Case study
Transforming Alu Menziken aluminum production with QRmaint
Everything was clear. We needed a digital foundation that would allow our teams on the production floor to work quickly and record data transparently, while providing management with the real-time analytics necessary to prevent future breakdowns before they even occur.
In high-precision manufacturing, equipment downtime directly jeopardizes delivery timelines, operational margins, and plant overall equipment effectiveness (OEE). Alu Menziken, a premier manufacturer of high-grade aluminium components, faced mounting engineering challenges related to unscheduled production halts on their production lines.
Prior to implementing QRmaint, the plant suffered from localized blind spots. While maintenance technicians were highly skilled, their operational workflows were primarily governed by legacy paper tracking sheets and fragmented spreadsheet tables (like the “central” data logs).
What was the Root Cause?
- Lack of Centralized Failure Documentation: Breakdowns were addressed quickly on a practical level, but technical details regarding the true mechanisms of failure were rarely structured systematically. Consequently, engineering teams could not map or spot repetitive failure modalities.
- Fragile Preventive Maintenance Framework: Scheduled interventions relied significantly on human memory and scattered calendar notes. Complex machinery drifted outside standard operational tolerances, triggering catastrophic, unexpected breakdowns.
- Obscured Asset Lifecycle Data: Tracking MTBF and MTTR manually introduced structural time-lags. By the time charts were updated, the operational insights were historic rather than actionable.
“Everything is clear, yes. We needed a digital anchor that allowed our teams on the floor to execute fast, record data transparently, and give leadership the real-time analytics required to prevent the next breakdown before it occurs.” > — Viorel Osan, Maintenance Manager, Alu Menziken Romania

The Solution: Deploying QRmaint CMMS
The deployment of the QRmaint CMMS platform focused on removing technical and administrative friction directly from the production floor. The QRmaint onboarding team tailored the cloud solution to accommodate rapid technician adoption, asset tagging via QR codes, and real-time operational dashboarding.
Key Solution Components Implemented:
- Instant Mobile Ticket Assignment: Technicians scanning a localized machine asset tag could instantly view its exact repair history, digital blueprints, and submit standardized logs.
- Automated Preventive Maintenance (PM) Schedules: Calendar-driven and counter-driven alerts shifted the department from reactive corrective loops into planned, predictive workflows.
- Live KPI Infrastructure: Mathematical tracking for MTBF and MTTR was automated via live data pipelines, displaying operational health directly to management.
“Everything is clear, yes. We needed a digital anchor that allowed our teams on the floor to execute fast, record data transparently, and give leadership the real-time analytics required to prevent the next breakdown before it occurs.” — Viorel Osan, Maintenance Manager, Alu Menziken Romania

Analysis: 4 Years of data performance
The success of the deployment is structurally vindicated by the plant’s official data tracking spanning from January 2022 through December 2025, so blow we tooked some key metric breakthroughs:
- Evolution of MTBF (Reliability Vector): In the baseline year (2022), the facility operated with highly constrained MTBF periods, bottoming out at 14.4 hours in May 2022. Following systematic QRmaint execution and predictive tracking, the intervals grew longer. By December 2023, the plant recorded a stellar 79.1 hours of continuous production between failures—a 267% peak increase relative to the prior baseline lows. The system reliability maintained a structurally higher floor through 2024 (peaking at 67.3) and 2025 (peaking at 73.0 in September).
“Seeing our Mean Time Between Failures climb from a low of 14.4 hours back in 2022 to peaks over 70 hours is proof that systematic, automated preventive maintenance works. — Viorel Osan, Maintenance Manager, Alu Menziken Romania
- Control Over MTTR (Maintainability Vector): Critically, while equipment was running significantly longer between technical failures, the average time required to restore broken machinery (MTTR) remained under tight control. Backed by quick access to parts records and standard procedures on the mobile app, MTTR repeatedly dropped to highly optimized floors of 0.5 hours in late 2024.
Measurable results with business impact base on QRmaint solution
- Transition to Predictive Engineering: Automated PM schedules drastically reduced sudden, costly manufacturing friction across aluminum extrusion and fabrication assets.
- Elimination of “Data Silos”: Outdated offline tracking methods were transformed into a single source of truth accessible instantaneously via floor mobile devices.
- Strategic Capex Clarity: The data allowed Viorel Osan and the plant’s leadership team to isolate exact assets demonstrating high failure recurrence patterns and justify precise maintenance or equipment investments.

Summary
The collaborative implementation between QRmaint and Alu Menziken Romania demonstrates that digital transitions in manufacturing yield structural improvements when software usability meets plant floor practicality. By modernizing their maintenance ecosystem, Alu Menziken successfully turned complex operational metrics into an unyielding competitive advantage.
“The collaborative synergy with the platform turned our complex maintenance logs into a clean, unyielding competitive advantage on the factory floor.” — Viorel Osan, Maintenance Manager, Alu Menziken Romania
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