CMMS for Manufacturing: Equipment Reliability Guide

Manufacturing maintenance operates under relentless pressure: aging equipment, shrinking skilled labor pools, strict production schedules, and constant cost constraints. The wrong maintenance approach leads to missed production targets, emergency repairs, and frustrated operations teams. The right approach transforms maintenance from a cost center to a strategic competitive advantage.

According to Grand View Research, the global CMMS market is expected to reach USD 2.41 billion by 2030, with manufacturing representing the largest adopter segment. More than 60% of U.S. manufacturing and utility companies have integrated CMMS software into their maintenance workflows, driven by the need to maximize equipment uptime and reduce operational costs.

This comprehensive guide covers what manufacturing facilities actually need from maintenance software in 2026—including Industry 4.0 integration, OEE improvement methodologies, downtime reduction tactics, and proven ROI validation approaches.

The Manufacturing Maintenance Challenge: What Makes It Different

Manufacturing faces unique maintenance pressures that distinguish it from general facilities management. Understanding these pressures is the first step toward selecting the right CMMS solution.

The Cascading Impact of Production Downtime

When equipment fails in manufacturing, the consequences ripple throughout the entire operation:

• Production lines stop immediately
• Downstream stations idle, wasting labor capacity
• Customer orders miss committed delivery dates
• Premium freight costs surge to make up delays
• Overtime scrambles deplete budgets
• Quality issues multiply during startup recovery

According to IDS in Data research on manufacturing downtime costs, manufacturing downtime costs U.S. manufacturers approximately $50 billion annually. The average cost per facility is $129 million per year—a 65% increase in just two years. Costs vary dramatically by industry, from $2 million per hour in automotive to $500,000 per hour in oil and gas.

ARDA research on downtime costs reveals that large manufacturers can lose over $16,000 per minute during outages, equivalent to approximately $1 million per hour. The average manufacturer faces approximately 800 hours of unplanned machine maintenance and downtime annually—equivalent to about 15 hours per week of paid non-productive time.

These numbers explain why maintenance effectiveness directly impacts competitive positioning. Companies that master maintenance management gain substantial cost advantages over competitors still fighting reactive fires.

Overall Equipment Effectiveness: The Manufacturing Success Metric

Manufacturers measure operational success through Overall Equipment Effectiveness (OEE)—a single metric that combines three critical dimensions:

• Availability: Are machines running when scheduled? (Measures planned and unplanned downtime)
• Performance: Are they running at target speed? (Measures speed losses and small stops)
• Quality: Are they producing good parts? (Measures defects and rework)

According to the Japan Institute of Plant Maintenance (JIPM), world-class manufacturers achieve OEE of 85% or higher, meaning only 15% of potential production is lost to inefficiency. However, most manufacturers operate between 60-75%, leaving substantial improvement opportunity on the table.

Every percentage point of OEE improvement translates directly to increased production capacity—without capital investment in new equipment. A facility operating at 65% OEE that improves to 75% OEE gains 15% more production capacity from existing assets.

This is why CMMS selection matters so much: the right system provides visibility into the “Six Big Losses” that erode OEE (equipment failures, setup and adjustments, small stops, reduced speed, startup defects, and production defects), enabling targeted improvement initiatives.

Aging Equipment and Mixed Technology Environments

Manufacturing equipment often runs for decades, creating complex maintenance challenges. Your CMMS must effectively manage:

• Legacy machines installed 20-30 years ago without digital interfaces
• Mixed equipment ages from multiple manufacturers
• Retrofit sensors on older assets for condition monitoring
• Spare parts for discontinued models with long lead times
• Equipment manuals stored as paper documents or lost entirely

According to Sockeye maintenance industry statistics, 42% of facilities identify aging equipment as the top cause of unplanned downtime, followed by mechanical failure at 21% and operator error at 11%.

This reality requires CMMS platforms that can accommodate equipment without sophisticated data integration capabilities while still supporting modern IoT sensors and predictive analytics for newer assets. A one-size-fits-all approach fails in these mixed environments.

Essential CMMS Features for Manufacturing Operations

Not every CMMS platform suits manufacturing environments. Generic facilities management software lacks the depth manufacturing requires. According to industry analysis from 9cv9, 65% of maintenance managers now track tasks with CMMS, but adoption success depends heavily on choosing systems with manufacturing-specific capabilities.

