Abstract

This paper aims to provide a comprehensive but concise review of the various quantitative methods, in particular, optimization techniques, for the efficient management and control of complex forest biomass supply chains. The review is structured around a top-down hierarchical planning approach that includes strategic, tactical, and operational decisions. At each planning level, the review presents and analyses the problem to be solved, the solution (optimization) methods, and the various aspects to take into consideration for the successful implementation and use of these methods by biomass supply chain planners. Forest biomass constitutes one of the various sources of renewable energy with the potential to reduce the consumption of fossil fuels and greenhouse gas emissions. Fo rest biomass supply chains are systems with complex network designs consisting of many supply, demand, and intermediate points where the biomass is collected, stored, processed, and transported. The complexity of these supply chains as well as various factors impact the effective supply of forest-based biomass. For example, the biomass characteristics (e.g., energy content or quality), the variability in the market and economic conditions, and processing of the biomass are the main factors. The complexity requires a good understanding of the methods that exist to manage and optimize forest biomass supply chains. Although substantial research has been done around forest biomass supply chain management and optimization, future research should focus on developing integrated frameworks that allow the optimization of biomass supply chains at the strategic, tactical, and operational level. These studies should also explore and propose approaches for the successful implementation of the proposed optimization methods.

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