SUPPLY CHAIN MANAGEMENT MODELS IN GAS EXTRACTION ENTERPRISES IN THE ERA OF DIGITAL TRANSFORMATION

Abstract

Background. Supply chain management in the gas extraction industry is marked by high structural complexity, capital intensity, and sensitivity to technological and market risks. Traditional SCM models often prove insufficient in such conditions, highlighting the need for their adaptation to digital transformation and the integration of intelligent technologies. The purpose of the study is to identify sector-specific SCM characteristics in gas extraction and to develop a hybrid Digital-Resilient model suited to contemporary technological and operational challenges.
Methods. The methodological framework of the research is based on a systemic approach and incorporates a comparative analysis of the SCOR, Lean, Agile, and Digital SCM models. The study also draws on content analysis of academic literature and case analysis of practices implemented by leading global and Ukrainian gas extraction companies. Furthermore, analytical modelling was applied to assess the impact of digital technologies on the performance indicators of supply chains and to develop a structural model tailored to the specifics of the gas extraction industry.
Results. None of the classical SCM models alone ensures effective supply chain management in digitally transforming gas extraction, but each offers key advantages. A hybrid Digital-Resilient SCM model was developed, combining SCOR's process structure, Lean's cost-efficiency, Agile's adaptability, and Digital SCM's technological capabilities. Case studies from Shell, Naftogaz Group, and DTEK show that digital solutions: digital twins, ERP platforms, Big Data, and IoT, enhance cost efficiency, planning accuracy, and operational resilience. Analytical estimates suggest the model could reduce logistics costs by 10-15%, lower equipment downtime by 20-25%, and improve forecasting accuracy to around 95%.
Conclusions. The proposed hybrid model provides an effective framework for modernizing SCM in gas extraction, enhancing resilience, transparency, and operational efficiency. Its scientific novelty lies in highlighting industry-specific supply chain features and combining operational efficiency with digital robustness. Future research should quantify the impact of digital technologies, model their economic effects, and expand the environmental dimension of SCM by integrating ESG practices.