USED COOKING OIL RECYCLING COMPANY
BUSINESS PROBLEMÂ
A long-standing Scalesology customer specializes in collecting Used Cooking Oil (UCO) from restaurants across the United States. Optimizing the timing of truck dispatches to each restaurant is critical, as it can mean the difference between profitability and monetary loss. Adding to the complexity is the challenge of efficiently routing a single truck to multiple locations within a day to maximize the truck’s load capacity.
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SCALESOLOGY IN ACTIONÂ
Scalesology determined that the key to optimizing service routes involves considering the proximity of restaurants to one another, the predicted volume of oil within each tank, and the number of restaurants a single driver can service in a given week. While advanced routing algorithms, such as those employed by major package delivery companies, were initially considered, Scalesology found that a simpler geographic clustering algorithm better suited the customer’s specific needs. This algorithm evaluates the addresses of the restaurants, identifies their geographic locations, and groups them into clusters of N restaurants. Here, N represents the maximum number of restaurants a driver can service in a week, with each cluster strategically designed to minimize geographic spread.
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RESULT
The UCO Manufacturing company successfully implemented the clustering algorithm to optimize its service routes. The generated clusters minimize the time drivers spend traveling between restaurants while ensuring all customers are reliably served. The routing optimization has resulted in significant cost savings for the company, enabling them to focus their recruiting efforts on expanding into new areas.
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