IBM Maximo for Manufacturing
Predictive maintenance, visual inspection, and MRO spares on IBM Maximo Application Suite, configured for production plants
Overview
Siemens estimates the world's 500 largest companies lose about $1.4 trillion a year to unplanned downtime, and an idle line at a major automotive plant can cost up to $2.3 million an hour. IBM has no separate "Maximo for Manufacturing" product: plants run core Maximo Manage with the suite's reliability apps. Maximo Monitor watches PLC and historian data for anomalies, Maximo Health scores asset condition and risk, Maximo Predict estimates failure probability and remaining useful life, and Maximo Visual Inspection finds defects on the line. We configure that stack for your plant, connect it to your MES and SCADA systems, and help your maintenance team move from reacting to failures to planning around them.
What manufacturing maintenance leaders are prioritizing
MAS 9 naming changes plants should know
Maximo Assist was renamed Maximo Collaborate in MAS 9.1 and became a Maximo Manage add-on in MAS 9.2. Maximo Health is no longer a stand-alone suite app; it is an add-on in Manage. In MAS 9.2, Maximo Monitor runs without the IoT Platform, and Maximo Visual Inspection drops Caffe/Darknet models and NVIDIA Pascal GPUs, which matters if you are upgrading an older on-premises install.
The problem
$1.4T annual cost of unplanned downtime. Across the world's 500 largest companies, about 11% of revenue
$2.3M per hour, idle automotive line. Upper-end cost of a stopped line at a major automotive plant
52.7% less unplanned downtime. Manufacturers less reliant on reactive maintenance vs. reactive-heavy peers
Siemens found large plants still lose about 27 hours a month to unplanned stoppages, and every hour on a bottleneck line cascades into missed shifts and orders.
Many plants still run a large share of assets to failure. NIST found manufacturers that rely less on reactive maintenance have markedly less downtime and fewer defects.
OEE is calculated in MES or OEE tools, while downtime reasons and failure codes live in the CMMS. Without integration, availability losses can't be traced to root causes.
The Manufacturing Institute and Deloitte estimate US manufacturers may need 3.8 million workers by 2033, with 1.9 million roles potentially unfilled.
Connecting legacy PLCs, historians, and sensors to Maximo needs edge data collection and OT network security planning, not just software licenses.
Lockout/tagout and machine guarding are among OSHA's most-cited standards, and both apply while equipment is being serviced.
How we fix it
Edge Data Collector brings PLC and historian data into Maximo Monitor for anomaly detection. Maximo Health scores condition and risk, and Maximo Predict estimates failure probability and remaining useful life for critical rotating equipment, presses, and conveyors.
AI in practice
Engineers can raise a prioritized Manage work order directly from an at-risk asset, and Health automation can be configured to trigger work when thresholds are crossed.
Maximo does not calculate OEE natively. We integrate downtime reasons, failure codes, and MTBF/MTTR from Maximo Manage with your MES or OEE tool through the Maximo Integration Framework or REST APIs.
AI in practice
Maximo Monitor can flag abnormal cycle or speed patterns when cycle data is available, so availability losses are linked to specific assets and failure modes.
Maximo Visual Inspection trains computer-vision models to detect weld, surface, and assembly defects, with continuous retraining from inspector feedback.
AI in practice
In MAS 9.2, inspections can run on iOS devices inside Maximo Mobile, and models can be deployed at the edge close to the line.
Maximo Mobile puts job plans, safety plans, and digital checklists in technicians' hands online or offline. Maximo Collaborate (formerly Assist) adds remote expert video sessions.
AI in practice
The Maximo Assistant in the MAS AI Service suggests problem codes and drafts FMEA content from asset history to speed up planning.
The Reliability Strategies library provides failure modes and PM tasks for hundreds of asset types as a starting point for RCM. MRO Inventory Optimization recommends reorder points and maximums from usage and lead times.
AI in practice
Optimized reorder points are pushed back to the Maximo item master so stocking decisions reflect real demand.
Walk through your assets, integrations, and compliance needs with an engineer who has configured Maximo for your industry.
The platform
Compliance
Asset register, criticality, and lifecycle cost in Maximo support an ISO 55001 asset management system.
Maximo Calibration tracks gauges, as-found/as-left data, and reverse traceability for quality-critical instruments.
Safety plans, hazards, and precautions on job plans and work orders, plus HSE permits, keep LOTO steps in the maintenance workflow.
Digital inspection checklists confirm guards are reinstated before a work order can be closed.
IEC 62443 OT Cybersecurity
Relevant when Monitor and Edge Data Collector connect to plant networks. This is an architecture and segmentation requirement, not a Maximo certification.
Plants use Maximo Application Suite to manage maintenance of production equipment: the asset register, work orders, preventive maintenance, MRO spare parts, and purchasing. The suite's Monitor, Health, and Predict apps add condition monitoring, risk scoring, and failure prediction.
No. IBM's MAS 9.1 licensing guide lists six industry solutions: Aviation, Civil Infrastructure, Nuclear, Oil & Gas, Transportation, and Utilities. Manufacturing runs on core Maximo Manage plus suite apps such as Monitor, Health, Predict, and Visual Inspection.
A CMMS focuses on maintenance execution: work orders, PMs, and labor. An EAM such as Maximo covers the whole asset lifecycle, including procurement, inventory, cost, reliability strategy, and retirement across multiple sites.
Not natively. OEE usually comes from an MES or dedicated OEE tool. Maximo supplies the maintenance side, such as downtime reasons, failure codes, and MTBF/MTTR, and is integrated with the OEE tool through the Maximo Integration Framework or REST APIs.
Maximo Monitor ingests sensor and PLC/historian data and detects anomalies. Maximo Health scores asset condition and risk. Maximo Predict estimates failure probability and remaining useful life, and engineers can create a work order in Maximo Manage directly from an at-risk asset.
NIST survey data found that manufacturers relying less on reactive maintenance had 52.7% less unplanned downtime and 78.5% fewer defects than reactive-heavy peers.
It trains computer-vision models to detect and classify defects, for example on welds, surfaces, and assemblies. In MAS 9.2 it can run inspections on iOS devices inside Maximo Mobile.
It was renamed Maximo Collaborate in MAS 9.1, and in MAS 9.2 it moved from a suite add-on to a Maximo Manage add-on. Generative-AI guidance now comes from the Maximo Assistant in the MAS AI Service.
Control of Hazardous Energy (lockout/tagout, 29 CFR 1910.147) and Machine Guarding (29 CFR 1910.212) both appear on OSHA's list of most frequently cited standards and apply during servicing and maintenance.
Tell us where your maintenance program is today. We will tell you honestly what Maximo can and cannot do for it.
