AGV Dispatch and Layout Planning for Machine Throughput
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Solution Overview
Problem
The challenge lies in determining the optimal number of AGVs for a facility to avoid excess costs and downtime, while also efficiently managing facility layout and ensuring adequate charging of AGVs.
Innovation Solution
An autonomous mobile vehicle system that includes a system control module capable of determining the finishing times of machine processes and travel times of AGVs, prioritizing requests based on finishing times and availability, and optimizing the facility layout by simulating different positions of machines and docking stations to maximize AGV utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If too many AGVs are provided in the facility, then the facility can handle all machine processes without downtime, but the cost increases and idle time of AGVs increases
Solution Approach 1:
The system performs preliminary simulation and analysis to determine the optimal number of AGVs needed before deployment. The simulation module models facility operations with different AGV counts to predict throughput and idle time, allowing planners to select the optimal configuration before actual operation begins.
Solution Approach 2:
The system continuously monitors actual facility operations and compares them against simulation predictions. This feedback loop allows the system to refine its models and adjust AGV allocation dynamically, ensuring optimal utilization while maintaining required throughput levels.
2Loss of energy
If too few AGVs are provided in the facility, then the cost is reduced, but machine downtime increases and AGV charging becomes insufficient
Solution Approach 1:
The simulation module performs preliminary analysis to determine the minimum number of AGVs required to maintain acceptable throughput levels. By modeling different scenarios, the system identifies the threshold below which machine downtime becomes excessive, allowing cost-effective deployment without sacrificing productivity.
Solution Approach 2:
The system dynamically adjusts AGV allocation based on changing facility conditions and priorities. The priority-based request management system can dynamically reassign AGVs between machines based on urgency, ensuring that critical operations maintain throughput while less urgent operations may experience controlled downtime to optimize overall system efficiency.
3Ease of manufacture
If facility layout is determined without simulation, then the setup process is simple, but AGV utilization efficiency is suboptimal
Solution Approach 1:
The simulation module performs preliminary layout optimization before actual facility configuration. By modeling different layout scenarios virtually, the system identifies configurations that maximize AGV utilization and minimize travel time, allowing planners to implement optimized layouts without complex trial-and-error physical adjustments.
Solution Approach 2:
The system creates virtual copies of the facility layout in the simulation environment. These digital twins allow planners to test and optimize layouts computationally before implementing them physically, separating the complexity of optimization from the simplicity of physical setup.
4Ease of operation
If AGVs are dispatched without priority consideration, then the dispatch process is simple, but critical machine processes may experience delays
Solution Approach 1:
The system performs preliminary priority assessment of machine requests before dispatching AGVs. By evaluating process criticality, deadlines, and queue positions in advance, the system pre-determines optimal dispatch sequences that ensure critical processes are served first, maintaining reliability without complex real-time decision-making during dispatch.
Solution Approach 2:
The priority-based dispatch system dynamically adjusts AGV allocation based on changing process priorities and machine states. The system can reassign AGVs from lower-priority to higher-priority requests as conditions change, ensuring that critical processes consistently receive timely service while maintaining overall system efficiency.
Data Source
AI summary
An autonomous mobile vehicle system includes machines at different locations within a facility processing parts, a docking station within the facility, an autonomous mobile vehicle movable within the facility between the machines and the docking station, and a system control module for guiding the autonomous mobile vehicle within the facility between the machines and the docking station. The system control module includes a system communication module communicatively coupled to the autonomous mobile vehicle. The system control module includes a system controller including one or more processors configured to control operation of the autonomous mobile vehicle.