SIASUN Mobile Robot Statistical Analysis System (Mobile Robot Statistical Analysis System)

A floor full of busy robots tells you very little; a record of what they did, and why, tells you almost everything. The SIASUN Mobile Robot Statistical Analysis System (Mobile Robot Statistical Analysis System) is the layer that turns the daily movement of an AGV/AMR fleet into something a manager can read, compare and act on.

This product is available through this page, by quotation.

Background

SIASUN and the iMRS platform

SIASUN builds mobile robots and the software that directs them. Its solutions are supported by the IMRS 2.0 platform, which covers multi-robot dispatching, route optimization, data analytics and digital twins. The aim is end-to-end intelligent control, so that customers can build efficient, flexible and sustainable smart logistics.

The iMRS platform is organized into six key sub-modules. Together they provide a complete solution across processes, scenarios and customer needs. The Statistical Analysis System, often shortened to SAS, is the sub-module that looks back over what the fleet has done and helps customers see where the operation can improve.

That role matters more as a project matures. Once robots are running and the novelty has worn off, the questions change. Teams stop asking whether the vehicles can move loads and start asking whether they are moving them as well as they could, shift after shift. SAS is there to help customers carry out long-term, rapid and intuitive analysis, find optimization opportunities across the different production stages, and keep the system running stably over time.

How the system is built

The Mobile Robot Statistical Analysis System is built on the IMRS data lake. It offers multi-dimensional data collection and visual analytics for mobile robot fleets. Rather than leaving information scattered across vehicles and controllers, it gathers real-time data on robot status, task execution and equipment health in one place.

What the user sees are dashboards and custom reports. Dashboards give a quick view of how the fleet is doing. Custom reports let each site shape the figures around its own questions, whether those concern process, equipment, tasks or energy.

Behind the screens, the system applies big-data analytics. These support decisions about route optimization, dispatching strategies and production takt. The same data also feeds predictive maintenance, which looks at health trends in the equipment and reduces the risk of unplanned downtime.

Technical Specifications

Specifications as published by the manufacturer; confirmed against the datasheet at quotation.

The manufacturer has not published the supported robot brands, the system requirements, the deployment model, the data refresh rate, the interfaces and APIs, the software version, the supported languages or the licensing model; they are confirmed at quotation.

What does the Statistical Analysis System do that a dispatching system does not?

A dispatching or transport control system is concerned with the present moment. It decides which vehicle takes which task and which route it follows. Its job is to keep work flowing right now.

The Statistical Analysis System works on a different timescale. It consolidates what has happened and presents it so that people can judge how the operation is performing over time. In that sense it is a reading room, not a control room. The evidence it gathers on robot status, task execution and equipment health is what lets a team ask better questions about the dispatching itself.

The two work together. The analysis supports decisions on route optimization, dispatching strategies and production takt, so what is learned in the reports can feed back into how the fleet is directed. For sites that want the control side as well, the SIASUN Mobile Robot Transport Control System is the related product on this store.

How does predictive maintenance help a robot fleet?

Unplanned stops are costly in any operation that depends on continuous transport. A vehicle that fails in the middle of a shift can delay the lines it serves. Planned servicing is far easier to absorb than a surprise.

The system looks at equipment health data and predicts health trends. By spotting those trends early, it reduces downtime. Maintenance teams can then plan their work around what the data shows, not only around fixed intervals or after a fault has already occurred.

Energy metrics sit alongside the equipment figures in the report dimensions. Having process, equipment, task and energy views together allows a maintenance planner and an operations manager to look at the same fleet through the same tool, which makes conversations about priorities more concrete.

Who is the SIASUN Mobile Robot Statistical Analysis System for?

The system is intended for AGV/AMR fleets. Its natural buyers are the people who are accountable for how those fleets perform once they are running.

• Operations and plant managers who need dashboards and reports they can trust when reviewing shifts, lines and production takt.
• Logistics and warehouse teams who want to compare routes and dispatching strategies using real fleet data.
• Maintenance and reliability engineers who want health trends and earlier warning of equipment problems.
• Continuous improvement and energy leads who look for optimization opportunities across production stages.

If your interest is first in building a virtual model of the operation, the SIASUN Mobile Robot Digital Twin System is another part of the same family of solutions. If you are still selecting the vehicles themselves, our Mobile Robots category and the wider Factory Robots category show what is available.

What is the SIASUN Mobile Robot Statistical Analysis System used for?

1. Fleet monitoring: follow robot status, task execution and equipment health in real time through dashboards.
2. Custom reporting: build reports around process, equipment, task and energy metrics to suit each site.
3. Route optimization: use big-data analytics to review and improve the paths vehicles take.
4. Dispatching strategy review: compare how tasks are assigned and refine the strategy over time.
5. Production takt improvement: identify optimization opportunities across the stages of production.
6. Predictive maintenance: track health trends to reduce the risk of unplanned downtime.

Pricing and Availability

This product is sold by quotation, and we do not print prices on the page. Tell us about your fleet and what you want to measure, and we will prepare a quotation around it. Delivery, customs and support are arranged with the quotation. The Statistical Analysis System is available on this page.

Frequently Asked Questions

What is the SIASUN Mobile Robot Statistical Analysis System?

It is a data analysis system built on the IMRS data lake. It offers multi-dimensional data collection and visual analytics for mobile robot fleets.

What data does it bring together?

It consolidates real-time data on robot status, task execution and equipment health. The information is presented through dashboards and custom reports.

Which metrics can the reports cover?

Reports can cover process, equipment, task and energy metrics. They can be customized to the needs of each site.

Does it support predictive maintenance?

Yes. The system predicts health trends and reduces downtime, lowering the risk of unplanned stops.

Is it part of a larger platform?

Yes. It is part of the iMRS platform, which has six key sub-modules. SIASUN's solutions are supported by the IMRS 2.0 platform.

Which robots and systems does it work with?

It is intended for AGV/AMR fleets. Questions about your particular vehicles and software environment can be raised when you request a quotation.

Where can I buy the SIASUN Mobile Robot Statistical Analysis System and what does it cost?

You can request it through this page. The cost is given in a quotation prepared for your project, so no price is shown here.

Summary

A fleet that moves without being measured leaves its owners guessing. The SIASUN Mobile Robot Statistical Analysis System addresses this by gathering real-time status, task and equipment data on the IMRS data lake and presenting it in dashboards and custom reports. Its analytics support decisions on routes, dispatching and production takt, and its predictive maintenance reduces the risk of unplanned downtime. If you want your AGV/AMR fleet to explain itself, this page is the starting point.