Equipment & asset register
Maintain asset IDs, descriptions, categories, serial numbers, locations, installation dates, warranty details, criticality and lifecycle status. Organise plant, line, machine and component relationships.
Connect equipment, people, spare parts and production plans in one maintenance workflow. Move from unexpected breakdowns to planned, measurable equipment care.
Schedule preventive work, respond to condition alerts, plan shutdowns and understand the real cost of every asset. Give maintenance and production teams a shared view of plant readiness.
In manufacturing, one unavailable machine can affect an entire line: operators wait, work-in-progress accumulates, delivery dates move and costs rise. A connected ERP maintenance process helps teams plan work, record what happened and make better decisions using consistent asset history.
Solis System Maintenance Management is designed as a practical framework for manufacturers that need control over equipment, maintenance requests, work orders, schedules, labour, spares and performance—without losing sight of day-to-day production.
Manage the complete maintenance lifecycle—from the first operator observation through planning, execution, verification and performance review.
Maintain asset IDs, descriptions, categories, serial numbers, locations, installation dates, warranty details, criticality and lifecycle status. Organise plant, line, machine and component relationships.
Define recurring jobs by calendar frequency, operating hours, production cycles, meter readings or usage counts. Generate due work from approved maintenance plans.
Create, prioritise, assign and track corrective, preventive, inspection, lubrication, calibration and shutdown work through clear statuses and approvals.
Let operators report an abnormal sound, leak, vibration or stoppage with the asset, symptom, urgency, shift and supporting notes. Convert approved requests into work orders.
Check stock availability, reserve parts against jobs, record issues and returns, monitor minimum levels and initiate purchase requests for shortages.
Record failure start and end times, causes, repair duration and lost production. Review repeat failures, MTTR, MTBF, availability and maintenance cost trends.
A consistent workflow makes ownership visible, improves handovers between shifts and creates a usable history for future planning.
Operator reports an issue or the system identifies work due from a maintenance plan or meter reading.
Planner checks safety, asset criticality, production impact, urgency and required skills.
Estimate labour, duration, tools, permits and spare parts; coordinate the maintenance window.
Technician follows the procedure, records findings, parts used, actual time and failure cause.
Supervisor reviews work, asset is released for operation and the history updates for analysis.
Choose the process depth that fits your plant, while keeping a clear path to more advanced maintenance practices.
Link a machine to assemblies and maintainable components. See past repairs, replacements, inspections and recurring faults in one history.
Standardise task steps, safety precautions, inspection points, tools, estimated hours and reference documents for repeatable work.
Schedule work around shifts, planned production stoppages, technician availability and statutory or customer-required inspections.
Assign responsible technicians, skill requirements, internal teams and external service providers; record attendance and actual work hours.
Plan spare parts in advance, reserve available stock, identify shortages and connect purchase requests to the maintenance requirement.
Track inspection due dates, measurement results, pass/fail decisions, certificates, corrective actions and approvals where required.
Capture labour, consumed materials, contractor charges and other recorded expenses to compare planned and actual maintenance costs.
Give authorised users a practical way to view assigned jobs, check procedures, report findings and update work status near the equipment.
Start with reliable asset data and disciplined preventive maintenance. Add condition monitoring and predictive techniques when your equipment, data quality and team readiness support them.
Plan your next step →Advanced capabilities such as sensor connectivity, predictive analytics and automated alerts depend on the equipment, integrations, data availability and selected system configuration.
Advanced maintenance is built on clean master data, good work-order discipline and dependable records—not technology alone.
Respond to failures, record repairs and establish an accurate equipment register.
Introduce recurring plans, checklists, due dates, work scheduling and spare-parts readiness.
Use inspection readings and condition thresholds to make maintenance timing more responsive.
Use reliable history, connected data and analytics to improve risk-based maintenance decisions.
Maintenance does not happen in isolation. Connect the work order with the operational information required to prepare, execute and close the job.
Coordinate planned maintenance windows with production schedules, line priorities and equipment availability. Communicate expected downtime before work begins.
Check on-hand and reserved quantities, identify part locations, issue components to work orders and return unused material with traceable transactions.
Raise purchase requests for unavailable parts and services, follow supplier delivery status and help ensure critical items arrive before scheduled work.
Provide a consistent basis for reviewing maintenance material, labour and service costs, with posting and accounting treatment determined by ERP configuration.
Record inspection outcomes, permit checks, required approvals and corrective actions to support controlled, auditable maintenance execution.
Align assignments with technician availability, skills, shift calendars and training or certification requirements where applicable.
Establish a baseline first, then use consistent measures to understand whether maintenance changes are improving operations.
Understand when assets are ready for production and how downtime affects output.
Review time from request to response and the duration required to restore equipment.
Compare planned and actual labour, materials, services and other recorded job costs.
Monitor preventive work completion, overdue jobs, inspection compliance and repeat faults.
Use common definitions across sites and departments so maintenance, production and management can discuss performance using the same facts.
Average time needed to restore equipment after a failure.
Operating time between recorded failures; useful for tracking reliability.
How consistently equipment is ready when production needs it.
Whether scheduled preventive work is completed on time.
Production time lost to unexpected equipment stoppages.
Recorded labour, parts and service cost by asset or period.
Use a common maintenance process while tailoring plans and checklists to the equipment type, production environment and risk profile.
Compact sample charts show how maintenance KPIs can be presented inside the ERP dashboard. The values below are illustrative demo data, not live plant results.
Illustrative OEE calculation; define planned production time and exclusions consistently.
Use downtime reason codes to identify repeat faults and high-impact assets.
Track overdue tasks and the reasons work could not be completed as planned.
A staged rollout helps teams adopt the system without trying to digitise every maintenance process on day one.
Clean up equipment lists, locations, asset hierarchy, criticality ratings, maintenance owners and existing service records.
Define request categories, priorities, work-order statuses, job plans, preventive frequencies, safety checks and approval rules.
Agree spare-part codes, minimum stock, reservations, technician skills, shifts and procurement hand-offs.
Run a pilot on selected critical machines, train operators and technicians, and refine workflows from real feedback.
Review data quality, compliance, downtime and costs regularly. Add advanced monitoring only when the foundation is dependable.
Assign ownership for master data, failure coding, KPI definitions, procedure revisions and periodic maintenance-plan reviews.
It is the structured management of equipment, maintenance requests, preventive plans, work orders, technicians, spare parts, repair history, costs and performance measures within the wider manufacturing operation.
Preventive maintenance is scheduled before a known failure based on time, usage or cycles. Corrective maintenance addresses a fault or defect that has already been identified; it may be planned or urgent depending on risk and production impact.
Yes. A connected process can help planners coordinate work windows with production schedules, shift calendars, equipment availability and the parts or skills required. Actual integration depends on the ERP configuration.
It links required materials to work orders, checks available stock, supports reservations and issues, identifies shortages and can initiate purchasing workflows for unavailable items.
No. Predictive maintenance depends on suitable asset data, reliable history, meaningful condition signals and validated models or rules. It supports better decisions but cannot guarantee that every failure will be predicted.
A phased approach can suit SMEs: begin with asset registers, breakdown requests, work orders, preventive schedules and spare-parts control, then expand into reliability analytics and connected equipment data as needs grow.
Discuss your equipment types, current maintenance process, spare-parts challenges and reporting needs. Build a practical roadmap for connected maintenance within your manufacturing ERP.