Cv
CIVOPSfrom CivOps Manufacturing Systems
Assessment
EngagementENG-AUTO-2026· Magnolia Automotive · Lebanon TN Assembly
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CIVOPS MANUFACTURING SYSTEMS
CAPABILITY ASSESSMENT

Magnolia Automotive · Lebanon TN Assembly

automotive
large
3
1,250
ENG-AUTO-2026
patrick@civopssystems.io
8/5/2026
1.45
overall maturity (of 4)
MANAGED
CONFIDENTIAL · PREPARED FOR MAGNOLIA AUTOMOTIVE · LEBANON TN ASSEMBLY
01
Chapter 01

The opportunity

Where Magnolia Automotive · Lebanon TN Assembly stands today, where the next dollar of investment changes the curve, and how to move with confidence.

01

Executive summary

1.45
overall maturity
of 4 · managed
91%
capability coverage
43 of 47
$1.5M
annual ROI projected
if recommended uplifts adopted
4
capabilities at "initial"
primary investment targets

Magnolia Automotive · Lebanon TN Assembly sits at the managed stage of digital-manufacturing maturity. The largest opportunities are in standardizing data capture and connecting source-of-truth systems — typical of organizations whose Excel-and-tribal-knowledge phase is overdue for an upgrade. The path-forward emphasizes foundational instrumentation before analytics flourishes.

This assessment evaluated 47 capabilities across 12 dimensions against the CivOps maturity framework. Evidence was drawn from uploaded documents, system signals, and structured interviews.

Where Magnolia Automotive · Lebanon TN Assembly wins · where it lags · what closes the gap · how the platform pays for itself in year one.
Capital efficiency
$1.5M
annual return projected
If the recommended uplifts land, Magnolia captures multi-million-dollar annualized return inside Year 1.
The platform's ROI model decomposes this across six levers — efficiency, quality, downtime, cycle, cost-of-quality, and one residual. The sensitivity slide later in this deck shows the range.
Voice of the executive sponsor

Bottleneck stations on L1 — X042 and X061 — are throttling the line, and the data we have is good enough to point at them but not good enough to fix them. We've been chasing this for 14 months.

— Marcus Whitfield
coo
02
Chapter 02

Where you stand

Capability scorecard against the 12-dimension framework, calibrated to your industry vertical and benchmarked against world-class peers.

Assessment validity

Every question is bound to a capability score

Validity is the closure between what we ask and what we score. Each instrument flows into the same 60-capability registry; coverage is auditable end-to-end.
Total questions
235
across 5 instruments
Capabilities backed by ≥ 1 question
42 / 47
89% of capability registry
Validity score
69%
question coverage × capability coverage
InstrumentTotal questionsBound to capabilitiesCoverageVisual
Detailed Systems Maturity1328061%
Readiness Screening201995%
Lean Site Assessment6060100%
Customer Discovery2020100%
Workforce Voice Survey33100%
6 capabilities not yet bound to a question: rc.correlation · sf.incident_capture · sf.audits · sf.loto · wc.cash_to_cash · wc.eoq
55
Section 02

Maturity radar — by dimension

0 = initial · 1 = managed · 2 = defined · 3 = measured · 4 = optimizing
1234Quality1.33OperationalOutput1.71ProcessOptimization1.50RootCause0.75Maintenance2.25Safety1.75SupplyChain1.67WorkingCapital1.00Warehouse /Distribution1.33HumanResources1.33IncomeManagement0.67FinancialData1.67
Mean maturity per dimension. The polygon's shape tells the story: a balanced shape means broad foundation; a spiky shape means localized strengths and unaddressed gaps.
Maturity position map