1. Comprehensive Asset Hierarchy Management

Manufacturing equipment exists in complex relationships that must be accurately represented in your CMMS:

Production Line 01 (Parent Asset)
├── CNC Lathe A (Child Asset)
│   ├── Spindle Assembly (Component)
│   ├── Coolant System (Component)
│   ├── Tool Changer (Component)
│   └── Control Panel (Component)
├── CNC Lathe B (Child Asset)
│   ├── Spindle Assembly (Component)
│   └── [additional components...]
├── Conveyor System (Child Asset)
│   ├── Drive Motor (Component)
│   ├── Belt Assembly (Component)
│   └── Control Panel (Component)
└── Quality Inspection Station (Child Asset)

Asset hierarchy support enables:

• Aggregated reporting: Work orders and costs roll up to parent equipment, providing system-level visibility
• Complete maintenance history: Technicians see both component-specific and system-level maintenance patterns
• Failure pattern analysis: Distinguish between component failures versus systemic design issues
• Accurate cost allocation: Production cost accounting tracks maintenance investment per production line

Manufacturing facilities without proper asset hierarchy tracking struggle to identify patterns. Is the repeated spindle assembly failure isolated to one lathe or systemic across all similar equipment? Without hierarchy, you cannot answer this question definitively.

2. Meter-Based Preventive Maintenance Scheduling

Manufacturing preventive maintenance cannot rely solely on calendar-based triggers. Equipment wear correlates with usage, not time. Your CMMS must support multiple trigger types:

Meter-based scheduling requirements:

• Automatic updates from PLCs: For connected equipment, meters should update automatically without manual intervention
• Manual reading capability: For non-connected assets, technicians must easily log meter readings via mobile app
• Automatic work order generation: The system should create work orders automatically when thresholds are reached
• Multiple meters per asset: Single assets often have multiple relevant meters (operating hours AND cycle count)
• Meter reading validation: System should flag suspicious readings (negative values, impossible jumps)

Preventive maintenance software designed specifically for manufacturing environments handles these requirements natively, whereas facilities management systems often treat meter-based scheduling as an afterthought or add-on feature.

3. Mobile Work Order Management with Offline Capability

Manufacturing technicians spend their days on the production floor, moving between equipment across the facility. Mobile access is not optional—it is mandatory for adoption success.

According to manufacturing technology research, if technicians cannot open and close work orders on a mobile phone in under 60 seconds, adoption will suffer. Technicians will revert to paper-based systems or radio communication rather than fight with clunky mobile interfaces.

Mobile capabilities manufacturing requires:

• Offline functionality: Shop floor connectivity varies; work orders must be accessible without constant network connection
• Photo capture and attachment: Document equipment condition before and after maintenance activities
• Barcode/QR code scanning: Instantly identify assets and pull up equipment history without typing
• Voice-to-text capability: Capture detailed notes hands-free while working
• Quick time and parts logging: Record labor hours and parts consumption with minimal taps
• Digital signature capture: Obtain supervisor or quality verification signatures on critical work
• Push notification support: Alert technicians to urgent work orders or status changes

Manufacturing facilities that deploy desktop-only CMMS solutions experience low adoption rates, incomplete work order documentation, and maintenance backlogs as technicians avoid logging into systems during their shifts.

4. Priority-Based Work Management and Escalation

Not all work orders carry equal weight. A broken coffee maker and a failed production line robot should not sit in the same undifferentiated queue.

Manufacturing CMMS must support:

Asset criticality classification: Designate equipment as critical, important, or routine based on production impact

Priority-based assignment rules: Automatically assign high-priority work orders to the most experienced technicians

Production schedule integration: Consider current production schedule when assigning maintenance priorities

Escalation workflows: Automatically escalate unresolved critical work orders to supervision or management

SLA compliance tracking: Monitor whether work orders are completed within acceptable timeframes based on priority

Effective priority management ensures that maintenance resources focus on production-impacting equipment first, deferring less critical work to planned downtime windows or slower production periods.

5. Integrated Inventory and Spare Parts Management

Manufacturing facilities consume spare parts constantly. Poor inventory management leads to two equally damaging outcomes: emergency stockouts that extend downtime, and excessive inventory carrying costs that drain working capital.

