首页|An efficient approach to solve order batching, batch sequencing and picker routing problems simultaneously in warehouse operations

An efficient approach to solve order batching, batch sequencing and picker routing problems simultaneously in warehouse operations

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Order picking is the most time-consuming and laborious part in warehouse operation. An efficient order batching approach may considerably enhance the effectiveness of the order picking process. In this research, a quadratic programming model is developed to solve the order batching, batch sequencing, and picker routing problems jointly. The objective is to minimise the sum of order processing and tardiness costs for a particular set of customer orders. The model is considered as an NP-hard problem. Therefore, as a solution methodology, a genetic algorithm (GA) based meta-heuristic approach is proposed to solve large-scale problems. A greedy routing technique is also adopted in the GA to estimate the optimal picking sequence for each batch. The effectiveness of the suggested meta-heuristic approach is compared with the earliest due date (EDD) order batching method. The experimental results show that the proposed GA-based approach generates promising results in an acceptable amount of computational time.

order pickingorder batchinggreedy routing policygenetic algorithmGAwarehouse management

Md. Saiful Islam、Md. Kutub Uddin

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Department of Industrial Engineering and Management, Khulna University and Engineering and Technology (KUET), Khulna-9203, Bangladesh

Department of Mechanical Engineering, Khulna University of Engineering and Technology (KUET), Khulna-9203, Bangladesh

2025

International journal of applied decision sciences

International journal of applied decision sciences

ISSN：1755-8077
年,卷(期)：2025.18(4)