Position vs your automotive peers

Three overlays on one radar: your current state (filled), peer median (dashed), world-class (dotted). Each dimension below shows where you sit relative to peers — color-coded by position, not by ranking.
0
Above world-class
0
Top quartile
1
Above peer median
0
At peer median
11
Below peer median
Income ManagementOperational OutputProcess OptimizationWorking CapitalQualityRoot CauseMaintenanceSafetySupply ChainHuman ResourcesFinancial DataWarehouse / DistributionYour statePeer medianWorld-class
Per-dimension position
Income Management
Below peer median
Operational Output
Below peer median
Process Optimization
Below peer median
Working Capital
Below peer median
Quality
Below peer median
Root Cause
Below peer median
Maintenance
Above peer median
Safety
Below peer median
Supply Chain
Below peer median
Human Resources
Below peer median
Financial Data
Below peer median
Warehouse / Distribution
Below peer median
Tick marks on each track = peer 25th, median, 75th, world-class (p95). Filled marker = your position. No "Bottom Performer" ranking — manufacturing is multi-dimensional, peers vary.
Section 03

Dimension rollup — sorted by maturity

Each row sums every capability scored in that dimension
#DimensionMean maturityTop capabilityWeakest capabilityMaturity bar
1Maintenance2.25 / 4Work-order disciplinePredictive maintenance
2Safety1.75 / 4Audit cadenceLOTO discipline
3Operational Output1.71 / 4Industrial connectivityChangeover / SMED
4Supply Chain1.67 / 4Inventory healthDemand forecast accuracy
5Financial Data1.67 / 4Capitalized asset registerR&D tax-credit capture
6Process Optimization1.50 / 4Bottleneck identificationValue-stream maps
7Quality1.33 / 4Scrap cost Pareto by causeSPC control charts
8Warehouse / Distribution1.33 / 4Cycle count disciplineFork-truck utilization
9Human Resources1.33 / 4Training delivery + trackingEngagement measurement
10Working Capital1.00 / 4Inventory turnsEOQ optimization
11Root Cause0.75 / 4Statistical outlier detectionCorrelation analytics
12Income Management0.67 / 4Cost-to-serveActivity-based costing
Section 04

Capability landscape

Every capability mapped onto the 5-level maturity scale — heat shows where capabilities cluster
Capability landscape · how every capability maps onto the 5-level maturity scale
initialmanageddefinedmeasuredoptimizingQuality42Operational Output25Process Optimization22Root Cause13Maintenance112Safety211Supply Chain12Working Capital111Warehouse / Distribution12Human Resources21Income Management12Financial Data12
Each cell shows the count of capabilities whose maturity rolls up at that level. Heat tracks density.
Capability brief · QA

Quality

First-pass yield · statistical process control · cost of poor quality

Diagnose
5World-class
4Optimizing
3Measured
2Defined→
1ManagedNOW
0Initial
1.3
current
→ 2.3
12-mo target
Weakest capability
SPC control charts
"Q1 SPC summary: X̄-R charts maintained on 4 critical-to-quality dimensions for the BIW frame weld station. Charts are updated weekly by a QA tech in Excel; out-of-control rules not formally enforced."
Decide
Recommended path: Quality is engineered into the process, not inspected at the gate.
World-class signature
First-pass yield ≥ 99.5% · deviation cycle ≤ 72 hr · process capability ≥ 1.67 · Toyota, Eli Lilly, Procter & Gamble (Iams plant)
Capabilities scored (6)
First-pass yield trackingdefinedSPC control chartsmanagedProcess capability (Cpk)managedDeviation lifecyclemanagedScrap cost Pareto by causedefinedData governancemanaged
Deliver
Application areas
ProductionQualityProcurementSalesPlanningEngineeringLogisticsMaintenance
Expected yield (typical range)
+14%
throughput
-15%
cycle time
+12%
first-pass yield
Evaluation
ROIScaleSpeedEffort
Capability brief · OO

