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The Drivers of Complexity in Inventory Management Within the Healthcare Industry: A Systematic Review

Author

Listed:
  • Inas Al Khatib

    (American University of Sharjah, UAE)

  • Suha Alasheh

    (American University in Sharjah, UAE)

  • Abdulrahim Shamayleh

    (American University in Sharjah, UAE)

Abstract

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.

Suggested Citation

  • Inas Al Khatib & Suha Alasheh & Abdulrahim Shamayleh, 2024. "The Drivers of Complexity in Inventory Management Within the Healthcare Industry: A Systematic Review," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global Scientific Publishing, vol. 15(1), pages 1-26, January.
    • Handle: RePEc:igg:jssmet:v:15:y:2024:i:1:p:1-26
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    References listed on IDEAS

    as
    1. Yasaman Mashayekhy & Amir Babaei & Xue-Ming Yuan & Anrong Xue, 2022. "Impact of Internet of Things (IoT) on Inventory Management: A Literature Survey," Logistics, MDPI, vol. 6(2), pages 1-19, May.
    2. Asmae El Mokrini & Tarik Aouam & Nadine Kafa, 2023. "A tailored aggregation strategy for inventory pooling in healthcare: evidence from an emerging market," Operations Management Research, Springer, vol. 16(1), pages 209-226, March.
    3. Zhuoqun Li & Weiwei Fei & Ermin Zhou & Yuvraj Gajpal & Xiding Chen, 2019. "The Impact of Lead Time Uncertainty on Supply Chain Performance Considering Carbon Cost," Sustainability, MDPI, vol. 11(22), pages 1-19, November.
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