Sensor Layout Simulation for Pallet Routing Bottlenecks
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Solution Overview
Problem
Identifying a sensor layout in a manufacturing environment that efficiently detects pallets while satisfying time and performance-based constraints is a resource-intensive and tedious process, leading to bottlenecks in manufacturing routines.
Innovation Solution
A method and system using a digital twin and reinforcement learning to simulate and iteratively adjust a sensor layout based on pallet and workstation parameters, optimizing sensor placement to minimize transient and steady-state production values, thereby reducing bottlenecks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sensors are deployed throughout the manufacturing environment to detect pallets and enable dynamic adjustment of manufacturing routines, then bottleneck remediation capability is improved, but the complexity of identifying an optimal sensor layout increases significantly
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the manufacturing environment including pallets, workstations, and routing control locations. This digital twin is used to simulate and evaluate sensor layouts before physical deployment, eliminating the need for resource-intensive trial-and-error in the actual manufacturing environment while still achieving optimal bottleneck remediation capability
Solution Approach 2:
The system performs preliminary simulation and evaluation of sensor layouts in the digital twin environment before finalizing the sensor deployment. By calculating transient and steady-state production values for different sensor configurations in advance, the optimal layout is identified beforehand, avoiding complexity and disruption during actual manufacturing operations
2Measurement precision
If multiple sensors are deployed to accurately detect pallets at routing control locations, then pallet detection accuracy is improved, but the resource intensity and tedium of the deployment process increases
Solution Approach 1:
The digital twin replicates the entire manufacturing environment and sensor detection logic, allowing virtual testing of sensor layouts to achieve accurate pallet detection without the time-consuming process of physically deploying and testing each sensor configuration in the real environment
Solution Approach 2:
The system automatically calculates transient and steady-state production values and evaluates sensor layout effectiveness through simulation, eliminating the need for manual, tedious assessment of each sensor configuration. The digital twin self-evaluates different layouts and identifies the optimal configuration without human intervention
3Productivity
If sensor layout is optimized to reduce bottlenecks in pallet merging and splitting operations, then manufacturing throughput is improved, but the computational resources required for optimization increase
Solution Approach 1:
The patent extracts the computationally intensive optimization process from the physical manufacturing environment and relocates it to the digital twin simulation environment. This allows complex calculations of transient and steady-state production values to be performed virtually, reducing the computational burden on the actual manufacturing control systems while still achieving throughput optimization
Data Source
AI summary
A method includes defining a sensor layout of a digital twin based on sensor parameters and routing control locations of the digital twin. The method includes simulating a manufacturing routine of a plurality of pallets and a plurality of workstations based on one or more pallet parameters associated with the plurality of pallets and one or more workstation parameters associated with the plurality of workstations and calculating, for each routing control location from among the one or more routing control locations, a transient production value and a steady state production value based on the manufacturing routine. The method includes iteratively adjusting the sensor layout of the digital twin until each transient production value is less than or equal to a threshold transient production value and each steady state production value is less than or equal to a threshold steady state production value.