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- Guidance for MHP FleetExecuter on AWS
Guidance for MHP FleetExecuter on AWS
Overview
This Guidance demonstrates how to optimize manufacturing and logistics material movement using MHP FleetExecuter on AWS, a software-based fleet management solution that optimizes intralogistics operations. By seamlessly integrating and controlling manufacturer-independent Automated Guided Vehicles (AGVs), Autonomous Mobile Robots (AMRs), and driverless transport systems (DTS), the solution helps manufacturers and logistic companies streamline their transport processes while maintaining vendor flexibility. Through the unique combination of artificial intelligence, cloud integration, and modularity, it enables real-time coordination of complex infrastructure components and diverse robotic fleets. This modular approach helps organizations enhance automation efficiency, reduce operational complexity, and achieve sustainable intralogistics management through intelligent optimization and comprehensive fleet control capabilities.
Benefits
Control all AGVs, AMRs, and mobile robots, from transporting to cleaning to manufacturing robots, with one software platform on AWS. FleetExecuter supports both VDA5050 and proprietary standards and is open for further standardization including Mass Robotics and ISO, enabling integration with any robot manufacturer while providing complete fleet control and eliminating vendor lock-in across your operations.
Seamlessly integrate MHP FleetExecuter running on AWS with your existing ERP, Warehouse Management, and Manufacturing Execution systems. Leverage MHP's extensive experience in connecting shopfloor fleet operations to top-floor enterprise systems across various industries, enabling real-time transport order creation and status updates between your fleet and the enterprise systems
Leverage comprehensive data analytics from day one of MHPFleetExecuter deployment on AWS to optimize yourmobile robot and AGV fleet performance. Access real-time heatmap visualization and error clustering analysis stored in Amazon Aurora PostgreSQL to identify operational patterns, reduce downtime, and continuously improve fleet efficiency while maximizing asset utilization.
How it works
These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.
Disclaimer
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.
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