Reconfigurable Robotic Cells With Tool Switching to Cut Bottlenecks
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Solution Overview
Problem
Conventional robotic manufacturing processes lack flexibility and efficiency, as they are often linear and require multiple cells to handle specific tasks, leading to increased footprint usage, buffering requirements, and higher failure occurrences, especially in low-medium volume production with varying configurations.
Innovation Solution
The implementation of reconfigurable robotic manufacturing cells that can select and switch between different sets of end effectors based on real-time data from sensors and a manufacturing execution system, allowing cells to adapt to different manufacturing steps and handle multiple tasks independently, reducing the need for multiple cells and minimizing bottlenecks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional linear robotic manufacturing processes use multiple cells to handle specific tasks, then task specialization is achieved, but footprint usage increases
Solution Approach 1:
Each robotic cell is equipped with multiple interchangeable end effectors that can be selected based on the specific manufacturing task. The system can dynamically reconfigure which end effector is active, allowing a single cell to perform multiple different functions (grasping, welding, painting, etc.) rather than requiring separate specialized cells for each function.
Solution Approach 2:
The robotic manufacturing system implements dynamic reconfiguration of end effectors based on real-time production demands. The manufacturing execution system monitors task requirements and dynamically selects appropriate end effectors for each cell, allowing the system to adapt its capabilities rather than being fixed in a linear configuration.
2Productivity
If multiple robotic cells are deployed for specific tasks, then manufacturing capability is increased, but buffering requirements increase
Solution Approach 1:
The system proactively reconfigures robotic cells before bottlenecks occur by predicting production demands and pre-positioning appropriate end effectors. The manufacturing execution system analyzes upcoming tasks and ensures cells are configured optimally in advance, preventing the need for buffering to compensate for reconfiguration delays.
Solution Approach 2:
The dynamic reconfiguration system maintains continuous production flow by minimizing idle time during end effector changes. Multiple end effectors are kept ready, and the system seamlessly switches between them without halting the manufacturing process, eliminating the need for buffers to absorb disruptions.
3Productivity
If conventional robotic cells are configured for specific manufacturing steps, then process efficiency is optimized, but flexibility to handle varying configurations decreases
Solution Approach 1:
Each robotic cell maintains a library of multiple end effectors suitable for different manufacturing operations. The system can select from grasping tools, welding torches, painting guns, and other specialized effectors based on the specific task requirements, allowing a single cell to efficiently perform multiple different functions with tool-specific optimization.
Solution Approach 2:
The system dynamically changes operational parameters including which end effector is active, the robotic cell's motion parameters, and the manufacturing sequence based on real-time demands. This allows the system to optimize for each specific task while maintaining the ability to adapt to varying production configurations and product varieties.
Data Source
AI summary
A manufacturing process adopting the reconfigurable robotic manufacturing cells that can work conjointly and yet have the capabilities to be reconfigured to disconnect from other cells and handle multiple tasks. The reconfigurable robotic cell is not dependent on any other robotic cells to complete work in progress.