordinated management of information, inventory, sourcing, logistics, regional capabilities, and organizational processes.
The analysis further indicates that digital technologies, including artificial intelligence and the Internet of Things, can enhance supply chain visibility, forecasting, planning, and decision-making when supported by structured and reliable data. The findings suggest that organizations can simultaneously improve resilience and financial performance by redesigning inventory strategies, developing regional supply capabilities, optimizing logistics networks, and integrating data-driven decision-making into operational governance.
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Referências
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