Operational Output

Throughput · Overall Equipment Effectiveness · reliability

Diagnose
5World-class
4Optimizing
3Measured→
2DefinedNOW
1Managed
0Initial
1.7
current
→ 2.7
12-mo target
Weakest capability
Changeover / SMED
""We track changeover time per SKU change, but the data lives in a clipboard the supervisor walks to maintenance. We have target times per product family — usually we hit ±15% without much analysis.""
Decide
Recommended path: Every machine, line, and shift contributes to a measurable, predictable output.
World-class signature
Plant-level Overall Equipment Effectiveness ≥ 85% · loss-reason 'other' ≤ 5% · changeover variance ≤ ±10% · Honda Marysville, Boeing 737 final assembly, Pfizer Kalamazoo
Capabilities scored (7)
OEE measurementdefinedThroughput trackingdefinedDowntime reason codingdefinedChangeover / SMEDmanagedEquipment utilizationdefinedData fabric maturitymanagedIndustrial connectivitydefined
Deliver
Application areas
ProductionQualityProcurementSalesPlanningEngineeringLogisticsMaintenance
Expected yield (typical range)
+14%
throughput
-15%
cycle time
+12%
first-pass yield
Evaluation
ROIScaleSpeedEffort
Capability brief · PO

Process Optimization

Flow · line balance · cycle time

Diagnose
5World-class
4Optimizing
3Measured→
2DefinedNOW
1Managed
0Initial
1.5
current
→ 2.5
12-mo target
Weakest capability
Value-stream maps
"Strategic VSM dated 2024-09 covers Lebanon end-to-end. Not refreshed in 18 months. Line-level VSMs not maintained."
Decide
Recommended path: The line balances itself; the bottleneck is named and solved within the day.
World-class signature
Station cycle ≤ takt + 5% · bottleneck dollarized · value-stream map refresh ≤ weekly · Toyota Georgetown, Magna Powertrain, Schneider Electric
Capabilities scored (4)
Value-stream mapsmanagedTakt + line balancedefinedBottleneck identificationdefinedWork-cell performancemanaged
Deliver
Application areas
ProductionQualityProcurementSalesPlanningEngineeringLogisticsMaintenance
Expected yield (typical range)
+14%
throughput
-15%
cycle time
+12%
first-pass yield
Evaluation
ROIScaleSpeedEffort
Capability brief · RC

Root Cause

Investigations · corrective and preventive action · learning loop

Diagnose
5World-class
4Optimizing
3Measured
2Defined→
1ManagedNOW
0Initial
0.8
current
→ 1.8
12-mo target
Weakest capability
Correlation analytics
"evidence light · scored from intake answers"
Decide
Recommended path: When something goes wrong, the system tells the team what caused it before they ask.
World-class signature
Time-to-action on top anomaly ≤ 1 shift · zero overdue corrective actions · effectiveness verified 100% · Eli Lilly, BMW Spartanburg, Genentech
Capabilities scored (4)
Structured investigationsmanagedCAPA lifecyclemanagedStatistical outlier detectio…managedCorrelation analyticsinitial
Deliver
Application areas
ProductionQualityProcurementSalesPlanningEngineeringLogisticsMaintenance
Expected yield (typical range)
+14%
throughput
-15%
cycle time
+12%
first-pass yield
Evaluation
ROIScaleSpeedEffort
Capability brief · MT

Maintenance

Preventive maintenance · mean time between failure · predictive readiness

Diagnose
5World-class
4Optimizing
3Measured→
2DefinedNOW
1Managed
0Initial
2.3
current
→ 3.0
12-mo target
Weakest capability
Predictive maintenance
""We do quarterly vibration spot-checks on the 30 most critical motors. We've talked about putting telemetry on them but the budget has been sitting in the queue for two years.""
Decide
Recommended path: Maintenance is condition-driven; the next failure is predicted, not discovered.
World-class signature
Preventive compliance ≥ 95% · breakdown rate down 30%+ year-over-year · documented predictive saves · Anheuser-Busch InBev, Chevron, Bridgestone Wilson
Capabilities scored (4)
PM compliancemeasuredMTBF / MTTRdefinedPredictive maintenancemanagedWork-order disciplinemeasured
Deliver
Application areas
ProductionQualityProcurementSalesPlanningEngineeringLogisticsMaintenance
Expected yield (typical range)
+13%
throughput
-14%
cycle time
+11%
first-pass yield
Evaluation
ROIScaleSpeedEffort
Capability brief · SF

