Robotic Mounted Rail Arm System for implementing effective workplace safety for migrant workers

Area of Science:

• Industrial Engineering
• Robotics
• Automation Systems

Background:

• Kitting is a crucial process for assembling final products by gathering parts from storage.
• Flexible robotic systems and advancements in AI are improving kitting operations.
• Robotics and AI can handle a wide range of components, overcoming previous limitations.

Purpose of the Study:

• To evaluate the efficiency of a robotic kitting system using a Robotic Mounted Rail Arm System (RMRAS).
• To model elementary kitting operations to assess cycle times and performance.

Main Methods:

• Implementation of a Robotic Mounted Rail Arm System (RMRAS) for element selection.
• Modeling of kitting operations including pick and room, movement, and tool changes.
• Comparative analysis of the proposed method against existing kitting strategies.

Main Results:

• The robotic kitting system demonstrated enhanced performance and efficiency.
• The proposed method achieved a superior efficiency ratio compared to traditional methods.
• Cycle times were effectively evaluated through the modeling of robotic operations.

Conclusions:

• The study provides a framework for manufacturers to assess robotic kitting system performance.
• Results aid in optimizing robotic area design, including layout and picking policies.
• This research contributes to the ongoing automation of kitting operations.