Manufacturing CMMS inventory management must support:

• Asset-specific parts tracking: Identify which equipment uses specific spare parts, enabling predictive ordering based on failure patterns
• Min/max inventory levels: Automatically flag when parts approach reorder points
• Barcode/QR code receiving: Streamline parts receiving and eliminate manual data entry errors
• Work order parts consumption: Log parts used on specific work orders for accurate cost tracking
• Reorder point calculation: System should recommend reorder points based on actual consumption history and lead times
• Multi-location support: Track parts across multiple warehouses or storage locations
• Vendor information: Maintain vendor contact information and lead times for each part

Inventory management integrated with work orders prevents the twin disasters of production-stopping stockouts and excessive capital tied up in unnecessary spare parts inventory.

6. Robust Reporting and Analytics Capabilities

Manufacturing maintenance generates massive amounts of data. Without proper analytics capabilities, this data provides no actionable value.

Essential manufacturing maintenance reports include:

World-class manufacturers use CMMS data to continuously improve maintenance strategies. Facilities that treat CMMS as a digital filing cabinet miss the strategic value that data analytics provides.

Industry 4.0 Integration: Connecting Sensors, AI, and CMMS

The 2026 manufacturing landscape is increasingly connected. Industry 4.0 represents the integration of IoT sensors, artificial intelligence, predictive analytics, and traditional maintenance management into a unified operational strategy.

IoT Sensor Integration for Real-Time Condition Monitoring

Connected sensors monitor equipment condition continuously, detecting anomalies before they cause failures:

When sensors detect anomalies, an IoT-connected CMMS automatically executes a workflow:

1. Alert generation: Sensor exceeds threshold, triggering alert in CMMS
2. Work order creation: System automatically generates work order with priority based on severity
3. Technician assignment: Work order routes to qualified technician based on skills and availability
4. Data attachment: Sensor trends and historical data attach to work order for context
5. Parts identification: System suggests likely parts needed based on similar historical failures

This automation eliminates the delay between condition detection and maintenance response. Instead of waiting for a technician to notice a problem during rounds or for equipment to fail completely, intervention happens proactively.

Predictive Maintenance: From Reactive to Proactive to Predictive

Manufacturing maintenance has evolved through distinct maturity stages:

According to Deloitte research on predictive maintenance, manufacturers implementing predictive maintenance systems report 30-50% reduction in machine downtime and 10-40% decrease in maintenance costs.

McKinsey research on predictive maintenance ROI demonstrates that leading organizations achieve 10:1 to 30:1 ROI ratios within 12-18 months of implementation. Some facilities achieve ROI goals within just 4-6 months, with one manufacturer achieving ROI in less than three months through tens of millions in downtime savings.

The business case is straightforward: given that Deloitte estimates unplanned downtime costs industrial manufacturers about $50 billion annually, even modest improvements in failure prediction deliver measurable returns.

ERP Integration: Connecting Maintenance to Business Operations

Manufacturing CMMS should not operate in isolation. Integration with ERP systems enables:

Financial integration:

• Parts costs flow automatically from ERP to work orders, ensuring accurate job costing
• Labor hours sync between CMMS and ERP for accurate cost accounting
• Maintenance costs roll into product cost calculations for pricing decisions
• Budget variances track in real-time, enabling proactive cost management

Procurement integration:

• Purchase requisitions auto-generate when parts reach reorder points
• Work orders reference existing POs to track parts on order
• Receiving updates inventory automatically when shipments arrive
• Vendor performance tracking links delivery times to maintenance delays

Production integration:

• Production schedules inform maintenance planning to minimize production impact
• Planned downtime windows sync between production and maintenance systems
• Equipment failures automatically notify production planners to adjust schedules

This integration enables maintenance to contribute to strategic business decisions rather than operating as an isolated cost center.

Improving OEE Through Strategic CMMS Implementation

Overall Equipment Effectiveness provides the framework for continuous improvement. CMMS implementation should directly target OEE improvement across all three dimensions.

Targeting Availability: Reducing Downtime Losses

OEE Availability measures the percentage of planned production time that equipment is actually running. It accounts for both unplanned stops (breakdowns, material shortages) and planned stops (changeovers, adjustments, preventive maintenance).

Reducing unplanned stops through CMMS:

• Preventive maintenance execution: Time-based and meter-based PM catches wear before failure occurs
• Condition monitoring alerts: IoT sensors detect degradation early, enabling proactive intervention
• Parts availability optimization: Inventory management ensures critical spare parts are available when needed
• Knowledge base access: Technicians quickly reference troubleshooting guides and repair procedures on mobile devices
• Failure pattern analysis: Historical data identifies chronic problems requiring engineering solutions

According to research on TPM and OEE implementation, combining Total Productive Maintenance with proper CMMS tracking achieved a 31% increase in Mean Time Between Failures (MTBF), 25% decrease in Mean Time to Repair (MTTR), 68% decrease in breakdown incidence, and OEE improvement from 61% to 79%.

