Failure and Maintenance Request Management in EAM

Managing each failure or maintenance need in production lines, plant infrastructure, and auxiliary equipment quickly, accurately, and traceably is critical for uninterrupted operation and low total cost of ownership (TCO). Failure and Maintenance Request Management aims to standardize the capture, prioritization, conversion into work orders, and closure/reporting of notifications from the field. Centra EAM digitizes this process end-to-end with unique asset data, mobile field applications, and analytical dashboards.

What is Breakdown and Maintenance Request Management, and Why is it Critical?

Demand management is the process of collecting notifications from operators, quality, maintenance, or IoT systems into a single channel; categorizing, prioritizing, and directing requests to the correct resource as quickly as possible. An effective system reduces MTTR ( Mean Time to Return), minimizes unplanned downtime, prevents SLA (Software Lagging) violations, and controls workplace safety risks. It also generates clean shutdown data for root cause analysis (RCA), paving the way for permanent prevention of recurring failures.

MTTR ↓ Unplanned Downtime ↓ SLA Compliance ↑ First-Time Solution (FTR) ↑ Data Quality ↑

Note: Demand management is not simply a "complaint record"; it is a decision-making backbone that enables data-driven balancing of maintenance strategies (CM/PM/PdM).

Demand Capture & Channels

• Operator notification: One-click fault reporting via HMI/terminal, with photo/video attachments.
• Mobile & QR/RFID: Identify presence via tag on equipment, instantly open a request.
• IoT/SCADA triggers: Automatic request generation upon threshold exceedances (temperature, vibration, pressure, etc.).
• Quality & QMS integration: Automated workflow of maintenance requests arising from non-conformities.
• API/email bot: Recording data from external systems and email boxes through normalization.

Classification and Prioritization

• Standard codes: Consistency with error mode/cause/solution (FM-RS) dictionaries.
• Risk & criticality: Scoring based on safety, environmental impact, quality, and production impact.
• SLA matrix: Target intervention and resolution times according to priority class.
• Triage process: Filtering and combining misleading/duplicate requests.

Process Flow (End-to-End)

• Notification: Operator/machine/quality system initiates request; asset, location, and time information is automatically filled in.
• Triage & Approval: The maintenance planner clarifies class, priority, and occupational safety requirements.
• Work Order Conversion: Immediate work order if applicable; otherwise, forward to backlog and PM/PdM.
• Planning & Scheduling: Assignment based on shifts, competencies, and spare parts availability.
• Field Applications: Mobile checklists, photo/video, part consumption, and e-signature.
• Closing & RCA: Mandatory code fields, downtime, cost, and root cause are processed.
• Analysis & Improvement: Lasting actions through Pareto analysis, FMEA, and repeat analysis.

Work Order Conversion & Planning

• Templates: Standard work steps and estimated times for recurring failures.
• Parts booking: Stock availability and replenishment triggers; critical part alerts.
• Resource suitability: Checking the competency matrix, certification, and PTW/LOTO requirements.
• Gantt chart: Collision warnings, dependencies, and capacity balance.

Field Application & Closing Discipline

• Mobile offline: Update and synchronize requests/work orders even without a connection.
• Evidence set: Before-and-after photos, measurement data, and test results.
• Required fields: Failure mode, cause, solution, downtime, labor/item cost.
• Customer approval: Closing via e-signature from the relevant line/production manager.

Digital Skills

• IoT/SCADA integration: Alarm → request/work order automation, meter-based triggers.
• Analytics & alerts: SLA violation risk, re-opening failures, anomaly detection.
• Artificial intelligence: Case-matching, suggested solutions, estimated solution time.
• Document links: P&ID, maintenance instructions and safety procedures all at a glance.

Enterprise Integration Architecture

• ERP: Material booking, purchase request (PR), accounting, and fixed asset bridges.
• MES/QMS: Downtime codes, quality nonconformities, and CAPA workflows.
• EHS: Work permits (PTW), LOTO and risk assessment links.
• CMMS/EAM: Consolidation for individual entity and work order facts.

KPIs and Management Dashboard

Indicator Definition Target Effect

MTTR Average time taken to resolve the issue. ↓ Downtime cost, ↑ Availability

First Time Solution (FTR) Percentage of jobs closed in a single visit/study ↑ Customer satisfaction, ↓ Secondary standing

SLA Compliance Tasks completed within the target response/resolution timelines. ↑ Predictability, ↓ Latency

Reopening Rate Recurrence rate of the closed fault within a specific period ↓ Quality problem, ↑ RCA efficiency

Request → Work Order Conversion Speed/quality of converting requests into work orders Improved streaming performance, Improved data integrity.

Fault/Request Management with Centra EAM

Centra EAM integrates demand collection, triage, planning, field implementation, and closing reporting on a single data model. It enables rapid field data collection via mobile applications, automatically converts IoT/SCADA alarms into requests, and provides SLA alerts and AI-generated recommendations for planning.