Blending Optimization at Coco Cola to Make Better Orange Juice

BusinessWeek recently ran an article on Coca Cola’s new orange juice plant.  Although this article doesn’t give the details of their secret production formula (which they call Black Book), it looks like a nice application of the classic linear programming blending problem.  It is also interesting to see all the other data collection and analytics that go into the process.

Here is a key passage from the article:

Black Book isn’t really a secret formula. It’s an algorithm. Revenue Analytics consultant Bob Cross, architect of Coke’s juice model, also built the model Delta Air Lines (DAL) uses to maximize its revenue per mile flown. Orange juice, says Cross, “is definitely one of the most complex applications of business analytics. It requires analyzing up to 1 quintillion decision variables to consistently deliver the optimal blend, despite the whims of Mother Nature.”

The Black Book model includes detailed data about the myriad flavors—more than 600 in all—that make up an orange, and consumer preferences. Those data are matched to a profile detailing acidity, sweetness, and other attributes of each batch of raw juice. The algorithm then tells Coke how to blend batches to replicate a certain taste and consistency, right down to pulp content. Another part of Black Book incorporates external factors such as weather patterns, expected crop yields, and cost pressures. This helps Coke plan so that supplies will be on hand as far ahead as 15 months. “If we have a hurricane or a freeze,” Bippert says, “we can quickly replan the business in 5 or 10 minutes just because we’ve mathematically modeled it.”

 

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