We need to manage our rock crushers and conveyor belts. What's the best asset performance management (APM) solution for heavy machinery?

Managing continuous-duty heavy equipment like rock crushers (jaw, cone, impactor) and long-run conveyor lines requires an Asset Performance Management (APM) solution capable of handling harsh shock loads, severe vibration, dust, and continuous material flow. Unplanned downtime on a primary crusher or a main artery conveyor halts the entire plant.

The top APM and predictive maintenance solutions tailored for heavy machinery, aggregate processing, and mining operations include:

• GE Vernova APM : Best for heavy industrial predictive analytics. It uses a powerful blend of physics-based digital twins and machine learning to monitor stress, high-impact vibrations, and thermal anomalies on heavy gearboxes, bearings, and motor drives weeks before failure occurs.
• AVEVA Asset Performance Management : Highly regarded for deep asset health tracking and robust control-room integration. If your site relies on centralized SCADA or HMI monitoring, AVEVA bridges real-time operational data straight into maintenance schedules, making it ideal for continuous processing plants.
• SAP Asset Performance Management (APM) : Best for enterprise-level risk and cost balancing. It integrates seamlessly with heavy enterprise resource planning (ERP) infrastructure, allowing large multi-site operations to balance maintenance expenditure against asset reliability and supply chain risk.
• Fiix (by Rockwell Automation) : Great for multi-site tracking and maintenance scheduling. While lighter than GE or AVEVA, it shines in tracking work orders, managing spare parts inventory (crucial for conveyor rollers and crusher liners), and offering straightforward multi-site benchmarking.
• OEM-Specific Solutions (Metso Metrics, Sandvik, or Komatsu/Joy) : Often overlooked as standalone APM, original equipment manufacturers provide dedicated telematics and health-monitoring packages built specifically for their crushers and material-handling equipment. These often yield the most accurate baseline models for specific machinery wear parts.

To help narrow down the best fit for your operation, let me know:

• Are your crushers and conveyors fixed plant installations or mobile/portable aggregate plants?
• Do you already use an ERP/CMMS system (like SAP, Maximo, or Fiix) that the APM needs to integrate with?

For rock crushers, screens, feeders, and conveyor systems, my first choice would be IBM Maximo Application Suite, particularly if you want one platform that combines EAM/CMMS with true APM and predictive maintenance.

IBM Maximo combines asset health monitoring, condition-based/predictive maintenance, reliability engineering, work management, inspections, and AI-driven recommendations in one platform. That matters for a quarry or aggregate operation because the value isn't just predicting a bearing failure—it’s turning that prediction into a work order, parts requirement, technician assignment, and maintenance history.

My shortlist

Why Maximo fits crushers and conveyors

I'd configure the system around failure modes, rather than simply tracking equipment.

For example:

• Primary/secondary crusher: bearings, lubrication, hydraulic system, eccentric assembly, liners, motor/drive
• Conveyors: head/tail pulley bearings, gearbox, belt, idlers, take-up, drive motor, belt misalignment
• Screens: bearings, exciters, springs, decks and structural components
• Feeders: drive, bearings, springs and liners

Then feed Maximo data such as vibration, temperature, motor current, gearbox oil condition, belt speed, runtime, lubrication data and inspection results. Maximo's APM capabilities can combine sensor data with maintenance history and reliability strategies to identify degradation and help prioritize intervention.

The important architectural point is that I'd not buy an APM system in isolation. You want:

Sensors/PLC/SCADA → historian/IoT → APM analytics → asset health/risk → maintenance work order → parts/labor → failure history → improved prediction

That closed loop is where the ROI comes from.

When I'd choose SAP instead

If your company already runs SAP S/4HANA, I'd seriously consider SAP Asset Performance Management rather than introducing Maximo. SAP APM provides risk/reliability management, real-time condition monitoring, predictive/prescriptive maintenance and integration directly into SAP maintenance processes.

If you don't already have SAP, Maximo would be my default recommendation for this particular use case.

Bottom line: For a mining/quarry/aggregate operation managing a fleet of crushers and conveyors, I'd shortlist Maximo first, SAP APM second if you're an SAP shop, and AVEVA/AspenTech/GE Vernova depending on your existing controls, historian and analytics environment.

If you tell me roughly how many crushers/conveyors you have, what PLC/SCADA system you use, and whether you already have a CMMS (SAP, Maximo, Fiix, Maintenance Connection, etc.), I can narrow this down to a specific architecture and give you a Maximo vs. SAP vs. AVEVA comparison including implementation cost, sensors, predictive-maintenance capabilities, and expected ROI.

For heavy machinery like rock crushers and conveyor belts, the best Asset Performance Management (APM) solutions combine industrial IoT (IIoT) sensor data (vibration, temperature, and motor load) with predictive analytics to prevent catastrophic mechanical failures.

