Kurly Presents Genetic Algorithm-Based Logistics Production Planning Optimization Paper at IEEM 2022

In late December 2022, Kurly presented a paper on logistics center production planning optimization at the IEEE IEEM 2022 conference held in Kuala Lumpur, Malaysia. This conference is an academic conference in the field of industrial engineering, and Kurly drew attention by introducing a case where it solved an actual practical problem despite it being an academic paper.

Kurly's logistics system adopts the Batch Picking method, so how well customer orders are grouped into optimal batches is key. An optimized batch reduces the number of unique items that need to be processed, increasing the efficiency of picking and distribution work. Kurly defined this as the problem of finding the 'production plan with the fewest unique items.'

In the paper, a Genetic Algorithm, one of the metaheuristic techniques, was applied. The algorithm was designed to represent production plans as genes and search for the gene that minimizes the number of unique items. Based on this, Kurly's Data Platform team developed an optimization server, which is currently being applied to actual logistics centers to verify the productivity improvement effect.