Mathematical optimization has been used for more than half a century by leading oil, gas, and petrochemical enterprises in a wide variety of off-the-shelf and custom-built applications to address a whole host of business problems including batch production planning and scheduling, product portfolio allocation, multi-period blending, network design, sales and operations planning, and multi-modal transportation planning.
Today – as the oil, gas, and petrochemical industry enters into a new era of change and complexity – mathematical optimization remains an essential AI tool for enterprises across the value chain, empowering them to optimize their business operations and
outcomes and to overcome the challenges that they face.
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