Abstract

This chapter provides a comprehensive overview of leading optimization approaches for hedging against various types of uncertainty in the biomass supply chain design and planning models, including stochastic programming, fuzzy programming, robust optimization, and data-driven optimization. Additionally, a systematic classification and literature review of biomass to biofuel supply chain studies according to the source of uncertainty, uncertainty modeling approach, the biomass type, and case study region is presented. The main conclusions from the review of the biomass supply chain modeling and optimization models under uncertainty are also discussed.

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