Warehouse Layout Optimization for Order Picking in E-commerce Industry

Kmet, Maksym

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Students Research & Project Works | Роботи студентів
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Факультет прикладних наук
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Бакалаврська програма "Комп'ютерні науки"
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2022
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dc.contributor.author	Kmet, Maksym
dc.date.accessioned	2024-02-14T11:42:45Z
dc.date.available	2024-02-14T11:42:45Z
dc.date.issued	2022
dc.identifier.citation	Kmet, Maksym. Warehouse Layout Optimization for Order Picking in E-commerce Industry / Kmet, Maksym; Supervisor: Oleh Lukianykhin; Ukrainian Catholic University, Department of Computer Sciences. – Lviv: 2022. – 35 p.	uk
dc.identifier.uri	https://er.ucu.edu.ua/handle/1/4430
dc.language.iso	en	uk
dc.title	Warehouse Layout Optimization for Order Picking in E-commerce Industry	uk
dc.type	Preprint	uk
dc.status	Публікується вперше	uk
dc.description.abstracten	This project focuses on the order picking process of a fulfillment center supplying products of e-commerce websites. The fulfillment center employs a manual picker system where pickers move on foot, collecting products from a batch of orders that were requested. Efficiency of an order picking process is defined by the time the pickers spend on collecting orders. This time can be separated into 2 components: orders picking time and orders sorting time. The goal of this project is to reduce order picking time by solving a storage location assignment problem (SLAP). The project consists of two main parts: picking time prediction and picking time optimisation by solving SLAP. As a result a Random Forest model was trained to predict orders picking time based on storage location of products. This model was used to estimate walking time change for new assigned product storage locations (new warehouse layout). New product storage locations were generated using suggested heuristic based on SHAP values obtained from the trained Random Forest model. The new layout satisfies required constraints and can be implemented in the corresponding real world warehouse, while being 23% more efficient in terms of order collection time.	uk