Safety

Incidents · audits · regulatory compliance

Diagnose
5World-class
4Optimizing
3Measured→
2DefinedNOW
1Managed
0Initial
1.8
current
→ 2.8
12-mo target
Weakest capability
LOTO discipline
"LOTO procedures posted at every isolation point; signature sheets in use. Procedure docs live in DMS but execution is paper. RFID verification not deployed."
Decide
Recommended path: Safety is observable, real-time, and predictive; near-misses surface before incidents do.
World-class signature
Total recordable incident rate ≤ 0.8 · near-miss reporting rate ≥ 5× incidents · audit closure cycle ≤ 30 days · DuPont, ExxonMobil, Alcoa (legacy under O'Neill)
Capabilities scored (4)
Incident + near-miss capturedefinedAudit cadencemeasuredLOTO disciplinemanagedRegulatory compliance review…managed
Deliver
Application areas
ProductionQualityProcurementSalesPlanningEngineeringLogisticsMaintenance
Expected yield (typical range)
+14%
throughput
-15%
cycle time
+12%
first-pass yield
Evaluation
ROIScaleSpeedEffort
Capability brief · SC

Supply Chain

On-time-in-full · forecast accuracy · stockout prevention

Diagnose
5World-class
4Optimizing
3Measured→
2DefinedNOW
1Managed
0Initial
1.7
current
→ 2.7
12-mo target
Weakest capability
Demand forecast accuracy
""Forecast comes from the customer EDI release schedule, plus a planner's gut. We don't measure forecast accuracy — once the customer commits, we just run it.""
Decide
Recommended path: Demand is forecast accurately, supply pulls match, and customer commitments hold under stress.
World-class signature
On-time-in-full ≥ 98% on key customers · forecast mean absolute percentage error ≤ 15% · stockouts ≤ 0.5% · Walmart, Amazon, Procter & Gamble
Capabilities scored (3)
OTIF trackingdefinedDemand forecast accuracymanagedInventory healthdefined
Deliver
Application areas
ProductionQualityProcurementSalesPlanningEngineeringLogisticsMaintenance
Expected yield (typical range)
+14%
throughput
-15%
cycle time
+12%
first-pass yield
Evaluation
ROIScaleSpeedEffort
Capability brief · WC

Working Capital

Inventory · turns · cash conversion

Diagnose
5World-class
4Optimizing
3Measured
2Defined→
1ManagedNOW
0Initial
1.0
current
→ 2.0
12-mo target
Weakest capability
EOQ optimization
"evidence light · scored from intake answers"
Decide
Recommended path: Working capital flows through the operation; nothing waits without a reason.
World-class signature
Cash-to-cash ≤ 30 days · inventory turns vertical-leading · slow-mover alerts automatic · Apple, Dell, Walmart Supply Chain
Capabilities scored (3)
Cash-to-cash cyclemanagedInventory turnsdefinedEOQ optimizationinitial
Deliver
Application areas
ProductionQualityProcurementSalesPlanningEngineeringLogisticsMaintenance
Expected yield (typical range)
+14%
throughput
-15%
cycle time
+12%
first-pass yield
Evaluation
ROIScaleSpeedEffort
Capability brief · WD

