The Role of Linear Programming in Strategic Decision-Making
An LP is a sophisticated mathematical model that helps refiners determine the most profitable path forward. While routinely used for short-term operational optimization, it also is a powerful application in long-range strategic planning.
In a strategic context, the LP model is used to evaluate complex scenarios by comparing various potential projects to a base case. This process clarifies the differential economics of major capital investments. The modeling approach is methodical:
- Calibration case. First, a calibration case is built to reflect actual operations (typically a summer and winter period), ensuring that the model accurately represents the facility's real-world performance.
- Base case. This establishes a "do nothing," or status quo forecast, which introduces strategic constraints like crude slate, throughput and sales. It serves as the benchmark against which all strategic options are measured.
- Scenario cases. Finally, multiple scenario cases are developed to model the impact of different capital investments, market conditions or regulatory futures. These could range from unit revamps to entirely new process units.
By analyzing thousands of variables — from crude inputs and process unit configurations to final product slates — the LP helps answer critical strategic questions. For example, given the diverging long-term demand for gasoline and distillates, what is the best strategic use of the refinery’s gas oil? Should the refinery continue to crack it into gasoline via the FCC, or does the ROI justify the major capital investment in hydrocracker capacity to shift production toward diesel and jet fuel?