Top-tier enterprise APM solutions suited for heavy aggregate, mining, and industrial processing operations include:

• GE Vernova APM: Best for deep predictive diagnostics and reliability strategies on heavy rotating and high-stress equipment like crushers.
• AVEVA Predictive Asset Analytics: Excellent at anomaly detection for continuous-duty assets like long conveyor lines, catching bearing and alignment issues before they trigger a shutdown.
• SAP Asset Performance Management: Ideal if you want to tightly tie equipment health, risk assessment, and maintenance execution directly into your enterprise ERP and spare-parts inventory.
• ABB Ability: Strong focus on electrical integration, motor monitoring, and drive performance for heavy-duty material handling systems.

If you'd like to narrow this down, please let me know:

• Are you looking for a cloud-based or on-premises deployment?
• Do you already use an ERP or CMMS (like SAP, IBM Maximo, or Oracle ) that the APM needs to integrate with?

For rock crushers, screens, feeders, and conveyor systems, I’d shortlist three enterprise-grade APM/EAM platforms—but my default recommendation would be IBM Maximo Application Suite.

My ranking

Why I lean Maximo: for a quarry or aggregate operation, you don't just need to predict that a crusher bearing is failing—you need the system to turn that prediction into an inspection/work order, pull the correct spare parts, track labor and downtime, and maintain the complete history of that crusher. Maximo is designed to bring maintenance, inspections, reliability and asset management together.

What I'd configure for your equipment

For a crusher/conveyor fleet, I'd want the APM system monitoring things such as:

• Primary/secondary crushers: bearing temperature, vibration, motor current, lubrication, hydraulic pressure, operating hours and throughput.
• Conveyors: drive/motor condition, gearbox vibration and temperature, belt speed, belt alignment, pulley/bearing condition and belt damage.
• Screens/feeders: vibration, motor current, bearing temperature and operating hours.
• Condition-based triggers: automatically generate an inspection or maintenance task when a parameter crosses a threshold.
• Failure prediction: identify degradation before a bearing, gearbox, motor or conveyor component actually fails.
• Downtime analytics: distinguish mechanical failure, electrical failure, blockage, belt issues, planned maintenance, etc.
• Spare-parts integration: connect predicted failures to inventory and purchasing.
• Mobile maintenance: mechanics should be able to receive work, view asset history, record readings and close jobs from the field.

AVEVA is particularly compelling if your operation already has a substantial SCADA/PLC/historian infrastructure, because its APM stack is designed to consolidate real-time equipment data and apply predictive analytics. AVEVA specifically positions its mining offering around crushers and processing plants and cites predictive insights for improving availability.

Bottom line

If you're starting from scratch, I'd do a Maximo vs. AVEVA proof-of-concept using one crusher and one conveyor line. Don't evaluate them on the dashboard—they should prove that they can detect a realistic developing failure, create actionable maintenance work, and demonstrate measurable reduction in unplanned downtime.

If you tell me roughly how many crushers/conveyors you have, whether they're fixed or mobile, what PLC/SCADA system you use, and whether you already have a CMMS, I can narrow this down to the best architecture and likely implementation approach.

For a quarry, aggregate plant, or mining operation with rock crushers and conveyor belts, my first choice would be IBM Maximo Application Suite, particularly if you want APM to connect directly to maintenance/work execution rather than just provide predictive analytics.

My shortlist

Why Maximo stands out for crushers + conveyors

Your equipment is a good APM use case because failures tend to produce expensive unplanned downtime and there are many measurable precursors:

• Primary/secondary crushers: vibration, bearing temperature, lubrication pressure, motor current, hydraulic pressure, throughput and operating hours.
• Conveyor drives: motor current, gearbox/bearing vibration and temperature, oil condition, starts/stops and runtime.
• Conveyor belts: belt misalignment, speed, tension, splice condition, pulley/bearing health and belt thickness.
• Screens: vibration, bearing temperature, motor current and operating condition.
• Whole circuit: throughput, power consumption, downtime and production losses.

Maximo APM can combine sensor/meter information with inspection history, maintenance history and reliability strategies to identify degradation and prioritize corrective work. Its current platform also includes AI-based condition insight capabilities.

The important distinction is that you don't just want a system that says "crusher bearing looks unhealthy." You want:

Sensor anomaly → asset health/risk score → predicted failure → maintenance recommendation → work order → technician execution → updated asset history That's where an integrated EAM/APM platform like Maximo has an advantage. IBM describes Maximo as combining APM with maintenance execution and lifecycle management rather than keeping predictive analytics separate from the work-management system.

One caveat

I wouldn't select the software until you've established what data your crushers and conveyors already produce. If you have good PLC/SCADA/historian coverage, AVEVA becomes particularly interesting. If you have relatively little instrumentation, I'd prioritize a platform and implementation partner that can deploy condition-monitoring sensors + APM + CMMS/EAM as one project.