Warehouse / Distribution

Pick accuracy · shipping integrity · fulfillment cycle

Diagnose
5World-class
4Optimizing
3Measured
2Defined→
1ManagedNOW
0Initial
1.3
current
→ 2.3
12-mo target
Weakest capability
Fork-truck utilization
"evidence light · scored from intake answers"
Decide
Recommended path: Pick accuracy and cycle counts hold above 99.5%; the warehouse runs itself.
World-class signature
Pick accuracy ≥ 99.5% · cycle count accuracy ≥ 99% · fork-truck utilization optimized · Amazon Fulfillment, UPS Worldport, FedEx Memphis
Capabilities scored (3)
Pick accuracydefinedCycle count disciplinedefinedFork-truck utilizationinitial
Deliver
Application areas
ProductionQualityProcurementSalesPlanningEngineeringLogisticsMaintenance
Expected yield (typical range)
+14%
throughput
-15%
cycle time
+12%
first-pass yield
Evaluation
ROIScaleSpeedEffort
Capability brief · HR

Human Resources

Skills · engagement · retention

Diagnose
5World-class
4Optimizing
3Measured
2Defined→
1ManagedNOW
0Initial
1.3
current
→ 2.3
12-mo target
Weakest capability
Engagement measurement
"Annual engagement survey conducted by external vendor. 2025 score 3.8/5; action plans built but quarterly progress is not visible to the floor."
Decide
Recommended path: The workforce is engaged, skilled, and stable; supervisors lead, they don't chase data.
World-class signature
Engagement ≥ 4.2 / 5 · turnover at ≤ 12% · training compliance ≥ 95% with outcome tracking · Costco, Toyota, Marriott
Capabilities scored (3)
Engagement measurementmanagedSkills + certification matri…managedTraining delivery + trackingdefined
Deliver
Application areas
ProductionQualityProcurementSalesPlanningEngineeringLogisticsMaintenance
Expected yield (typical range)
+14%
throughput
-15%
cycle time
+12%
first-pass yield
Evaluation
ROIScaleSpeedEffort
Capability brief · IM

Income Management

Margin · cost-to-serve · value capture

Diagnose
5World-class
4Optimizing
3Measured
2Defined→
1ManagedNOW
0Initial
0.7
current
→ 1.7
12-mo target
Weakest capability
Activity-based costing
"evidence light · scored from intake answers"
Decide
Recommended path: Margin is visible to the people who can move it, when they can move it.
World-class signature
Margin per stock-keeping unit available daily · cost-to-serve refresh ≤ monthly · channel-level pricing actions per quarter · Starbucks (channel margin discipline), Costco (private-label cost-of-serve)
Capabilities scored (3)
Gross margin by SKUmanagedCost-to-servemanagedActivity-based costinginitial
Deliver
Application areas
ProductionQualityProcurementSalesPlanningEngineeringLogisticsMaintenance
Expected yield (typical range)
+14%
throughput
-15%
cycle time
+12%
first-pass yield
Evaluation
ROIScaleSpeedEffort
Capability brief · FD

Financial Data

Cost-center variance · capital register · tax credit capture

Diagnose
5World-class
4Optimizing
3Measured→
2DefinedNOW
1Managed
0Initial
1.7
current
→ 2.7
12-mo target
Weakest capability
R&D tax-credit capture
""R&D tax credit? An external CPA does that for us once a year. We don't capture it operationally — they pull what they need from project files.""
Decide
Recommended path: Cost-center variance is closed in real time and capital is reconciled to the asset register continuously.
World-class signature
Cost-center variance refresh ≤ daily · asset-register drift ≤ 0.5% · research-and-development credit captured operationally · General Electric (legacy Six Sigma · cost discipline), Berkshire Hathaway operating companies
Capabilities scored (3)
Cost-center variance trackin…definedCapitalized asset registerdefinedR&D tax-credit capturemanaged
Deliver
Application areas
ProductionQualityProcurementSalesPlanningEngineeringLogisticsMaintenance
Expected yield (typical range)
+14%
throughput
-15%
cycle time
+12%
first-pass yield
Evaluation
ROIScaleSpeedEffort
04

