This technical paper presents the design and development of a state-of-the-art Material Handling Equipment (MHE) system for efficient inventory management in industrial settings. The MHE system is designed using a comprehensive approach, encompassing ergonomic considerations and IoT-based automation. The initial stages of the MHE design involve iterative brainstorming sessions to create a rough sketch, followed by data collection to determine dimensions and ergonomic requirements. Ergonomic standards, including clearances and worker-friendly design, are adhered to throughout the design process. The study also explores into the integration of IoT technology into the MHE system. IoT components, including sensors, microcontrollers, and Wi-Fi modules, are employed to automate various tasks. An IR sensor detects the presence of items on the conveyor belt, initiating its motion. Load cells beneath bins collect weight data, which is transmitted for real-time inventory tracking and the system is driven by an Arduino microcontroller. In conclusion, this paper presents a holistic approach to designing and integrating an IoT-enabled MHE system for industrial inventory management. The resulting system enhances efficiency, accuracy, and ease of use, making it a valuable asset for modern industrial operations.

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Design and Development of an IoT-Enabled Ergonomic Material Handling Equipment for Effective Inventory Management

  • M. Rajesh,
  • Arpitha,
  • Kruthi,
  • Sanskruti,
  • Trisha Nair

摘要

This technical paper presents the design and development of a state-of-the-art Material Handling Equipment (MHE) system for efficient inventory management in industrial settings. The MHE system is designed using a comprehensive approach, encompassing ergonomic considerations and IoT-based automation. The initial stages of the MHE design involve iterative brainstorming sessions to create a rough sketch, followed by data collection to determine dimensions and ergonomic requirements. Ergonomic standards, including clearances and worker-friendly design, are adhered to throughout the design process. The study also explores into the integration of IoT technology into the MHE system. IoT components, including sensors, microcontrollers, and Wi-Fi modules, are employed to automate various tasks. An IR sensor detects the presence of items on the conveyor belt, initiating its motion. Load cells beneath bins collect weight data, which is transmitted for real-time inventory tracking and the system is driven by an Arduino microcontroller. In conclusion, this paper presents a holistic approach to designing and integrating an IoT-enabled MHE system for industrial inventory management. The resulting system enhances efficiency, accuracy, and ease of use, making it a valuable asset for modern industrial operations.