Revolutionizing Supply Chains: Unleashing the Power of AI-Driven Intelligent Automation and Real-Time Information Flow

Information, Journal Year: 2025, Volume and Issue: 16(1), P. 26 - 26

Published: Jan. 6, 2025

Artificial intelligence (AI) and smart automation are revolutionizing the global supply chain ecosystem at an accelerated pace, providing tremendous potential for resilience, innovation, efficacy, profitability. This paper examines how AI, machine learning (ML), robotic process (RPA) influence operations to adjust risks vulnerabilities. It focuses on AI other relevant technologies will enhance forecasting predict actual demand, expedite logistics, increase warehouse efficiency, promote instantaneously making decisions. study utilizes thematic analysis find AI-driven applications, including logistics optimization, risk mitigation, among 383 peer-reviewed articles (2017–2024). provides a strategic framework dealing with vulnerabilities, operational excellence, resilient solutions. Additionally, research investigates contributes resilience by predicting disruptions automating mitigation strategies. identifies critical success factors challenges in adopting intelligent analyzing real-world industry implementations. The findings propose organizations aiming leverage achieve agility, real-time information flow effective decision-making.

Language: Английский

Sustainable Waste Management as a Determinant of Quality of Life in Croatian Island Communities

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3490 - 3490

Published: April 14, 2025

This study examines the impact of sustainable waste management on quality life inhabitants Croatian island communities, focusing how practices contribute to tourism development. aims provide policymakers and local stakeholders with insights into implementation effective strategies that improve environmental protection well-being residents. research aligns United Nations Sustainable Development Goals (SDGs), particularly SDG 11 (Sustainable Cities Communities) by promoting in 12 (Responsible Consumption Production) encouraging reduction recycling, 14 (Life Below Water). uses a survey-based quantitative method, collecting data from 585 residents Kvarner islands using structured questionnaire. The hypotheses are tested, relationships between practices, life, development looked at partial least squares structural equation modeling (PLS-SEM). concludes management, driven active participation separation significantly increases supports islands. supported community is crucial for improving It emphasizes integrating policies can conserve resources ensure long-term communities.

Language: Английский