Top strengths

Where the platform amplifies what's already working
01
Safety · measured

Audit cadence

42% confidence · 1 evidence row

"Layered process audits run weekly per shift across all stations. Findings tracked in Intelex through closure with auto-evidence capture. Last IATF surveillance audit: 2 minor findings, both closed within 30 days." — document

02
Maintenance · measured

Work-order discipline

48% confidence · 1 evidence row

"Work orders tracked end-to-end with KPIs (backlog, prioritization, mean cycle). Backlog stable at 60-80 WOs · cycle time 4.3 days avg." — system

03
Maintenance · measured

PM compliance

48% confidence · 1 evidence row

"Maximo runs PM scheduling for 1,400 assets across the 3 plants. Q1 PM compliance: 91.2% (target 90%). Asset-class rollup available; auto-escalate runs nightly for overdue PMs." — system

04
Operational Output · defined

Industrial connectivity

48% confidence · 1 evidence row

"OPC UA / MQTT broker (HiveMQ) deployed at Lebanon. Plex ↔ FactoryTalk Historian via point-to-point mappings. ESB for ERP↔MES is on the roadmap but not deployed. ~60% of OT signals are unified through the broker; the rest are direct PLC reads." — system

05
Financial Data · defined

Capitalized asset register

40% confidence · 1 evidence row

"Capitalized asset register lives in Oracle. Reconciled with Maximo CMMS quarterly. Drift between the two is typically 1-2% per cycle." — system

05

Top weaknesses

Where the next dollar of investment moves the needle most
01
Root Cause · initial

Correlation analytics

0% confidence · 0 evidence rows
02
Working Capital · initial

EOQ optimization

0% confidence · 0 evidence rows
03
Warehouse / Distribution · initial

Fork-truck utilization

0% confidence · 0 evidence rows
04
Income Management · initial

Activity-based costing

0% confidence · 0 evidence rows
05
Quality · managed

SPC control charts

35% confidence · 1 evidence row

"Q1 SPC summary: X̄-R charts maintained on 4 critical-to-quality dimensions for the BIW frame weld station. Charts are updated weekly by a QA tech in Excel; out-of-control rules not formally enforced." — document

Voice of leadership

What we heard from your executives

12 pull-quotes · sourced from discovery interviews
"
Bottleneck stations on L1 — X042 and X061 — are throttling the line, and the data we have is good enough to point at them but not good enough to fix them. We've been chasing this for 14 months.
— Marcus Whitfield · coo
weakness
"
We need to be the platform supplier of choice for the next generation of EV body-in-white. That means OEE in the high 80s, FPY north of 99%, and a planning loop that closes inside one shift.
— Marcus Whitfield · coo
opportunity
"
Our deviation cycle time is 11 days average. That's 11 days where we're shipping product without a closed-out root cause. The customer notices.
— Andrea Caldwell · vp-quality
risk
"
Statistical outlier detection. If the system flagged the top-2 anomalies on every line every shift, my team's day would be transformed.
— Andrea Caldwell · vp-quality
opportunity
"
I spend three hours a day in spreadsheets. The data is in Plex but my supervisors and I rebuild the same view manually every morning.
— Tomas Reyes · operations-director
weakness
"
Big changes work when the supervisor network is bought in early. Other times we've had top-down rollouts that stalled at 50% adoption.
— Tomas Reyes · operations-director
concern
03
Chapter 03

Risk and governance

Compliance posture, implementation risks, accountability and the cadence that keeps the engagement on track.

