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

Most of the settings that govern a mobile robot fleet are chosen during commissioning: the routes, the dispatching rules and the pace at which material reaches each station. They are then often left untouched long after the plant around them has changed. New product lines arrive, volumes shift and a once-quiet aisle becomes a bottleneck, yet the fleet keeps following the logic it was given on its first day. The SIASUN Mobile Robot Statistical Analysis System (Mobile Robot Statistical Analysis System) exists to close that gap. It gathers what an AGV/AMR fleet actually does over time and presents it so that engineers can revisit those early decisions with evidence rather than instinct. It is software rather than hardware, designed for the long life of a project rather than for its opening weeks.

Robots Middle East sells and supplies the SIASUN Mobile Robot Statistical Analysis System to manufacturers, logistics operators and system integrators across the Middle East. Our team prepares each quotation around the customer's fleet and platform set-up, arranges delivery and provides support after handover. This means the analytics layer is scoped together with the robots and the control platform it is intended to serve, rather than added as an afterthought.

Background

SIASUN's platform approach to mobile robotics

SIASUN supports its mobile robot solutions with the IMRS 2.0 platform. The platform brings multi-robot dispatching, route optimisation, data analytics and digital twins together for end-to-end intelligent control, helping customers build efficient, flexible and sustainable smart logistics. The iMRS platform encompasses six key sub-modules that together provide an end-to-end solution across all processes, scenarios and customer needs. The underlying idea is that a fleet should be managed as one coordinated system, not as a collection of individual vehicles.

Within that structure, the Statistical Analysis System, abbreviated to SAS, is the analytical element. Other parts of the platform are concerned with how robots move and are assigned work at any given moment. SAS looks across longer periods. As a project progresses, it helps customers carry out long-term, rapid and intuitive analysis, so that optimisation opportunities can be found across the various production stages and the system continues to operate stably over time.

Built on the IMRS data lake

The system is built on the IMRS data lake. In general terms, a data lake is a central repository that holds large volumes of operational data from many sources, so that it can be queried and compared later rather than discarded once it has served its immediate purpose. On this foundation, SAS provides multi-dimensional data collection and visual analytics for mobile robot fleets.

Three streams of real-time information are consolidated: robot status, task execution and equipment health. These are presented through dashboards for day-to-day oversight and through custom reports for deeper review. Reporting covers four dimensions: process, equipment, task and energy metrics. Big-data analytics are then applied to support decisions on routes, dispatching strategies and production takt, while predictive maintenance uses health trends to reduce the risk of unplanned downtime.

Technical Specifications

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

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

How does a statistical analysis system differ from fleet dispatching software?

Dispatching and analysis answer different questions on different timescales. A dispatching function decides, moment by moment, which robot takes which task and by which route. It is judged by how smoothly the fleet runs today. A statistical analysis system is judged by whether the fleet runs better next quarter than it did last quarter.

The SIASUN Statistical Analysis System sits on the second side of that divide. It consolidates task execution, robot status and equipment health into a record that can be examined across weeks and months. Its reports span process, equipment, task and energy metrics. That combination allows a question such as "why did throughput fall on this line?" to be traced to its likely cause. The cause might be a congested route, a dispatching rule that no longer suits the order mix, or a vehicle whose health is degrading. The findings then feed back into route optimisation, dispatching strategies and production takt, the very areas the system's big-data analytics are built to support.

In practice, the two are complementary rather than alternatives. Within the IMRS 2.0 platform, dispatching, route optimisation, data analytics and digital twins work as parts of a single intelligent control environment.

Can the system help prevent unplanned downtime?

Predictive maintenance is built into the system. Because equipment health is among the data streams it consolidates, the system predicts health trends and highlights where attention is needed before a fault halts a vehicle. The purpose is plain: to reduce the risk of unplanned downtime.

For a mobile robot fleet, this matters more than it might for a single machine. When one vehicle stops unexpectedly, its tasks must be absorbed by the others, routes become busier and the effect can ripple through every station the fleet serves. Scheduling maintenance around predicted trends, rather than reacting to breakdowns, allows a maintenance team to plan interventions for quieter periods. The equipment dimension of the reports also gives managers a basis for comparing the condition of vehicles across the fleet.

