Artificial Intelligence and Systemic Resilience: Energy, Finance, and Logistics in Sustainable Supply Chains
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".
Deadline for manuscript submissions: 24 November 2025 | Viewed by 13
Special Issue Editors
Interests: green supply chain; sustainable supply chain; close-loop chain; eco-innovation; city logistics; logistics; transport systems; city economics; strategy in logistics; transportation; performance measurement in logistics and supply chain; efficiency in logistics; circular economy; smart city; risk management in the supply chain; uncertainty; vulnerability of the supply chain; logistics; resilience in supply chain; uncertainty supply chain; energy poverty
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the era of climate change, energy transition, geopolitical uncertainty, and digital transformation, the concept of systemic resilience has become central to the effective functioning of supply chains and energy systems. Systemic resilience encompasses energy, financial, and operational dimensions, and is crucial for ensuring business continuity, risk management, and sustainability across industries. This Special Issue seeks to explore how Artificial Intelligence (AI) and related digital technologies (machine learning, big data analytics, digital twins, IoT) can be applied to enhance the resilience of complex supply chains—both within and beyond the energy sector. The aim is to highlight integrative approaches that combine energy resilience, financial robustness, and ESG goals, contributing to long-term stability and efficiency. We invite contributions that address the multi-dimensional nature of resilience in supply chains, focusing on the role of AI in risk anticipation, resource optimization, and real-time adaptation. We are particularly interested in papers that present theoretical models, practical applications, and case studies at the intersection of energy systems, financial stability, and sustainable logistics.
In the context of climate change, geopolitical uncertainty, and advancing digitalization, research on the energy and financial resilience of entire logistics and production systems is gaining increasing importance. Particular challenges concern energy management in supply chains, including in transport, industry, warehousing, and services.
Topics of interest include, but are not limited to: AI for energy and operational resilience in supply chains Financial resilience and ESG compliance in logistics and energy-intensive sectors Predictive models of energy and financial shocks using AI and machine learning Sustainable and adaptive supply chain networks supported by digital technologies The role of AI in mitigating disruptions in transport, storage, and distribution Resilience indicators and measurement frameworks in the context of SDGs AI-based tools for decarbonization and energy efficiency in supply chains Intelligent resource allocation in response to energy price volatility AI for early warning systems and dynamic response to crisis events Case studies of resilient supply chains in the energy and manufacturing sectors.
Dr. Blanka Tundys
Prof. Dr. Magdalena Zioło
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- supply chains
- energy and financial resilience
- energy management in supply chains
- artificial intelligence and systemic resilience
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