Optimizing planned stops through CMMS:

• PM scheduling during planned downtime: Schedule preventive maintenance during production breaks rather than interrupting runs
• Maintenance preparation: Pre-stage parts and tools before scheduled maintenance to minimize downtime duration
• Skill-based assignment: Match work orders to technicians with appropriate expertise to reduce repair time
• Changeover optimization: Document and refine changeover procedures to reduce transition time

Targeting Performance: Addressing Speed Losses

OEE Performance measures whether equipment runs at its designed speed. Performance losses come from small stops (minor issues causing temporary slowdowns) and reduced speed (equipment running below ideal cycle time).

CMMS contributions to performance improvement:

• Small stop tracking: Log brief production interruptions that don’t qualify as “downtime” but accumulate to significant losses
• Equipment performance trending: Identify equipment that consistently runs below target speed
• Chronic issue documentation: Track recurring problems for focused improvement initiatives
• Root cause analysis support: Maintain detailed maintenance history to support problem-solving efforts
• Maintenance quality verification: Track whether equipment performs at target speed after maintenance activities

Many manufacturers discover that small stops—individually insignificant—collectively represent 5-10% of total losses. CMMS data visibility enables targeting these hidden losses.

Targeting Quality: Linking Maintenance to Product Quality

OEE Quality measures the percentage of parts produced that meet quality standards. Quality losses come from defective parts requiring rework or scrap, and startup losses during equipment warm-up or stabilization.

CMMS contributions to quality improvement:

• Maintenance-quality correlation: Link quality defects to recent maintenance events or deferred maintenance
• Calibration tracking: Ensure measurement equipment and process controls remain calibrated
• Adjustment documentation: Maintain records of equipment setups and adjustments that impact quality
• Post-maintenance quality checks: Require quality verification before returning equipment to production
• Preventive replacement of wear items: Replace tooling and consumables before they impact quality

According to research from Fabrico on 2025 maintenance trends, 88% of manufacturing companies use preventive maintenance, but 40% also apply predictive maintenance using analytics tools. This combination approach targets all three OEE dimensions simultaneously.

The Continuous OEE Improvement Cycle

CMMS enables the structured improvement methodology that world-class manufacturers follow:

1. Measure: Track current OEE components (Availability, Performance, Quality) using CMMS work order data
2. Analyze: Use CMMS reporting to identify the “Six Big Losses” most impacting your operation
3. Improve: Target maintenance resources at root causes rather than symptoms
4. Standardize: Document successful interventions as standard procedures in CMMS knowledge base
5. Repeat: Continue the cycle, targeting the next-biggest losses

According to OEE implementation research from RZSoftware, many businesses see productivity increases of 5-10% within the first phase of implementing OEE tracking—often within months of deployment.

Compliance Documentation and Audit Trail Management

Manufacturing facilities face regulatory requirements that CMMS must support through comprehensive documentation and audit trails.

Regulatory Audit Trail Requirements

Every maintenance activity should be recorded with complete documentation:

• What was performed: Detailed description of maintenance activities, including specific tasks completed
• Who performed it: Technician identification with skill certifications and qualifications
• When it occurred: Date and time stamps for all work order status changes
• What parts were used: Parts consumption with part numbers, quantities, and costs
• Quality verification: Approval signatures for critical work, post-maintenance testing results
• Photographic evidence: Before/after photos documenting equipment condition

This documentation supports compliance with:

• ISO 9001 quality management: Systematic approach to equipment maintenance and quality assurance
• OSHA safety compliance: Documentation of safety inspections and equipment guarding
• FDA requirements: For food processing and pharmaceutical manufacturing facilities
• Customer audit requirements: OEM quality requirements and supply chain audits
• Insurance claims: Equipment failure investigations and liability protection

According to manufacturing compliance research, having precise logs of inspections, parts replacements, and compliance checks provides immediate documentation when regulatory bodies request evidence of maintenance practices.

