Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
The financial data supply chain is vital to the economy, especially for banks. It affects their customer service level, therefore, it is crucial to manage the scheduling of the financial data supply chain to elevate the efficiency of banking sectors’ performance. The primary tool used in the data su...
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2021
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| Online Access: | http://hdl.handle.net/11073/23910 |
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| _version_ | 1864513438360797184 |
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| author | Al Sadawi, Alia |
| author2 | Shamayleh, Abdulrahim Ndiaye, Malick |
| author2_role | author author |
| author_facet | Al Sadawi, Alia Shamayleh, Abdulrahim Ndiaye, Malick |
| author_role | author |
| dc.creator.none.fl_str_mv | Al Sadawi, Alia Shamayleh, Abdulrahim Ndiaye, Malick |
| dc.date.none.fl_str_mv | 2021 2022-06-07T06:18:20Z 2022-06-07T06:18:20Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | Al Sadawi, A.; Shamayleh, A.; Ndiaye, M. Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain. Algorithms 2021, 14, 211. https://doi.org/10.3390/a14070211. [Comment: This article belongs to the Special Issue Scheduling: Algorithms and Applications] 1999-4893 http://hdl.handle.net/11073/23910 10.3390/a14070211 |
| dc.language.none.fl_str_mv | en_US |
| dc.publisher.none.fl_str_mv | MDPI |
| dc.relation.none.fl_str_mv | https://doi.org/10.3390/a14070211 |
| dc.subject.none.fl_str_mv | Financial data Supply chain management Data batching Scheduling Batching cost Parallel processing Optimization Multi-processing commitment |
| dc.title.none.fl_str_mv | Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain |
| dc.type.none.fl_str_mv | Peer-Reviewed Published version info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | The financial data supply chain is vital to the economy, especially for banks. It affects their customer service level, therefore, it is crucial to manage the scheduling of the financial data supply chain to elevate the efficiency of banking sectors’ performance. The primary tool used in the data supply chain is data batch processing which requires efficient scheduling. This work investigates the problem of scheduling the processing of tasks with non-identical sizes and different priorities on a set of parallel processors. An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. The objective is to minimize different cost types while satisfying constraints such as resources availability, customer service level, and tasks dependency relation. The algorithm proved its effectiveness by allocating tasks with higher priority and weight while taking into consideration customers’ Service Level Agreement, time, and different types of costs, which led to a lower total cost of the batching process. The developed algorithm proved effective by testing it on an illustrative network. Also, a sensitivity analysis is conducted by varying the model parameters for networks with different sizes and complexities to study their impact on the total cost and the problem under study. |
| format | article |
| id | aus_ef659bbfd430c04596c6fdf3884dd580 |
| identifier_str_mv | Al Sadawi, A.; Shamayleh, A.; Ndiaye, M. Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain. Algorithms 2021, 14, 211. https://doi.org/10.3390/a14070211. [Comment: This article belongs to the Special Issue Scheduling: Algorithms and Applications] 1999-4893 10.3390/a14070211 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/23910 |
| publishDate | 2021 |
| publisher.none.fl_str_mv | MDPI |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply ChainAl Sadawi, AliaShamayleh, AbdulrahimNdiaye, MalickFinancial dataSupply chain managementData batchingSchedulingBatching costParallel processingOptimizationMulti-processing commitmentThe financial data supply chain is vital to the economy, especially for banks. It affects their customer service level, therefore, it is crucial to manage the scheduling of the financial data supply chain to elevate the efficiency of banking sectors’ performance. The primary tool used in the data supply chain is data batch processing which requires efficient scheduling. This work investigates the problem of scheduling the processing of tasks with non-identical sizes and different priorities on a set of parallel processors. An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. The objective is to minimize different cost types while satisfying constraints such as resources availability, customer service level, and tasks dependency relation. The algorithm proved its effectiveness by allocating tasks with higher priority and weight while taking into consideration customers’ Service Level Agreement, time, and different types of costs, which led to a lower total cost of the batching process. The developed algorithm proved effective by testing it on an illustrative network. Also, a sensitivity analysis is conducted by varying the model parameters for networks with different sizes and complexities to study their impact on the total cost and the problem under study.MDPI2022-06-07T06:18:20Z2022-06-07T06:18:20Z2021Peer-ReviewedPublished versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfAl Sadawi, A.; Shamayleh, A.; Ndiaye, M. Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain. Algorithms 2021, 14, 211. https://doi.org/10.3390/a14070211. [Comment: This article belongs to the Special Issue Scheduling: Algorithms and Applications]1999-4893http://hdl.handle.net/11073/2391010.3390/a14070211en_UShttps://doi.org/10.3390/a14070211oai:repository.aus.edu:11073/239102024-08-22T12:08:56Z |
| spellingShingle | Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain Al Sadawi, Alia Financial data Supply chain management Data batching Scheduling Batching cost Parallel processing Optimization Multi-processing commitment |
| status_str | publishedVersion |
| title | Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain |
| title_full | Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain |
| title_fullStr | Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain |
| title_full_unstemmed | Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain |
| title_short | Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain |
| title_sort | Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain |
| topic | Financial data Supply chain management Data batching Scheduling Batching cost Parallel processing Optimization Multi-processing commitment |
| url | http://hdl.handle.net/11073/23910 |