Prioritizing Risks in Last Mile Delivery: A Bayesian Belief Network Approach
The remarkable explosion of e-commerce has marked the latest years of different industries and put forward a higher requirement for the last mile delivery. The last mile delivery is one of the most complex, costly, and inefficient processes along the entire logistics fulfillment chain in an e-commer...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| التنسيق: | article |
| منشور في: |
2022
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://hdl.handle.net/11073/33293 |
| الوسوم: |
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| _version_ | 1864513431864868864 |
|---|---|
| author | Mismar, Hajed |
| author2 | Shamayleh, Abdulrahim Qazi, Abroon |
| author2_role | author author |
| author_facet | Mismar, Hajed Shamayleh, Abdulrahim Qazi, Abroon |
| author_role | author |
| dc.creator.none.fl_str_mv | Mismar, Hajed Shamayleh, Abdulrahim Qazi, Abroon |
| dc.date.none.fl_str_mv | 2022-11-15 2026-04-15T13:47:57Z 2026-04-15T13:47:57Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | Mismar, H., Shamayleh, A., & Qazi, A. (2022). Prioritizing Risks in Last Mile Delivery: A Bayesian Belief Network Approach. IEEE Access, 10, 118551–118562. https://doi.org/10.1109/access.2022.3220626 2169-3536 https://hdl.handle.net/11073/33293 10.1109/access.2022.3220626 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | EEE |
| dc.relation.none.fl_str_mv | https://doi.org/10.1109/access.2022.3220626 |
| dc.rights.none.fl_str_mv | Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
| dc.subject.none.fl_str_mv | Bayesian belief network E-Commerce Last Mile Delivery Risk Risk Assessment Risk Management COVID-19 |
| dc.title.none.fl_str_mv | Prioritizing Risks in Last Mile Delivery: A Bayesian Belief Network Approach |
| dc.type.none.fl_str_mv | Peer-Reviewed Published version info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | The remarkable explosion of e-commerce has marked the latest years of different industries and put forward a higher requirement for the last mile delivery. The last mile delivery is one of the most complex, costly, and inefficient processes along the entire logistics fulfillment chain in an e-commerce context. Its corresponding risks are major contributors to delivery failure. This work proposes a comprehensive framework on risk identification and analysis in the last mile delivery to support delivery planning. Risks were deduced from available literature, and others were induced through semi-structured interviews with experts in the field. Risks are categorized and the relative probability and severity of individual risks are determined. This study adopts a Bayesian Belief Network (BBN) model to identify the interdependency among risks and rank them, as the conventional ranking methods fail to take interdependency into account. The results indicate that privacy concerns, IT, and natural disasters are the most critical risks. This study will aid logistics service providers to ultimately deciding the solutions of last mile delivery that need to be utilized by prioritizing last mile delivery possible risks to increase their competitiveness and market share and minimize delivery costs. |
| format | article |
| id | aus_6c700c62c9e7f6052f69f2fd663fa130 |
| identifier_str_mv | Mismar, H., Shamayleh, A., & Qazi, A. (2022). Prioritizing Risks in Last Mile Delivery: A Bayesian Belief Network Approach. IEEE Access, 10, 118551–118562. https://doi.org/10.1109/access.2022.3220626 2169-3536 10.1109/access.2022.3220626 |
| language_invalid_str_mv | en |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/33293 |
| publishDate | 2022 |
| publisher.none.fl_str_mv | EEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
| spelling | Prioritizing Risks in Last Mile Delivery: A Bayesian Belief Network ApproachMismar, HajedShamayleh, AbdulrahimQazi, AbroonBayesian belief networkE-CommerceLast Mile DeliveryRiskRisk AssessmentRisk ManagementCOVID-19The remarkable explosion of e-commerce has marked the latest years of different industries and put forward a higher requirement for the last mile delivery. The last mile delivery is one of the most complex, costly, and inefficient processes along the entire logistics fulfillment chain in an e-commerce context. Its corresponding risks are major contributors to delivery failure. This work proposes a comprehensive framework on risk identification and analysis in the last mile delivery to support delivery planning. Risks were deduced from available literature, and others were induced through semi-structured interviews with experts in the field. Risks are categorized and the relative probability and severity of individual risks are determined. This study adopts a Bayesian Belief Network (BBN) model to identify the interdependency among risks and rank them, as the conventional ranking methods fail to take interdependency into account. The results indicate that privacy concerns, IT, and natural disasters are the most critical risks. This study will aid logistics service providers to ultimately deciding the solutions of last mile delivery that need to be utilized by prioritizing last mile delivery possible risks to increase their competitiveness and market share and minimize delivery costs.EEE2026-04-15T13:47:57Z2026-04-15T13:47:57Z2022-11-15Peer-ReviewedPublished versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfMismar, H., Shamayleh, A., & Qazi, A. (2022). Prioritizing Risks in Last Mile Delivery: A Bayesian Belief Network Approach. IEEE Access, 10, 118551–118562. https://doi.org/10.1109/access.2022.32206262169-3536https://hdl.handle.net/11073/3329310.1109/access.2022.3220626enhttps://doi.org/10.1109/access.2022.3220626Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/oai:repository.aus.edu:11073/332932026-04-16T05:38:34Z |
| spellingShingle | Prioritizing Risks in Last Mile Delivery: A Bayesian Belief Network Approach Mismar, Hajed Bayesian belief network E-Commerce Last Mile Delivery Risk Risk Assessment Risk Management COVID-19 |
| status_str | publishedVersion |
| title | Prioritizing Risks in Last Mile Delivery: A Bayesian Belief Network Approach |
| title_full | Prioritizing Risks in Last Mile Delivery: A Bayesian Belief Network Approach |
| title_fullStr | Prioritizing Risks in Last Mile Delivery: A Bayesian Belief Network Approach |
| title_full_unstemmed | Prioritizing Risks in Last Mile Delivery: A Bayesian Belief Network Approach |
| title_short | Prioritizing Risks in Last Mile Delivery: A Bayesian Belief Network Approach |
| title_sort | Prioritizing Risks in Last Mile Delivery: A Bayesian Belief Network Approach |
| topic | Bayesian belief network E-Commerce Last Mile Delivery Risk Risk Assessment Risk Management COVID-19 |
| url | https://hdl.handle.net/11073/33293 |