Autonomous and Unmanned Factory Platform
Utilizing AI and Digital Twin Technologies

refers to a comprehensive system designed to operate factory processes without human intervention.
This platform leverages artificial intelligence (AI) to enable smart decision-making, automation, and optimization of operations.
Additionally, it incorporates digital twin technologies, which create virtual replicas of physical assets, processes, and systems.
These digital twins allow for real-time monitoring, simulation, and analysis, enhancing predictive maintenance, improving efficiency, and reducing downtime. Together, these technologies create a highly efficient, self-operating factory environment.

xMS

Vehicle Management & Control System
powered by AI

DAIM xMS is an automated material handling system solution that controls/manages fleets of logistics robots based on collaborative intelligence technology.

  • Based on collaborative intelligence technology, it is possible to maximize the efficiency of the material control system by distributing delivery orders to the logistics robots.
  • Stable automated material handling system operation is possible even with rapid changes in logistics patterns.
  • It can be applied to various types of logistics robots such as OHT, AGV, and AMR.
  • Shorten transport time
  • Increase traffic volume
  • Reduce number of robots

xDT

AMHS Emulation & Simulation Platform

DAIM xDT is a solution that can virtually simulate various material handling environments in numerous hardware infrastructures that are essential for automated material handling systems.

  • Because the robots operate based on DAIM xMS, it is possible to predict the actual performance of an automated material handling system with high accuracy.
  • Simulation can help you decide whether to introduce an automated material handling system at a low cost.
  • Having a reliable design for the automated material handling system is possible.

AID

Vehicle Predictive Maintenance Solution
powered by AI

DAIM AID is a solution that monitors the health status of logistics robots at all times to maintain the best condition.

  • Condition monitoring for individual robots is possible using AI technology.
  • We suggest a pre-check point before any abnormality occurs in the logistics robot.
  • Abnormalities in the system infrastructure as well as the logistics robot can be identified at the same time.

Advanced anomaly detection solutions that understand the operational states of logistics robots and can be applied quickly to individual sites

Control-limit based anomaly detection in the industry
  • Low anomaly detection performance
  • Unable to detect abnormalities within control limit

LAY

Layout Analyzer

DAIM LAY is an automation solution for the layout design/analysis of automated material handling systems

  • The system performance is quickly analyzed according to facilities, layout, load volume, and logistics robot specifications
  • Layouts can be easily created using CAD files.
  • Problems with the layout can be quickly identified to improve the design process.