Title: Supply chain governance for sustainable solar energy system: impact of artificial intelligence

Authors: Monica Bhatia; Pradyumn Chaturvedi; Vikas Khare

Addresses: School of Business Management, Super Corridor Rd., Gandhi Nagar, Indore, Madhya Pradesh 452005, India ' Visvesvaraya National Institute of Technology, South Ambazari Road, Nagpur, Maharashtra, 440010, India ' School of Technology, Management and Engineering, NMIMS Super Corridor Rd., Gandhi Nagar, Indore, Madhya Pradesh 452005, India

Abstract: This paper delves into various facets of supply chain management for solar energy systems, with a particular focus on the profound impact of AI. It explores the current state of solar energy supply chain management, emphasising the need for improved efficiency, environmental sustainability, and reliability. The creation of a semantic network for supply chain management of solar energy systems highlights the significance of structured knowledge representation, fostering intelligent decision-making and real-time responsiveness to dynamic operational challenges. The paper examines into the push-pull view of the solar energy supply chain, where AI plays a pivotal role in orchestrating demand-driven and efficient operations. Additionally, this paper includes a comprehensive strengths, weaknesses, opportunities, threats (SWOT) analysis of supply chain management in the solar energy sector. The SWOT analysis identifies critical areas for improvement and underscores the transformative potential of AI.

Keywords: logistic management; inventory management; SWOT analysis; supplier selection; artificial intelligence.

DOI: 10.1504/IJETP.2025.151047

International Journal of Energy Technology and Policy, 2025 Vol.20 No.3/4, pp.246 - 275

Received: 12 Jan 2024
Accepted: 08 Jul 2024
Published online: 12 Jan 2026 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article