A Two-Part Approach to Optimal Warehouse Order Picking

Having established batching and packing strategies, the next step is optimizing picker routes within the warehouse. This involves determining the most efficient path for pickers to minimize travel time and maximize picking productivity. 1. Routing Algorithms: Savings Algorithm: This algorithm prioritizes picking locations that generate the most "savings" in travel time compared to individual picking routes. S-Shape Algorithm: This method constructs a picking route that resembles an "S" shape, minimizing travel between widely spaced locations. Genetic Algorithm: This AI-powered approach simulates natural selection, iteratively improving picking routes to find the global optimum.