Who is the SIASUN Mobile Robot Statistical Analysis System for?

The system is aimed at organisations that already operate, or are planning, an AGV/AMR fleet and want to manage it on measured performance. Operations and plant managers will find value in dashboards that summarise robot status and task execution without requiring them to interrogate individual vehicles. Continuous-improvement and industrial engineers are likely to use the custom reports to test whether a change in routes, dispatching or takt has had the intended effect. Maintenance teams gain a view of equipment health and its trends. The energy dimension of the reporting gives facilities and sustainability staff a basis for reviewing consumption across the fleet.

System integrators delivering mobile robot projects in the region may also include SAS as part of a wider platform scope, particularly where a client expects to keep refining the installation after go-live.

Buyers whose immediate priority is the real-time movement and assignment of vehicles may wish to review the SIASUN Mobile Robot Transport Control System (Mobile Robot Transport Control System) alongside this product. Those interested in virtual models of their operation can consult the SIASUN Mobile Robot Digital Twin System (Mobile Robot Digital Twin System). The vehicles themselves are presented in our Mobile Robots and Factory Robots categories. Robots Middle East can advise on how these elements fit together for a given project.

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

1. Route optimisation: identifying congested or inefficient paths from accumulated fleet data so that routes can be revised.
2. Dispatching strategy review: assessing whether task-assignment rules still suit current volumes and order patterns.
3. Production takt improvement: relating material delivery performance to the pace of the production stages the fleet serves.
4. Predictive maintenance: tracking equipment health trends to plan interventions and reduce unplanned downtime.
5. Energy monitoring: reviewing energy metrics across the fleet as part of operational and sustainability reporting.
6. Management reporting: presenting process, equipment and task performance through dashboards and custom reports.

Pricing and Availability

The SIASUN Mobile Robot Statistical Analysis System is supplied on a quotation basis, because the scope of an analytics deployment depends on the fleet, the platform configuration and the reporting the customer requires. Robots Middle East reviews each enquiry, discusses the fleet and reporting needs with the customer and prepares a proposal for the specific project. Delivery, customs and support are arranged with the quotation. To begin, please submit your requirements through the quotation request available on this page.

Frequently Asked Questions

What does the SIASUN Mobile Robot Statistical Analysis System do?

It collects and analyses data from mobile robot fleets, consolidating real-time robot status, task execution and equipment health. It presents this through dashboards and custom reports. The analytics support decisions on routes, dispatching strategies and production takt, as well as predictive maintenance.

Which fleets is it intended for?

The system delivers analytics for AGV/AMR fleets. Robots Middle East reviews your fleet with you when preparing the proposal.

What kinds of reports does it provide?

Reports cover four dimensions: process, equipment, task and energy metrics. They are available as dashboards and as custom reports.

Does the system support predictive maintenance?

Yes. It predicts health trends in the equipment it monitors, with the aim of reducing unplanned downtime.

How does it relate to the IMRS 2.0 platform?

The system is built on the IMRS data lake and serves as the analytics element of SIASUN's platform. The platform also covers multi-robot dispatching, route optimisation and digital twins.

Can it help improve production takt?

Yes. Its big-data analytics support improvement of production takt alongside the optimisation of routes and dispatching strategies, helping identify optimisation opportunities across the various production stages.

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

Robots Middle East supplies the system across the Middle East. Pricing depends on the scope of each project and is provided in a tailored quotation, which you can request on this page.

Summary

A mobile robot fleet is rarely configured badly at the start; it is more often left unrevised while the operation around it moves on. The SIASUN Statistical Analysis System addresses that drift. Built on the IMRS data lake, it consolidates robot status, task execution and equipment health, reports on process, equipment, task and energy metrics, and applies big-data analytics to routes, dispatching strategies, production takt and predictive maintenance. For organisations that intend to keep improving their AGV/AMR operation long after commissioning, Robots Middle East can scope, supply and support the system across the region, and this page is the starting point.