ENHANCE EFICIENCY IN ORDER PICKING: A CASE STUDY OF DHL COMPANY

Abstract

Order picking is a warehouse task that involves locating items in storage and retrieving them to fulfill specific client requests. Several orders from different customers combined into a single picking order might boost warehouse productivity. The Order Batching Problem, which is the subject of this study, asks how various client orders should be combined into selecting orders so that the overall duration of all warehouse tours is kept to a minimum. For the Order Batching Problem, we develop a Mix-Interger Linear Programming (MILP) in this study that takes S-shape (traversal) and return routing policies into account for solving the order batching, assignment and pickers routing problems