Crude Oil Refining by its nature is a diversified and complex business model. Newer and specialized non-linear constraints such as volatility in oil prices, changing demand patterns for petroleum products, stringent environmental regulations related to clean fuels and start-up of new production technologies are continuously being embedded into the system resulting in more complex refining schemes.
In this context, intellectual production planning plays a vital role in maximizing refinery profitability and ensuring logistic reliability more so in the current day Refinery Downstream Model which oscillates its nature between a Supply-driven and a Demand-driven model.
Linear programming software such as Aspen PIMS, Haverly GRTMPS, Honeywell RPMS etc. becomes a handy planning tool to select crude, optimize product mix and to determine optimal operating conditions over a desired time-frame.