Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13087/3387
Title: The order batching problem: A state-of-the-art review
Authors: Boz, Esra
Aras, Nil
Keywords: Order Batching Problem
Operations Management
Supply Chain Management
Materials Handling
Variable Neighborhood Search
Travel-Time Estimation
Automated Storage
Tabu Search
Multiple Pickers
Picking
Warehouse
Algorithms
Heuristics
Hybrid
Issue Date: 2022
Publisher: Yildiz Technical Univ
Abstract: The Order Batching Problem (OBP) has received a lot of attention from researchers in recent years. Until now, this problem has been considered as a whole with different problems or it has been studied on its own, with different solution methods, in different warehouse layouts, with different data structures. The aim of this study is to provide the researchers with a general analysis for studies using the OBP. In accordance with this purpose; the OBP is analyzed by an extensive literature review that includes all relevant studies to date. This literature review is based on a specific method and the studies are grouped into specific classes. Accordingly, the most studied problem with the OBP is the Picker Routing Problem (PRP) with 17% and 51% of the studies were solved by metaheuristic algorithms. The most widely used metaheuristic algorithms are Neighborhood Search and Genetic Algorithms.
URI: https://doi.org/10.14744/sigma.2022.00018
https://hdl.handle.net/20.500.13087/3387
ISSN: 1304-7205
1304-7191
Appears in Collections:Endüstri Mühendisliği Bölümü Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu

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