Digital Checklists and Standardized Procedures

Digital forms and checklists transform compliance documentation:

• Standardized inspection procedures: Ensure every technician performs inspections consistently
• Required fields: Prevent incomplete documentation by mandating critical information
• Photo evidence: Attach visual documentation automatically to compliance records
• Digital signatures: Capture supervisor and quality verification signatures electronically
• Automatic routing: Send completed forms through review and approval workflows
• Version control: Maintain revision history of procedures and checklists

Digital checklists eliminate the documentation gaps that plague paper-based systems. Technicians cannot mark a task complete without addressing all required fields.

Selecting the Right Manufacturing CMMS: Evaluation Framework

When evaluating CMMS platforms for manufacturing environments, use this structured evaluation framework to ensure comprehensive assessment.

Must-Have Features (Non-Negotiable)

Evaluate Carefully (Important but Context-Dependent)

Cloud vs. On-Premise: The 2026 Reality

According to manufacturing technology research from MicroMain, cloud platforms offer greater scalability, remote accessibility, and simpler updates—making them ideal for today’s distributed, data-intensive manufacturing environments.

Cloud CMMS advantages for manufacturing:

• Multi-site accessibility: Facilities managers access all locations from anywhere
• Automatic updates: New features and security patches deploy without IT involvement
• Superior IoT integration: Cloud platforms integrate more easily with cloud-based sensor platforms
• Lower infrastructure costs: No server hardware, backup systems, or IT staff for system administration
• Easier disaster recovery: Automatic backups and geographic redundancy included
• Scalability: Add users and facilities without hardware investments

Consider on-premise CMMS only if:

• Air-gapped security requirements: Defense contractors or facilities with classified operations
• Regulatory mandates: Specific government or industry requirements for on-premise data
• Existing infrastructure investment: Already have substantial on-premise infrastructure and IT staff

According to CMMS market analysis from Grand View Research, cloud-based deployment accounted for the largest revenue share and is expected to grow at the fastest CAGR during the forecast period, driven by benefits including cost-effectiveness, scalability, and remote accessibility.

Total Cost of Ownership Analysis

Beyond subscription fees, evaluate total cost of ownership:

Direct costs:

• Software subscription or license fees
• Implementation and configuration services
• Training for technicians and administrators
• Ongoing support and maintenance contracts
• Integration development for ERP or IoT systems

Indirect costs:

• Internal IT time for administration and support
• Change management and adoption initiatives
• Data migration from legacy systems
• Customization and configuration changes
• Mobile device costs (tablets, barcode scanners)

Hidden costs to investigate:

• Per-user pricing that escalates as you grow
• Charges for additional storage or data usage
• Fees for premium support or faster response times
• Costs for custom reports or advanced analytics
• Integration charges for third-party systems

Software evaluation research shows that 68% of enterprises increased their CMMS budget to enhance asset utilization and operational transparency. This investment trend demonstrates that organizations view CMMS as strategic infrastructure rather than discretionary spending.

Manufacturing CMMS Implementation: Phased Approach

Successful manufacturing CMMS implementation follows a structured, phased methodology rather than attempting wholesale system replacement.

Phase 1: Foundation (Weeks 1-4)

Objectives: Establish core system configuration and user access

Activities:

• Configure asset hierarchy representing production areas, lines, and equipment
• Import equipment list with basic information (make, model, serial numbers)
• Set up work order workflows and approval processes
• Establish user roles and permissions structure
• Conduct initial training for core team and system administrators
• Define custom fields for manufacturing-specific data

Success metrics:

• All critical assets entered in system
• All maintenance staff have mobile app access
• Work orders can be created, assigned, and closed
• Basic reports functioning

Phase 2: Preventive Maintenance Program (Weeks 5-8)

Objectives: Migrate preventive maintenance program to CMMS

Activities:

• Enter manufacturer PM recommendations for critical equipment
• Create meter-based schedules for production equipment
• Develop PM templates and digital checklists
• Generate initial PM calendar for next 3-6 months
• Build preventive maintenance compliance tracking
• Train technicians on PM work order execution

Success metrics:

• PM compliance tracking operational
• Meter readings logged consistently
• PM work orders generating automatically
• Technician mobile adoption above 80%

Phase 3: Optimization (Months 3-6)

Objectives: Use data to optimize maintenance strategy

Activities:

• Analyze work order data to identify failure patterns
• Adjust PM frequencies based on actual failure data rather than manufacturer recommendations
• Implement comprehensive inventory management
• Connect IoT sensors for critical equipment (if applicable)
• Develop OEE tracking and improvement targets
• Establish KPI dashboards for maintenance leadership

