Process Management and Workflows in Enterprise Asset Management (EAM)

The success of Enterprise Asset Management (EAM) depends not only on the right equipment and spare parts, but also on end-to-end process management and workflow discipline. Standardized steps, clear responsibilities, and digital orchestration ensure that work orders, procurement, materials, personnel, and EHS flows run in unison. Centra EAM's Process Management – Workflow capabilities integrate the policy-procedure-implementation triad onto a single data model, delivering speed, visibility, and compliance.

Process Management – What is Workflow and its Role in EAM?

Process management is the definition, modeling, execution, monitoring, and improvement of activities to achieve business objectives. In the context of EAM, workflow ensures that the steps in the asset and maintenance lifecycle (request, triage, planning, execution, closing, analysis) progress in a consistent and traceable manner. This reduces MTTR, increases OEE, decreases SLA violations, and strengthens compliance (EHS, quality, audit trail).

MTTR ↓ OEE ↑ SLA Compliance ↑ Audit Trail ↑ Data Quality ↑

Note: A well-designed workflow brings together personnel, asset, material, and purchasing data within the same context. It enables evidence-based decision-making and makes continuous improvement a cyclical process.

Process Architecture and Modeling

• Layered architecture: Value chain (L0), main process (L1), sub-process (L2), and work step (L3) hierarchy.
• Modeling: BPMN-based flows; work order lifecycle with state machines.
• RACI matrix: Clear authority and responsibility with roles of responsible, approving, consulted, and informed.
• Policy-procedure: Embedded mandatory steps such as work permits (PTW/LOTO), calibration, and acceptance tests.

Governance and Standards

• Standard code sets: Failure mode–cause–solution (FM–R–S), shutdown codes, material classes.
• Templates: Checklists, approval steps, and safety checks for repetitive tasks.
• Change management: Versioning and impact analysis of process changes.
• Audit trail: Who-what-when; complete traceability of revision and approval records.

End-to-End Workflow

• Request/Notification: A business need arises from an operator, quality, or IoT alert; asset and location are automatically linked.
• Triage & Prioritization: Priorities are determined based on criticality, safety, and production impact; duplicates are separated.
• Creating a Work Order: The correct work type/template is selected; mandatory EHS and document checks are performed.
• Planning and Scheduling: Assignment based on competency, shift, and material availability; Gantt chart and capacity balancing.
• Field Operations (Mobile): Checklists, photos/videos, measurement data; offline work and e-signature.
• Closing: Downtime, cost, FM-R-S codes and quality approval; data verification.
• Analysis & Improvement: Pareto, RCA, FMEA; permanent actions for recurring failures.

Automation and Orchestration

• Event triggers: Automatic work order/PR upon limit exceedance; alert when SLA risk is approaching.
• Situation-dependent branching: If risk > threshold, additional approval and PTW steps are mandatory.