DUAL-OBJECTIVE ORDER SEQUENCING IN A PUT-WALL-BASED PICKING STATION
DOI:
https://doi.org/10.23055/ijietap.2024.31.2.9757Keywords:
Order pickingAbstract
The growing e-commerce market has forced distribution companies to provide faster and more accurate delivery services. The order-picking process is the most time-consuming and labor-intensive of the logistics processes carried out in a distribution center. This study considers an order sequencing problem in a put-wall-based picking station. We introduce the problem of distributors aiming to optimize the order-picking sequence to minimize the total dwell time of SKUs as well as the maximum number of SKUs dwelling at the picking station. To tackle this problem, we propose a three-solution approach involving mixed integer nonlinear programming (MINLP), mixed integer linear programming (MILP), and NSGA-II, a non-dominated sorting genetic algorithm. Additionally, we conduct a comparative analysis and verify the performance capabilities of each approach through numerical experiments.
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