Success metrics:

• Reactive work orders decreasing as percentage of total
• MTBF increasing for critical equipment
• PM program optimized based on data, not assumptions
• OEE tracking operational

Phase 4: Advanced Capabilities (Months 6-12)

Objectives: Implement advanced features and expand scope

Activities:

• Implement condition-based maintenance for sensor-equipped assets
• Integrate CMMS with ERP for financial consolidation
• Deploy predictive analytics capabilities
• Expand implementation to additional facilities or production areas
• Advanced analytics for root cause analysis and continuous improvement
• Knowledge base development for tribal knowledge capture

Success metrics:

• Condition-based work orders generating from sensor data
• Financial integration delivering accurate cost accounting
• Predictive maintenance identifying failures weeks in advance
• All facilities on unified CMMS platform

Implementation Success Factors

According to manufacturing implementation research, these factors distinguish successful implementations from failures:

Executive sponsorship: Senior operations leadership actively supports and monitors implementation progress

Change management: Structured approach to user adoption including communication, training, and reinforcement

Data quality: Accurate asset information and maintenance history from day one

User involvement: Technicians and supervisors participate in configuration decisions affecting their workflows

Realistic timeline: Phased approach rather than attempting complete implementation simultaneously

Measurable objectives: Specific KPIs established before implementation to validate ROI

Measuring Manufacturing CMMS Success: KPI Framework

Track these key performance indicators to validate ROI and drive continuous improvement:

Equipment Reliability Metrics

According to reliability metrics research from F7i, world-class manufacturing operations achieve MTBF rates 3-5 times higher than industry average, resulting in 40-60% lower maintenance costs and 25-30% lower downtime.

MTBF and MTTR performance research shows that world-class organizations achieve availability rates upwards of 99% on critical equipment, requiring very high MTBF/MTTR ratios.

Maintenance Strategy Metrics

Production Impact Metrics

Financial Metrics

According to maintenance statistics from Sockeye, 28% of CMMS adopters report a reduction in unexpected equipment downtime following implementation. This downtime reduction translates directly to improved financial performance.

Benchmarking Your Performance

Compare your metrics against these industry benchmarks:

Reactive vs. Planned Maintenance:

• World-class: Below 10% reactive
• Good: 10-20% reactive
• Average: 20-40% reactive
• Poor: Above 40% reactive

PM Compliance:

• Excellent: Above 95%
• Good: 85-95%
• Fair: 70-85%
• Poor: Below 70%

OEE Performance:

• World-class: 85% or higher
• Good: 70-85%
• Average: 60-70%
• Poor: Below 60%

Use these benchmarks to establish realistic improvement targets and demonstrate ROI to executive leadership.

The Strategic Value of Manufacturing CMMS in 2026

Manufacturing maintenance has evolved from a necessary cost center to a strategic operational advantage. Companies that master maintenance management through effective CMMS implementation gain measurable competitive advantages:

Cost advantages: 10-40% reduction in maintenance costs through better prevention, faster repairs, and optimized inventory investment.

Capacity advantages: 5-15% production capacity increases through OEE improvement—equivalent to adding production capacity without capital investment.

Quality advantages: Reduced quality defects through proper equipment maintenance, calibration tracking, and preventive replacement of wear items.

Safety advantages: Better safety outcomes through systematic inspection programs and equipment reliability.

Workforce advantages: Retention of skilled technicians through modern tools, data-driven decision support, and reduced firefighting.

The CMMS market is expected to grow from USD 1.42 billion in 2025 to USD 2.41 billion by 2030, with manufacturing representing the dominant adopter segment. This growth reflects manufacturing’s recognition that maintenance excellence is strategic infrastructure, not discretionary spending.

Facilities that continue operating with paper-based systems, spreadsheets, or inadequate CMMS platforms face compounding disadvantages as competitors leverage data, automation, and Industry 4.0 integration.

The question is no longer whether to implement manufacturing CMMS. The question is whether your current system delivers the asset hierarchy, meter-based PM, mobile access, IoT integration, and analytics capabilities that 2026 manufacturing demands.

Ready to transform your manufacturing maintenance strategy? See how Infodeck’s manufacturing CMMS delivers the asset hierarchy, meter-based preventive maintenance, IoT integration, and mobile access that production facilities require. Book a demo to see it in action with your specific equipment and workflows.