Strategic redesign of the forest-based biomass supply chain through optimization and sensitivity analysis

FRANK CECILIO, PIEDRA JIMENEZ; NOVAS, J. MATIAS; RODRIGUEZ, MARIA ANALIA

Jornada; Jornadas Argentinas de Informática; 2022

SADIO - Sociedad Argentina de Informática

The Forest Biorefinery Supply Chain (FBSC) redesign problem isaddressed. A Generalized Disjunctive Programming (GDP) model isconstructed and it is reformulated as Mixed Integer Linear Programming(MILP). The proposed superstructure of FBSC scope (i) the strategic location offorest biomass-based biofuel facilities, and its integration with installedtraditional forest industries. In addition, the model determine (ii) feedstockharvesting amount at each forest area; and (iii) transportation flows along allFBSC arcs over a multi-period horizon planning. The applicability of theproposed model is demonstrated through a case study considering differentuncertainty settings. A series of sensitivity analyses is performed to determinethe impact of variations on the proposed FBSC. The variations in the sellingprice of products, biomass availability, and demand of products are addressed inthe sensitivity analysis.