A Conceptual Framework for Forest Supply Chain Design Considering Integrated Conversion Facilities for Second-Generation Bioethanol Production

FRANK CECILIO, PIEDRA JIMENEZ; JUAN MATIAS NOVAS; RODRIGUEZ, MARIA ANALIA

Conferencia; 2nd Latinoramerican Conference on Sustainable Development of Energy, Water and Environment Systems; 2020

In this paper, an optimization model for the forest supply chain (FSC) design is proposed. The optimization problem is formulated as a generalized disjunctive programming (GDP) framework and reformulated as mixed integer linear programming (MILP) model. It involves a set of design and planning decisions such as (i) location, sizes and technology of the supply chain facilities; (ii) feedstock amounts at each forest site; (iii) flow quantities for each transportation link. Also, the model addresses (i) the concept of integrated plants and/or co-location; (ii) the dynamic capacity strategy and economies of scale in facilities; and (iii) a piecewise linear transportation cost function. The model is implemented in GAMS 24.1 and its feasibility has been tested using data from a real case study from Argentina. As result, the FSC configuration and its structural changes over time (opening, and facility expansion) were determined. Additionally, the model determines sourcing allocation, differentiated material flows among facilities in a multiperiod time horizon. Another result is the special treatment of production clusters conformation, a centralized integrated facility will serve as the base of the cluster where intermediate products from the satellite mills will be treated and transformed into value added products. Computational results show that the proposal serves as a decision-making tool, which allows the projection of FSC structure in the long term