Motion Trajectory Prediction in Warehouse Management Systems: A Systematic Literature Review
Background: In the context of Warehouse Management Systems, knowledge related to motion trajectory prediction methods utilizing machine learning techniques seems to be scattered and fragmented. Objective: This study seeks to fill this research gap by using a systematic literature review approach. Me...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-08-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/17/9780 |
| _version_ | 1797582800603316224 |
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| author | Jakub Belter Marek Hering Paweł Weichbroth |
| author_facet | Jakub Belter Marek Hering Paweł Weichbroth |
| author_sort | Jakub Belter |
| collection | DOAJ |
| description | Background: In the context of Warehouse Management Systems, knowledge related to motion trajectory prediction methods utilizing machine learning techniques seems to be scattered and fragmented. Objective: This study seeks to fill this research gap by using a systematic literature review approach. Methods: Based on the data collected from Google Scholar, a systematic literature review was performed, covering the period from 2016 to 2023. The review was driven by a protocol that comprehends inclusion and exclusion criteria to identify relevant papers. Results: Considering the Warehouse Management Systems, five categories of motion trajectory prediction methods have been identified: Deep Learning methods, probabilistic methods, methods for solving the Travelling-Salesman problem (TSP), algorithmic methods, and others. Specifically, the performed analysis also provides the research community with an overview of the state-of-the-art methods, which can further stimulate researchers and practitioners to enhance existing and develop new ones in this field. |
| first_indexed | 2024-03-10T23:27:41Z |
| format | Article |
| id | doaj.art-65bf4e1a50b34efa8ed6642e654a630b |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T23:27:41Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-65bf4e1a50b34efa8ed6642e654a630b2023-11-19T07:51:41ZengMDPI AGApplied Sciences2076-34172023-08-011317978010.3390/app13179780Motion Trajectory Prediction in Warehouse Management Systems: A Systematic Literature ReviewJakub Belter0Marek Hering1Paweł Weichbroth2Meritus Systemy Informatyczne Sp. z.o.o., Prosta 70, 00-838 Warsaw, PolandMeritus Systemy Informatyczne Sp. z.o.o., Prosta 70, 00-838 Warsaw, PolandFaculty of Electronics, Telecomunications and Informatics, Department of Software Engineering, Gdansk University of Technology, 80-233 Gdansk, PolandBackground: In the context of Warehouse Management Systems, knowledge related to motion trajectory prediction methods utilizing machine learning techniques seems to be scattered and fragmented. Objective: This study seeks to fill this research gap by using a systematic literature review approach. Methods: Based on the data collected from Google Scholar, a systematic literature review was performed, covering the period from 2016 to 2023. The review was driven by a protocol that comprehends inclusion and exclusion criteria to identify relevant papers. Results: Considering the Warehouse Management Systems, five categories of motion trajectory prediction methods have been identified: Deep Learning methods, probabilistic methods, methods for solving the Travelling-Salesman problem (TSP), algorithmic methods, and others. Specifically, the performed analysis also provides the research community with an overview of the state-of-the-art methods, which can further stimulate researchers and practitioners to enhance existing and develop new ones in this field.https://www.mdpi.com/2076-3417/13/17/9780motion trajectory predictionwarehouse management systemsystematic literature review |
| spellingShingle | Jakub Belter Marek Hering Paweł Weichbroth Motion Trajectory Prediction in Warehouse Management Systems: A Systematic Literature Review Applied Sciences motion trajectory prediction warehouse management system systematic literature review |
| title | Motion Trajectory Prediction in Warehouse Management Systems: A Systematic Literature Review |
| title_full | Motion Trajectory Prediction in Warehouse Management Systems: A Systematic Literature Review |
| title_fullStr | Motion Trajectory Prediction in Warehouse Management Systems: A Systematic Literature Review |
| title_full_unstemmed | Motion Trajectory Prediction in Warehouse Management Systems: A Systematic Literature Review |
| title_short | Motion Trajectory Prediction in Warehouse Management Systems: A Systematic Literature Review |
| title_sort | motion trajectory prediction in warehouse management systems a systematic literature review |
| topic | motion trajectory prediction warehouse management system systematic literature review |
| url | https://www.mdpi.com/2076-3417/13/17/9780 |
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