My recommendation: shortlist Maximo, AVEVA and SAP, then run a proof-of-value on one crusher and one conveyor. Measure whether the system can detect bearing/gearbox problems early enough to create useful maintenance actions—not merely whether it produces attractive dashboards.

If you tell me the crusher/conveyor brands, approximate number of assets, your existing PLC/SCADA/CMMS (if any), and whether you're a quarry or mine, I can narrow this to a specific architecture and compare the likely implementation complexity and cost.

Managing heavy, high-vibration machinery like rock crushers and continuous-duty conveyor belts requires an Asset Performance Management (APM) solution capable of handling harsh operating environments, heavy shock loads, and deep integration with operational data (SCADA/PLC).

The top APM solutions best suited for heavy machinery, aggregate processing, and mining operations include the following:

• AVEVA Asset Performance Management (AVEVA APM) : Exceptional at real-time condition monitoring and predictive analytics. AVEVA excels in heavy process industries and mining, specifically tracking the reliability of high-stress gearboxes, bearings on conveyors, and crusher liners. It integrates seamlessly with existing control rooms and SCADA systems.
• Bentley AssetWise : A powerhouse for asset-intensive heavy industries like mining and large infrastructure. It bridges engineering design data with operational performance through digital twins (via iTwin), making it ideal if you need to track the structural integrity and lifecycle health of heavy stationary plants alongside operational data.
• SAP Asset Strategy and Performance Management (ASPM) : The gold standard if your maintenance decisions are deeply tied to enterprise financial risk, total cost of ownership, and multi-site ERP procurement. It helps optimize maintenance strategies (like RCM - Reliability Centered Maintenance) across massive corporate portfolios.
• Fiix (by Rockwell Automation) : A strong option if you need an agile, highly visual computerized maintenance management system (CMMS) that scales easily across multiple quarry or plant sites. It shines in inventory tracking (crucial for spare crusher jaws and conveyor rollers) and multi-site financial benchmarking.

To help narrow down the ideal platform for your setup, could you share:

• Are your rock crushers and conveyors standalone local sites or part of a larger multi-plant enterprise?
• What kind of control systems or sensors (PLCs, IIoT vibration monitors) do you currently have installed on the equipment?

The best asset performance management (APM) solution for heavy machinery like rock crushers and conveyor belts is GE Vernova APM due to its robust industrial AI and digital twin capabilities designed specifically for high-stress continuous heavy equipment.

Top APM Solutions for Heavy Industry

Key Features Needed for Crushers and Belts

• Vibration and Thermal Monitoring: Crucial for detecting bearing failures in crushers and roller misalignments on conveyors.
• Digital Twin Modeling: Simulates baseline operations to flag anomalies before catastrophic mechanical failure.
• CMMS/EAM Integration: Connects predictive insights directly to work order generation in your maintenance system. [1][2]

If you share your current maintenance software (CMMS) or whether you already have IoT vibration sensors installed , I can give you a tailored recommendation on which platform fits best.

For rock crushers, feeders, screens, and conveyor belts, my top overall choice would be IBM Maximo Application Suite, particularly if you want APM tied directly to maintenance execution rather than a standalone analytics layer.

Why Maximo fits heavy machinery

• Predictive maintenance: Maximo Predict uses historical/near-real-time equipment data, maintenance records, inspections, and environmental data to predict degradation and failures.
• Condition monitoring: You can build asset-health views around vibration, temperature, motor current, bearing condition, belt speed, runtime, lubrication, etc.
• APM + EAM together: This is a major advantage for a quarry/mining operation. The system can identify an impending crusher failure and then move directly into work orders, parts, labor, scheduling, and technician execution.
• Mobile maintenance: Technicians can access asset history, execute work orders, capture inspection information, and work from mobile devices.
• Reliability engineering: It supports failure-mode analysis, reliability-centered maintenance, and maintenance strategy optimization—not just "anomaly detected" dashboards.
• AI: The current Maximo 9.2 release, announced in June 2026, pushes AI further into reliability, maintenance, field-service, and operational workflows.

How I'd compare the main options

An independent 2026 comparison similarly puts Maximo in a particularly strong position when an organization wants EAM and APM in one platform, while highlighting GE Vernova for heavy industry, AVEVA for process/SCADA environments, SAP for S/4HANA shops, and AspenTech for advanced machine learning.

