KRIVÁNEK, Samuel, Hana RUDOVÁ and Václav SOBOTKA. Multi-Floor Warehouse Planning. Online. In Knowledge Engineering for Planning and Scheduling. 2024, 4 pp.
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Basic information
Original name Multi-Floor Warehouse Planning
Authors KRIVÁNEK, Samuel, Hana RUDOVÁ and Václav SOBOTKA.
Edition Knowledge Engineering for Planning and Scheduling, 4 pp. 2024.
Other information
Original language English
Type of outcome Proceedings paper
Country of publisher Canada
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
Organization unit Faculty of Informatics
Keywords (in Czech) Warehouse planning; order picking; real-world problem; Notino
Tags International impact, Reviewed
Changed by Changed by: doc. Mgr. Hana Rudová, Ph.D., učo 3840. Changed: 7/10/2024 09:53.
Abstract
We will introduce complex real-world warehouse planning problem we deal with in cooperation with the company Notino. Planning of tens of thousands of orders containing several products is handled daily in a multi-floor warehouse. We aim to solve the order-picking problem that involves organizing the orders to be picked and the manual pickers collecting particular orders. We will discuss components to solve particular tasks of the order-picking problem and its solution approaches, which are being implemented together with the warehouse simulator. We will concentrate on the application of the heuristic methods that are applied to handle the multifloor design of the warehouse efficiently. We will summarize the ongoing results of our current work on real-life data with orders covering a half year of processing.
Links
MUNI/A/1586/2023, interní kód MUName: Aplikovaný výzkum na FI: Forenzní aspekty kritických infrastruktur, aplikovaná kryptografie, kyberbezpečnostní cvičení, algoritmy plánování v logistice a pro zpracování dat z fyzikálních sensorů
Investor: Masaryk University, Applied research at FI: Forensic aspects of critical infrastructures, applied cryptography, cybersecurity trainings, scheduling algorithms logistics and algorithms for physical sensors
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