Transaction Processing Policies in a Flexible Shuttle-based Storage and Re-trieval System by Real-time Data Tracking under Agent-based Modelling
This study investigates priority assignment rules (PARs) for transaction processing in automated warehouses featuring a shuttle-based storage and retrieval system (SBSRS). By incorporating real-time data tracking through agent-based modeling, the research explores the unique aspect of the SBSRS desi...
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| Format: | Article |
| Language: | English |
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Ram Arti Publishers
2023-12-01
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| Series: | International Journal of Mathematical, Engineering and Management Sciences |
| Subjects: | |
| Online Access: | https://www.ijmems.in/cms/storage/app/public/uploads/volumes/62-IJMEMS-23-0220-8-6-1083-1112-2023.pdf |
| _version_ | 1827793793745682432 |
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| author | Banu Y. Ekren |
| author_facet | Banu Y. Ekren |
| author_sort | Banu Y. Ekren |
| collection | DOAJ |
| description | This study investigates priority assignment rules (PARs) for transaction processing in automated warehouses featuring a shuttle-based storage and retrieval system (SBSRS). By incorporating real-time data tracking through agent-based modeling, the research explores the unique aspect of the SBSRS design, which involves flexible travel of robotic order picker shuttles be-tween tiers. The paper proposes PARs under agent-based modeling to enhance multi-objective performance metrics, including average flow time (AFT), maximum flow time (MFT), outlier transaction AFT, and standard deviations of flow times (SD) within the system. Experimental evaluations are conducted with various warehouse designs, comparing the results against commonly used static scheduling rules. The findings demonstrate that real-time tracking policies significantly improve system performance. Specifically, prioritizing the processing of outliers based on transaction waiting time enhances MFT, SD, and other performance metrics, while minimizing adverse effects on AFT. Certain rules exhibit notable improvements in MFT and SD, while others achieve the lowest AFT values among all experiments. This paper contributes to the existing literature by presenting a multi-objective performance improvement procedure and highlighting the advantages of real-time data track-ing-based scheduling policies in automated warehousing systems. |
| first_indexed | 2024-03-11T18:23:43Z |
| format | Article |
| id | doaj.art-0bfa9e4d286042d393f67c9225eeda22 |
| institution | Directory Open Access Journal |
| issn | 2455-7749 |
| language | English |
| last_indexed | 2024-03-11T18:23:43Z |
| publishDate | 2023-12-01 |
| publisher | Ram Arti Publishers |
| record_format | Article |
| series | International Journal of Mathematical, Engineering and Management Sciences |
| spelling | doaj.art-0bfa9e4d286042d393f67c9225eeda222023-10-14T14:38:42ZengRam Arti PublishersInternational Journal of Mathematical, Engineering and Management Sciences2455-77492023-12-018610831112https://doi.org/10.33889/IJMEMS.2023.8.6.062Transaction Processing Policies in a Flexible Shuttle-based Storage and Re-trieval System by Real-time Data Tracking under Agent-based ModellingBanu Y. Ekren0Department of Industrial Engineering, Yasar University, Izmir, Turkey & School of Management, Cranfield University, United KingdomThis study investigates priority assignment rules (PARs) for transaction processing in automated warehouses featuring a shuttle-based storage and retrieval system (SBSRS). By incorporating real-time data tracking through agent-based modeling, the research explores the unique aspect of the SBSRS design, which involves flexible travel of robotic order picker shuttles be-tween tiers. The paper proposes PARs under agent-based modeling to enhance multi-objective performance metrics, including average flow time (AFT), maximum flow time (MFT), outlier transaction AFT, and standard deviations of flow times (SD) within the system. Experimental evaluations are conducted with various warehouse designs, comparing the results against commonly used static scheduling rules. The findings demonstrate that real-time tracking policies significantly improve system performance. Specifically, prioritizing the processing of outliers based on transaction waiting time enhances MFT, SD, and other performance metrics, while minimizing adverse effects on AFT. Certain rules exhibit notable improvements in MFT and SD, while others achieve the lowest AFT values among all experiments. This paper contributes to the existing literature by presenting a multi-objective performance improvement procedure and highlighting the advantages of real-time data track-ing-based scheduling policies in automated warehousing systems.https://www.ijmems.in/cms/storage/app/public/uploads/volumes/62-IJMEMS-23-0220-8-6-1083-1112-2023.pdfsbsrsshuttle-basedautomated warehousingstorage and retrieval systemshuttle-based storage and retrieval system |
| spellingShingle | Banu Y. Ekren Transaction Processing Policies in a Flexible Shuttle-based Storage and Re-trieval System by Real-time Data Tracking under Agent-based Modelling International Journal of Mathematical, Engineering and Management Sciences sbsrs shuttle-based automated warehousing storage and retrieval system shuttle-based storage and retrieval system |
| title | Transaction Processing Policies in a Flexible Shuttle-based Storage and Re-trieval System by Real-time Data Tracking under Agent-based Modelling |
| title_full | Transaction Processing Policies in a Flexible Shuttle-based Storage and Re-trieval System by Real-time Data Tracking under Agent-based Modelling |
| title_fullStr | Transaction Processing Policies in a Flexible Shuttle-based Storage and Re-trieval System by Real-time Data Tracking under Agent-based Modelling |
| title_full_unstemmed | Transaction Processing Policies in a Flexible Shuttle-based Storage and Re-trieval System by Real-time Data Tracking under Agent-based Modelling |
| title_short | Transaction Processing Policies in a Flexible Shuttle-based Storage and Re-trieval System by Real-time Data Tracking under Agent-based Modelling |
| title_sort | transaction processing policies in a flexible shuttle based storage and re trieval system by real time data tracking under agent based modelling |
| topic | sbsrs shuttle-based automated warehousing storage and retrieval system shuttle-based storage and retrieval system |
| url | https://www.ijmems.in/cms/storage/app/public/uploads/volumes/62-IJMEMS-23-0220-8-6-1083-1112-2023.pdf |
| work_keys_str_mv | AT banuyekren transactionprocessingpoliciesinaflexibleshuttlebasedstorageandretrievalsystembyrealtimedatatrackingunderagentbasedmodelling |