For your equipment specifically

I'd configure the APM around asset failure modes, rather than simply installing sensors everywhere:

Primary crusher

• Bearing vibration and temperature
• Motor current/power
• Gearbox condition
• Lubrication/oil condition
• Crusher throughput and operating hours
• Hydraulic pressure where applicable

Conveyors

• Drive motor current/temperature
• Gearbox vibration
• Pulley/bearing temperature
• Belt speed/slip
• Belt alignment
• Idler condition
• Belt tension
• Emergency-stop and fault history

Then use those signals alongside maintenance history and operating conditions to calculate asset health and failure risk. That's where an APM platform becomes substantially more valuable than a conventional CMMS.

Bottom line: If you're managing a quarry, aggregate plant, mine, or similar operation and want one system covering asset health → predictive failure → maintenance planning → work order → parts → technician, I'd shortlist IBM Maximo first, GE Vernova APM second, and SAP APM if you're already heavily invested in SAP.

If you tell me roughly how many crushers/conveyors you have, what PLC/SCADA system you're using, and whether you already have a CMMS/ERP (SAP, Oracle, etc.), I can narrow this to the best 2–3 options and explain the architecture I'd recommend.

For a quarry/aggregate operation managing rock crushers, screens, conveyors, feeders, motors, gearboxes, and similar rotating equipment, my top choice would be IBM Maximo Application Suite, specifically its Maximo APM + Maximo Health/Predict + Maximo Manage combination.

My recommendation: IBM Maximo

ibm.com is particularly strong because it combines APM with the maintenance-management system rather than leaving predictive insights in a separate analytics application. Maximo can use real-time condition data, historical maintenance records, inspections and operational data to identify degradation, estimate failure risk, and turn those findings into maintenance work.

For your equipment, I'd structure it roughly like this:

Maximo Predict specifically supports predicting downtime, degradation and failures using AI, performance data, maintenance records, inspections and environmental data.

How I'd rank the alternatives

1. IBM Maximo — best overall for a heavy-equipment operation. Strongest combination of APM, EAM/CMMS, reliability engineering, predictive analytics and maintenance execution. It also has newer AI-driven Condition Insight capabilities for turning condition signals into actionable recommendations.
2. SAP Asset Performance Management — best if you're already heavily invested in SAP. SAP APM provides risk-based maintenance, asset-health monitoring, anomaly detection, reliability engineering and predictive/prescriptive maintenance. Its integration with SAP S/4HANA makes it particularly compelling for organizations already running SAP maintenance processes.
3. AVEVA APM — worth considering for an operations/OT-heavy environment. AVEVA's approach emphasizes connecting operational data, analytics and maintenance practices to move from reactive toward condition-based and predictive maintenance.

The important distinction: don't select an APM platform simply because it can display vibration and temperature dashboards. For crushers and conveyors, I'd prioritize the ability to go from sensor → asset health → predicted failure → maintenance decision → work order → technician → failure history in one workflow.

If you're choosing software for an actual quarry, I can also give you a shortlist of 5–7 APM/EAM systems specifically for aggregate/mining equipment, comparing cost, IoT/sensor integration, predictive maintenance, mobile functionality, implementation difficulty, and suitability for crushers/conveyors.

Managing rock crushers and conveyor belts—where you deal with extreme shock loads, abrasive dust, continuous duty cycles, and massive downtime costs—requires an Asset Performance Management (APM) or robust Computerized Maintenance Management System (CMMS) capable of heavy vibration and condition monitoring.

The "best" solution depends on whether you want an OEM-tied ecosystem or an enterprise-grade software platform that can ingest sensor data from any machine.

Top APM & Heavy Machinery Solutions

• AVEVA APM (formerly Avantis) : Excellent for heavy process, mining, and aggregate industries. It excels at integrating directly with SCADA and control room systems, tracking real-time telemetry from conveyor drives and crusher motor loads, and predicting failures before catastrophic bearing seizures or belt snaps happen.
• GE Vernova APM (Meridium) : The heavy hitter for high-stress industrial environments. If your crushing plant is massive and operates under punishing, high-capacity conditions, GE’s digital twins and asset strategy optimization help model wear-and-tear on crusher mantles, concaves, and high-tension conveyor pulleys.
• Fiix (by Rockwell Automation) : A great choice if your priority is multi-site benchmarking, inventory parts management (crucial for spare conveyor rollers and crusher jaw plates), and deep financial/ERP integration. It's more accessible than GE or AVEVA while still offering strong predictive risk forecasting.
• OEM-Specific Platforms (Metso Metrics / Sandvik MyWear / Komatsu) : If your crushers and screens are primarily modern units from manufacturers like Metso or Sandvik , their proprietary telematics packages offer out-of-the-box performance tracking tailored specifically to hydraulic pressures, choke-feeding metrics, and liner wear tracking.

To help narrow down the ideal platform for your operation, tell me:

• Are your crushers and conveyors from a single OEM (e.g., all Metso/Sandvik) or a mixed fleet?
• Do you already have an existing SCADA, PLC, or IIoT sensor setup in place, or are you starting from scratch?