Compliance

Vertical compliance gap rollup

9 applicable standards · 0% covered · 100% covered or in-motion
0
covered
9
partial
0
gap
1
not applicable
IDStandardAuthorityStatusNote
IATF16949IATF 16949 — Automotive QMSIATFpartialStatus awaits a documented gathering pass against the standard.
VDA-6.3VDA 6.3 — Process auditVDApartialStatus awaits a documented gathering pass against the standard.
AIAG-PPAPAIAG PPAP — Production Part Approval ProcessAIAGpartialStatus awaits a documented gathering pass against the standard.
AIAG-FMEAAIAG-VDA FMEA — Failure Mode Effects AnalysisAIAG/VDApartialStatus awaits a documented gathering pass against the standard.
ISO-14001ISO 14001 — Environmental ManagementISOpartialStatus awaits a documented gathering pass against the standard.
ISO-45001ISO 45001 — Occupational Health & SafetyISOpartialStatus awaits a documented gathering pass against the standard.
FMVSSFMVSS — Federal Motor Vehicle Safety StandardsNHTSApartialStatus awaits a documented gathering pass against the standard.
ISO-9001ISO 9001 — Quality Management SystemISOn/aSuperseded by IATF 16949 for automotive suppliers.
OSHA-1910OSHA 29 CFR 1910 — General Industry safetyOSHApartialConfirm safety incident reporting cadence + lockout/tagout audit posture.
SOC2SOC 2 — Trust Services CriteriaAICPApartialCustomer's own controls reviewed alongside CivOps's SOC 2 readiness pack.
Risk register

Implementation risks · mitigations · owners

8 risks · ranked by heat (likelihood × impact)
RiskCategoryHeatLikelihoodImpactMitigationOwner
Data-fabric ownership gap stalls cross-system value
CIO confirmed Plex / FactoryTalk / Snowflake are unconnected. Without a unified semantic layer, cross-domain analytics (scrap ↔ cost-to-serve ↔ OTIF) stays manual.
data80almost-certainmajorPhase 1 deliverable: stand up CivOps data fabric across Plex, FactoryTalk, Snowflake, Maximo, Cornerstone. Named owner: IT/OT lead (TBD by Owen Brennan within 2 weeks of kickoff).Owen Brennan · CIO
Tier-1 customer EDI continuity during cutover
Nissan CMMS3 / Toyota TMC / Stellantis Power penalize an EDI gap. Cutover without dual-write window risks chargebacks; Stellantis is already at 92.1% OTIF (below 94% chargeback threshold).
supplier64likelymajorReplacement-ladder dual-write pattern (passive_read → shadow_write → dual_write → primary). Hold dual_write for 14 days minimum. Stellantis paint-batch sequencing fix lands in Phase 1.Veronica Stinson · VP Supply Chain
Bottleneck stations X042 + X061 cap Year-1 ROI
Door-aperture (X042) and rear-quarter weld (X061) consistently 2-3s over takt. Without rebalance, OEE upside on L1 is capped at ~3% regardless of platform deployment.
process64likelymajorPhase 1 includes a SMED + rebalance kaizen led by the production team using the platform's bottleneck-id auto-Pareto. Target: cycle ≤ 31.5s by week 6.Tomas Reyes · Production Manager
Change-management drag at 1,250 headcount
Multi-shift, multi-site rollouts depend on supervisor enrollment + structured 30/60/90 cadence. Without a champion network, adoption stalls at 40-50% based on the production manager's prior-rollout testimony.
people64likelymajorRACI-driven champion network (~25 supervisors) · weekly steerco · adoption KPI on the platform's value-attribution ledger. HR director (Rosa de Guzman) is co-owner.Marcus Whitfield · COO (sponsor)
IATF 16949 audit posture during transition
Process changes during instrumentation cutover require a layered process audit refresh. An interim period without consistent records creates audit risk at the next surveillance audit (Q3-2026).
regulatory48possiblemajorPre-stage audit artifacts in the CivOps compliance pack · maintain dual-record period for 30 days · IATF lead auditor (Tomas Reyes) reviews evidence weekly during cutover.Andrea Caldwell · VP Quality
Line-balance disturbance during deployment
Walk-through-balanced lines (92 stations · 31s takt) lose ~2-3% throughput during instrumented cutover unless rebalanced. Bottlenecks already at X042 / X061; instrumentation may extend cycle by 0.4-0.6s.
process36possiblemoderateRun pre-cutover line-balance simulation in the CivOps flow engine · rebalance bottleneck stations BEFORE instrumenting · operators trained on the new HMI before live data goes through.Tomas Reyes · Production Manager
Statistical outlier engine adoption resistance
QA team is spreadsheet-driven and skeptical of automated anomaly detection. Without trust-building, the auto-flag becomes noise that gets ignored.
people36possiblemoderateRun shadow-mode for 4 weeks (alerts captured but not auto-routed). Compare to QA team's findings. Switch to live mode only after agreement on signal quality.Andrea Caldwell · VP Quality
$6M Capex envelope discipline
CFO has $6M committed for 2026 digital ops. Scope creep past the SOW erodes payback math; CFO won't approve scope changes without business case re-validation.
financial36possiblemoderateScope-change is a change-order with refreshed payback model. Monthly business review with CFO is the gate.Janelle Murray · CFO
Accountability

