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Design of a biofuel supply network under stochastic and price-dependent biomass availability

Gökhan Memişoğlu, Halit Üster

2021IISE Transactions26 citationsDOI

Abstract

This article presents a framework for profit-maximizing strategic bio-energy supply chain design by taking into account variability in biomass as a response to price set as well as uncertainty in biomass yield. We present our model as a two-stage stochastic integer program for a multi-period integrated design of a network in which the here-and-now strategic decisions include biorefinery locations and size as well as base biomass price. To efficiently solve our model, we suggest an L-shaped-based algorithm along with a Sample Average Approximation approach. Finally, we demonstrate our results in a case study in Texas using realistic data. Within our framework, we present the relationship between biomass and biofuel price, as well as the optimal network design for the biofuel producer.

Topics & Concepts

BiorefineryBiofuelBiomass (ecology)Profit (economics)Supply chainSupply networkComputer scienceRenewable energyNetwork planning and designEnvironmental economicsMathematical optimizationOperations researchEnvironmental scienceEconomicsMicroeconomicsMathematicsBusinessEngineeringPower (physics)EcologyWaste managementElectrical engineeringComputer networkMarketingBiologyQuantum mechanicsPhysicsForest Biomass Utilization and ManagementBiofuel production and bioconversionSustainable Supply Chain Management
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