Scenario Reduction Methods

Designing Integrated Biorefineries Supply Chain: Combining Stochastic Programming Models with Scenario Reduction Methods

H. Paulo, T. Cardoso-Grilo, S. Relvas, A.P. Barbosa-PĆ³voa

Computer Aided Chemical Engineering (Published)
Nov, 2017

his paper addresses the design and planning of integrated biorefineries supply chain under uncertainty. A two-stage stochastic mixed integer linear programming (MILP) model is proposed considering the presence of uncertainty in the residual lignocellulosic biomass availability and technology conversion…

Continue Reading

ARE YOU INTERESTED IN A COLLABORATION ?

Whether you are looking for a research group to support you on your research topic or you have a difficult problem to solve, contact us and possibly start a collaboration

Contact us