Abstract
The increasing demand for operational efficiency, cost-effectiveness, and enhanced productivity has fueled a significant shift towards automation in material handling processes. This abstract explores the dynamic landscape of automation technologies within the realm of material handling, encompassing industries such as manufacturing, logistics, and warehousing. From the integration of robotics and artificial intelligence to the implementation of advanced sensor technologies, automation is reshaping traditional material handling methodologies. The abstract delves into the diverse applications of automation, examining how smart conveyor systems, automated guided vehicles (AGVs), and robotic arms are optimizing the movement, sorting, and storage of materials. The incorporation of real-time data analytics, machine learning algorithms, and Internet of Things (IoT) devices contributes to the development of intelligent systems that can adapt to dynamic operational environments.
Cite
CITATION STYLE
Todkar, A. S., & Awati, S. S. (2024). Automation in Material Handling system: A Review. The International Journal of Innovation in Multidisciplinary Scientific Research, 02(01), 16–23. https://doi.org/10.61239/ijimsr.2024.2112
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