Toptal

Creating efficient supply chains is one of the greatest challenges of the 2020s—and not just because of the disruptions brought about by the COVID-19 pandemic. Supply chains were strained before the pandemic due to global bottlenecks and shortages in labor and equipment. To keep up with demand, market players must rapidly modernize business processes through digitization and intelligent planning.

My career as a developer and data science consultant is focused on heavy industry: rail, mining, oil and gas, shipping, and postal logistics. All of these sectors have been greatly impacted by supply chain issues over these last few years. In this piece, I explore how mathematical optimization modeling and Python can resolve a core challenge in the coal mining industry: satisfying customized demand and maximizing profit through product blending.

An Optimization Approach for the Modern Supply Chain

In the typical supply chain scenario, a supplier delivers a specific finished product

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