Automate Asset Management: 88% PM Compliance Achieved
A documented Predictive Maintenance in Industrial Machinery deployment at Anonymous Asia Pacific Builder, with source-attributed results and missing evidence labelled explicitly.
Evidence at a glance
- Evidence status:
- Automated evidence gate passed
- Deployment timeframe:
- Not reported by source
- Reported outcome metrics:
- 1 cited below
- Directory entry published:
The source-link check confirms reachability, not independent re-verification of every claim.
Source-reported figures — cited source: rockwellautomation.com
The Challenge
An Asia Pacific engineering and construction firm operating a digital industrialized building system (IBS) facility — with capacity to produce up to 10,000 housing units annually — was managing a large base of complex machinery and robotics entirely through manual spreadsheets. This approach left maintenance teams with incomplete equipment histories, limited spare parts visibility, and no structured preventive maintenance program. The result was frequent emergency breakdowns, reactive repairs, and parts delays that drove unacceptable downtime. In industrial machinery environments where production continuity directly affects output commitments, this reactive posture carried real operational and financial cost.
The Solution
To shift from reactive to proactive maintenance, the firm adopted Fiix CMMS (Computerized Maintenance Management System), a software platform from Rockwell Automation, and engaged EDMS Consultants as their implementation partner starting in 2019. Fiix centralized asset registration, lifecycle tracking, and preventive maintenance scheduling into a single dashboard accessible in real time by relevant stakeholders. The Work Order Management module standardized incoming requests — including from non-licensed users on the shop floor — and enabled analysis of historical work order data. Fiix's mobile app extended access to technicians working on-site or remotely. Custom reporting tools delivered critical maintenance insights to both frontline and management teams, replacing the fragmented spreadsheet workflow with a structured, data-driven operation.
Results
By the end of its 2020 fiscal year, the firm had achieved measurable, world-class maintenance outcomes:
- PM Compliance Rate: Increased from approximately 60% to 88% — a world-class benchmark — through structured preventive maintenance scheduling
- Monthly Downtime Rate: Reduced to 4.52%, below the firm's internal 6% monthly target
Beyond the headline numbers, the maintenance team gained full visibility into asset status and historical repair records from day one of each asset's lifecycle. This transparency improved resource allocation decisions and parts procurement. Senior maintenance staff cited significant departmental improvement in downtime management as a direct result of the platform adoption.
Key Takeaways
- Start with a free trial to build internal buy-in — this firm's path from spreadsheets to CMMS began with a Fiix trial, which demonstrated value before a full commitment was made.
- Centralized asset history is a force multiplier — storing complete maintenance records per asset enables better diagnostics, faster repairs, and more accurate PM scheduling over time.
- Work order accessibility drives frontline adoption — allowing non-licensed users to submit requests removes friction and increases data completeness across the operation.
- Partner support accelerates capability maturity — EDMS's ongoing health checks identified unused features (e.g., Parts Forecaster) that extend ROI beyond initial implementation.
- Target PM compliance as a leading indicator — improving compliance proactively reduces emergency breakdowns rather than simply tracking downtime after the fact.
Explore Related
Vendor
Details
- Industry
- Industrial Machinery
- Use Case
- Predictive Maintenance
- AI Technology
- Not available in record
- Company Size
- Enterprise
- Company
- Anonymous Asia Pacific Builder
- Evidence status
- Automated evidence gate passed
- Deployment timeframe
- Not reported by source
- Directory entry published
Cited source
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