The aim of the present work is to provide an integrated decision support approach for the design and scheduling of multipurpose batch plants under demand uncertainty allowing the assessment of alternative risk profile solutions. Based on two-stage mixed integer linear programming (MILP) model…
Continue Reading
This paper develops a multistage stochastic programming to optimally solve the distribution problem of refined products. The stochastic model relies on a time series analysis, as well as on a scenario tree analysis, in order to effectively deal and represent uncertainty in oil price and demand. The ARIMA…
Continue Reading
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
Uncertainties arise from several sources and may introduce diverse risks within the oil supply chain (OSC), hindering its management, besides raising costs and lowering margins. The purpose of this work is to present a new stochastic approach to deal with different sources of uncertainty, by…
Continue ReadingWhether 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