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<p>Electronic waste (e-waste) poses environmental and health challenges, necessitating effective inventory management systems. This systematic literature review (SLR) explores the landscape of e-waste inventory and management using distributed systems, focusing on cloud, Internet of things (IoT), and blockchain. A total of 21 relevant research papers were selected and analyzed, considering factors, such as efficiency, scalability, security, transparency and traceability, advantages, limitations, and future work. The findings reveal that distributed systems, including cloud, IoT, and blockchain, offer promising solutions for optimizing e-waste management. These technologies enable enhanced operational efficiency, real-time monitoring, and data-driven decision-making. The SLR also identifies several future research opportunities. Transparency and traceability can be enhanced to track e-waste throughout the management process. Advanced data analytics techniques can extract insights from e-waste data, enabling informed decision-making and resource allocation strategies. While various studies touch upon specific components or subsystems, a holistic approach is needed to effectively manage e-waste on a scale. This includes addressing the gaps in scalability and integration of cloud computing and IoT technologies. Furthermore, the research should focus on ensuring transparency, traceability, and data security while also optimizing energy consumption for sustainable e-waste management. The identified challenges and future research opportunities serve as a roadmap for researchers to advance the field and optimize e-waste management processes toward a sustainable future.</p>

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Efficient e-waste inventory management through distributed systems: a systematic review of frameworks and strategies

  • 期刊论文

  • 发表日期：

    2025年10月16日

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  • Hatim Madkhali,
  • Haitham Assiri,
  • Linh Nguyen,
  • Manu Sharma,
  • Sudhanshu Joshi,
  • Ritu Chauhan,
  • Omprakash Kaiwartya,
  • Mukesh Prasad

摘要

Electronic waste (e-waste) poses environmental and health challenges, necessitating effective inventory management systems. This systematic literature review (SLR) explores the landscape of e-waste inventory and management using distributed systems, focusing on cloud, Internet of things (IoT), and blockchain. A total of 21 relevant research papers were selected and analyzed, considering factors, such as efficiency, scalability, security, transparency and traceability, advantages, limitations, and future work. The findings reveal that distributed systems, including cloud, IoT, and blockchain, offer promising solutions for optimizing e-waste management. These technologies enable enhanced operational efficiency, real-time monitoring, and data-driven decision-making. The SLR also identifies several future research opportunities. Transparency and traceability can be enhanced to track e-waste throughout the management process. Advanced data analytics techniques can extract insights from e-waste data, enabling informed decision-making and resource allocation strategies. While various studies touch upon specific components or subsystems, a holistic approach is needed to effectively manage e-waste on a scale. This includes addressing the gaps in scalability and integration of cloud computing and IoT technologies. Furthermore, the research should focus on ensuring transparency, traceability, and data security while also optimizing energy consumption for sustainable e-waste management. The identified challenges and future research opportunities serve as a roadmap for researchers to advance the field and optimize e-waste management processes toward a sustainable future.