Optimization Approaches in Wood Supply Chain Management: A Multi-Problem Perspective Based on Sustainability and Circular Economy

This research examines optimization approaches in wood supply chain management, addressing economic efficiency, environmental sustainability, and social returns. The study analyzes fundamental components and operational mechanisms of the wood supply chain, evaluating state-of-the-art methodologies across strategic, tactical, and operational decision levels. Key optimization problems investigated include vehicle routing, supply-demand matching, transport mode selection, inventory management, network flow, and facility location. The research identifies critical gaps in existing optimization frameworks, particularly in addressing supply variability, seasonal fluctuations, and product deterioration. The study concludes by proposing future research directions, emphasizing the integration of real-time analytics, machine learning, and multi-objective optimization frameworks for enhanced sustainability and operational efficiency. This paper distinguishes itself by examining multiple optimization problems within an integrated wood supply chain framework, revealing their interconnections and trade-offs rather than analyzing them in isolation.