Bunker fuel oil (ifo), one of the products of petroleum refining, has a strong impact in the
production process because it drives the availability of heavy residues that depend on the …

In this paper, we describe a non-linear programming model for operational planning of oil
refineries, considering exogenous (external) and endogenous (internal) uncertainties. Three …

In view of the current situation of fluctuating high crude oil prices, it is now more important
than ever for petroleum refineries to operate at an optimal level in the present dynamic …

In this paper, we describe a nonlinear programming (NLP) model for operational planning of
oil refineries, considering uncertainties related to oil supply and refinery capacity. Three …

Operational decisions for crude oil scheduling activities are determined on a daily basis and
have a strong impact on the overall supply chain cost. The challenge is to develop a feasible …

Crude oil selection and procurement is the most important step in the refining process and
impacts the profit margin of the refinery significantly. Due to uncertain quality of the crudes …

A multi-period stochastic planning model has been developed and implemented for a supply
chain network of a petroleum organization operating in an oil producing country under …

Most models for refinery planning are deterministic, that is, they use nominal parameter
values without considering the uncertainty. This paper addresses the issue of uncertainty …

This paper presents a literature review in the area of refinery planning models with
emphasis on the main techniques to deal with optimisation under uncertainty. The studies …

Most commercial models (PIMS, RPMS, PETRO) perform refinery planning under
deterministic conditions, that is, they do not consider uncertainty in process, demands …