Meridian Manufacturing
Group
Precision Manufacturing • 850 employees • 3 plants
How OASIS eliminated 40+ hours of weekly manual data entry and transformed quality reporting from a 5-day delay to instant visibility across all 3 manufacturing plants.
Illustrative case study. Company name and identifying details have been changed to protect client confidentiality. Results reflect outcomes from a real completed engagement.
Manual quality data buried
in spreadsheets and email chains
Meridian Manufacturing Group operates 3 precision manufacturing plants producing components for aerospace, automotive, and industrial clients. Quality assurance is not optional in their business -- it is the business. Every part that leaves their facility carries a certificate of conformance backed by inspection data from 12 distinct checkpoints.
The problem was not that they lacked quality data -- they had too much of it, all trapped in the wrong format. QA inspectors at each plant manually entered measurements from 12 inspection points into Excel spreadsheets. Each inspector had their own workbook layout, their own naming conventions, and their own formulas. There was no standardization across plants.
The completed spreadsheets were emailed to headquarters weekly, creating a 5-7 day delay before leadership had any visibility into quality metrics. By the time a quality issue surfaced in the reports, hundreds of additional parts had already moved through the affected process.
Before OASIS -- By the Numbers
| Manual data entry | 40+ hours/week |
| Inspection points | 12 per part |
| Data delay | 5-7 business days |
| Data accuracy | 94.1% |
| Compliance reconciliation | 2 weeks per quarter |
| Spreadsheet formats | 3 different per plant |
| Quality visibility | Weekly, post-hoc only |
The 94.1% accuracy rate might sound acceptable -- but in precision manufacturing, a 5.9% error rate in inspection data meant that defective parts could slip through undetected. Each missed defect carried a potential cost of $2,000-$15,000 in warranty claims, rework, and customer credits.
A complete process overhaul,
not just an automation layer
The OASIS Standard Package provided Meridian with full process mapping, scored automation opportunities, architecture recommendations, risk assessment, and a phased implementation roadmap.
Deliverables
- Full process mapping across all 3 plants with current-state documentation
- 8 automation opportunities identified, scored by ROI impact and implementation complexity
- Real-time data pipeline architecture -- sensors to centralized dashboard
- Tool recommendation: n8n for workflow orchestration + Power BI for dashboarding
- Risk assessment with documented fallback procedures for each automation
- 3-phase implementation roadmap spanning 8 weeks
- Standardized inspection data schema across all plants
- Training documentation for QA teams and plant supervisors
Quality Gate Validation
Every recommendation passed through the OASIS 5-gate validation process. This ensured that automations were not just technically feasible -- they were operationally sound, risk-mitigated, and aligned with Meridian's compliance requirements.
Gate 1 -- Process Mapping
Documented every manual step across 3 plants, identifying bottlenecks and data handoff failures.
Gate 2 -- Opportunity Scoring
Ranked 8 automation opportunities by ROI, risk, and implementation effort.
Gate 3 -- Architecture Design
Designed sensor-to-dashboard pipeline with n8n orchestration and Power BI visualization.
Gate 4 -- Risk Assessment
Documented 14 risk scenarios with fallback procedures and manual override capabilities.
Gate 5 -- Roadmap Delivery
Delivered 3-phase implementation plan with success metrics and validation checkpoints.
8-week phased rollout
The 3-phase roadmap was designed to deliver incremental value at each stage, minimizing disruption to active production lines.
Foundation & Data Standardization
- Unified inspection data schema deployed across all 3 plants
- Legacy Excel workbooks migrated to standardized templates
- Sensor calibration audit at all 12 inspection points
- n8n instance provisioned and configured
- QA team training sessions (2 per plant)
Validation checkpoint: All 3 plants recording data in unified format with zero schema errors for 5 consecutive days.
Automation & Pipeline Build
- Sensor-to-n8n data ingestion pipeline activated
- Automated data validation rules deployed (replacing manual checks)
- Power BI dashboards built with real-time quality metrics
- Alert system configured for out-of-tolerance readings
- Parallel run alongside manual process for verification
Validation checkpoint: Automated pipeline matching manual data within 0.5% variance for 10 consecutive days.
Cutover & Optimization
- Full cutover from manual to automated data capture
- Manual process retired with documented rollback procedure
- Compliance reporting automated (quarterly reconciliation eliminated)
- Executive dashboard with cross-plant comparison views
- Post-launch performance review and tuning
Validation checkpoint: 99%+ data accuracy sustained for 7 days, stakeholder sign-off received from VP Operations and Plant Managers.
The measurable difference
| Metric | Before OASIS | After OASIS | Improvement |
|---|---|---|---|
| Weekly manual data entry | 40+ hours | 5.2 hours | 87% reduction |
| Data accuracy | 94.1% | 99.2% | 5.1 percentage points |
| Quality visibility latency | 5-7 days | Real-time | Instant |
| Quarterly compliance reconciliation | 2 weeks | Automated | Eliminated |
| Spreadsheet formats in use | 9 (3 per plant) | 1 unified schema | Standardized |
| Annual operational savings | Baseline | $182,000 | $182K saved |
| Out-of-tolerance detection | Next weekly report | Within 30 seconds | Real-time alerting |
Where the $182K in savings came from
Savings Breakdown
| Labor reduction (data entry) | $89,000 |
| Compliance reconciliation elimination | $34,000 |
| Reduced quality escapes | $41,000 |
| Faster issue resolution | $18,000 |
| Total Annual Savings | $182,000 |
The $3,500 OASIS audit investment delivered a 52:1 ROI ratio within the first year. The payback period was less than 7 business days after full implementation.
Operational Impact Beyond the Numbers
The most significant change was cultural. QA inspectors who previously spent hours on data entry were reassigned to proactive quality improvement initiatives. Plant managers gained real-time visibility into quality trends and could respond to issues within minutes rather than days.
The unified data schema also created an unexpected benefit: cross-plant benchmarking. For the first time, Meridian could compare quality metrics between plants using identical measurement criteria, identifying best practices that could be shared across facilities.
Customer audit response times dropped from 2 weeks to same-day, as all historical quality data was now instantly accessible through Power BI dashboards with full traceability.
Why Process Came First
Most automation vendors would have looked at Meridian's Excel-based workflow and immediately proposed a digital form or scanning solution. OASIS took a different approach.
The initial process mapping revealed that 3 of the 12 inspection points were redundant -- they measured the same attribute at different stages with no additional quality value. Two other checkpoints had tolerance ranges that hadn't been updated since 2019, despite material specification changes.
By fixing the underlying process before automating it, OASIS ensured that Meridian wasn't just doing the same broken work faster. They were doing the right work, at the right time, with the right data flowing to the right people.
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