The Drivers of Complexity in Inventory Management Within the Healthcare Industry: A Systematic Review
The purpose of this study is to investigate the complexities of inventory management in the healthcare industry for improving efficiency and resilience in healthcare supply chains. A Systematic Literature review using Scopus database and PRISMA approach was performed. Driven by innovation and techno...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| التنسيق: | article |
| منشور في: |
2024
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://hdl.handle.net/11073/33113 |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513435001159680 |
|---|---|
| author | Al Khatib, Inas |
| author2 | Alasheh, Suha Shamayleh, Abdulrahim |
| author2_role | author author |
| author_facet | Al Khatib, Inas Alasheh, Suha Shamayleh, Abdulrahim |
| author_role | author |
| dc.creator.none.fl_str_mv | Al Khatib, Inas Alasheh, Suha Shamayleh, Abdulrahim |
| dc.date.none.fl_str_mv | 2024 2026-01-28T09:50:07Z 2026-01-28T09:50:07Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | Al Khatib, I., Alasheh, S., & Shamayleh, A. (2024). The Drivers of Complexity in Inventory Management Within the Healthcare Industry. International Journal of Service Science, Management, Engineering, and Technology, 15(1), 1–26. https://doi.org/10.4018/ijssmet.347332 1947-959X https://hdl.handle.net/11073/33113 10.4018/IJSSMET.347332 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | IGI Global |
| dc.relation.none.fl_str_mv | https://doi.org/10.4018/ijssmet.347332 |
| dc.rights.none.fl_str_mv | Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
| dc.subject.none.fl_str_mv | Economic Order Quantity Model Healthcare, Inventory Management Just-In-Time Methodology Lean Supply Chain Reorder Point Method Supply Chain Management Technology |
| dc.title.none.fl_str_mv | The Drivers of Complexity in Inventory Management Within the Healthcare Industry: A Systematic Review |
| dc.type.none.fl_str_mv | Peer-Reviewed Published version info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | The purpose of this study is to investigate the complexities of inventory management in the healthcare industry for improving efficiency and resilience in healthcare supply chains. A Systematic Literature review using Scopus database and PRISMA approach was performed. Driven by innovation and technology, new developments are changing the face of inventory management. Predictive analytics and stock optimization are made possible by the increasing deployment of AI and machine learning. Autonomous Mobile Robots and RFID technology are being used more for quick identification and data collection, while Internet-of-Things devices are used for real-time tracking. Blockchain technology to guarantee supply chain traceability and transparency is also being investigated. Another is automation through robots, which lowers human error and increases warehouse operation efficiency. Finally, the incorporation of cloud-based systems such as SMART logistics and E-logistics platforms enables distant access to inventory information, encouraging adaptability and cooperation across various sites. |
| format | article |
| id | aus_d3707ac4d209dbc50a0c1faa71bde5fa |
| identifier_str_mv | Al Khatib, I., Alasheh, S., & Shamayleh, A. (2024). The Drivers of Complexity in Inventory Management Within the Healthcare Industry. International Journal of Service Science, Management, Engineering, and Technology, 15(1), 1–26. https://doi.org/10.4018/ijssmet.347332 1947-959X 10.4018/IJSSMET.347332 |
| language_invalid_str_mv | en |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/33113 |
| publishDate | 2024 |
| publisher.none.fl_str_mv | IGI Global |
| 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 | The Drivers of Complexity in Inventory Management Within the Healthcare Industry: A Systematic ReviewAl Khatib, InasAlasheh, SuhaShamayleh, AbdulrahimEconomic Order Quantity ModelHealthcare, Inventory ManagementJust-In-Time MethodologyLean Supply ChainReorder Point MethodSupply Chain ManagementTechnologyThe purpose of this study is to investigate the complexities of inventory management in the healthcare industry for improving efficiency and resilience in healthcare supply chains. A Systematic Literature review using Scopus database and PRISMA approach was performed. Driven by innovation and technology, new developments are changing the face of inventory management. Predictive analytics and stock optimization are made possible by the increasing deployment of AI and machine learning. Autonomous Mobile Robots and RFID technology are being used more for quick identification and data collection, while Internet-of-Things devices are used for real-time tracking. Blockchain technology to guarantee supply chain traceability and transparency is also being investigated. Another is automation through robots, which lowers human error and increases warehouse operation efficiency. Finally, the incorporation of cloud-based systems such as SMART logistics and E-logistics platforms enables distant access to inventory information, encouraging adaptability and cooperation across various sites.IGI Global2026-01-28T09:50:07Z2026-01-28T09:50:07Z2024Peer-ReviewedPublished versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfAl Khatib, I., Alasheh, S., & Shamayleh, A. (2024). The Drivers of Complexity in Inventory Management Within the Healthcare Industry. International Journal of Service Science, Management, Engineering, and Technology, 15(1), 1–26. https://doi.org/10.4018/ijssmet.3473321947-959Xhttps://hdl.handle.net/11073/3311310.4018/IJSSMET.347332enhttps://doi.org/10.4018/ijssmet.347332Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/oai:repository.aus.edu:11073/331132026-01-29T08:27:11Z |
| spellingShingle | The Drivers of Complexity in Inventory Management Within the Healthcare Industry: A Systematic Review Al Khatib, Inas Economic Order Quantity Model Healthcare, Inventory Management Just-In-Time Methodology Lean Supply Chain Reorder Point Method Supply Chain Management Technology |
| status_str | publishedVersion |
| title | The Drivers of Complexity in Inventory Management Within the Healthcare Industry: A Systematic Review |
| title_full | The Drivers of Complexity in Inventory Management Within the Healthcare Industry: A Systematic Review |
| title_fullStr | The Drivers of Complexity in Inventory Management Within the Healthcare Industry: A Systematic Review |
| title_full_unstemmed | The Drivers of Complexity in Inventory Management Within the Healthcare Industry: A Systematic Review |
| title_short | The Drivers of Complexity in Inventory Management Within the Healthcare Industry: A Systematic Review |
| title_sort | The Drivers of Complexity in Inventory Management Within the Healthcare Industry: A Systematic Review |
| topic | Economic Order Quantity Model Healthcare, Inventory Management Just-In-Time Methodology Lean Supply Chain Reorder Point Method Supply Chain Management Technology |
| url | https://hdl.handle.net/11073/33113 |