RACI matrix · change-management cadence

8 initiatives · 10 roles · cadence below
Initiative · phaseMarcus Whitfield · COO (Exec sponsor)Andrea Caldwell · VP QualityTomas Reyes · Production ManagerDevon Saraphan · Maintenance ManagerVeronica Stinson · VP Supply ChainOwen Brennan · CIOJanelle Murray · CFORosa de Guzman · HR DirectorSite managers (Lebanon · Smyrna · Decatur)CivOps delivery lead
Engagement kickoff + scope alignment
Phase 1 · Stabilize
ACCCCRIICR
System-of-record connections (Plex · FactoryTalk · Maximo · Snowflake · Cornerstone)
Phase 1 · Stabilize
ICCCCAIIIR
Bottleneck rebalance · Lebanon L1 X042 + X061
Phase 1 · Stabilize
ACRCIIIIRC
Capability scoring + report sign-off
Phase 1 · Stabilize
ACCIICCIIR
Statistical outlier engine · shadow → live
Phase 2 · Instrument
IARIICIIIR
Predictive maintenance enablement · 30 critical motors
Phase 3 · Optimize
IICAIRIIIR
Change management + champion network (~25 supervisors)
Always-on
AICIIIIRRC
Value-attribution ledger reconciliation (CFO close)
Always-on
CCCIICAIIR
Daily standup · daily
Tomas Reyes · CivOps delivery lead · IT/OT lead
Kill blockers within 24h
Weekly project review · weekly
Engagement leads · function leads · CivOps
Phase progress · risk register review
Biweekly steerco · biweekly
Marcus Whitfield · Janelle Murray · Andrea Caldwell · Owen Brennan · Veronica Stinson · CivOps
Decisions · scope · go/no-go gates
Monthly business review · monthly
Marcus Whitfield · Janelle Murray · Engagement leads · CivOps
Value-attribution close · forecast vs actual
Quarterly business review · quarterly
Marcus Whitfield · CEO · executive team · CivOps
Year-1 commit tracking · expansion roadmap (Smyrna + Decatur)
Visual evidence

Selected photographs · floor + system observations

8 images captured · top 9 shown
lebanon-line-l1-station-x042-andon.svg
po.takt_balance
lebanon-line-l1-station-x042-andon.svg
lebanon-vsm-board-as-found.svg
po.value_stream
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04
Chapter 04

Path forward

Three-phase roadmap, concrete solution architecture per gap, and the partner ecosystem behind every move.

06

Path forward — three-phase roadmap

Tailored to Magnolia Automotive · Lebanon TN Assembly's scope
P1
Phase 1 · Stabilize
Week 1-6 · Foundation
  • Correlation analyticsRoot Cause · initial → measured
  • EOQ optimizationWorking Capital · initial → measured
P2
Phase 2 · Instrument
Week 7-16 · Measurement
  • Fork-truck utilizationWarehouse / Distribution · initial → measured
  • Activity-based costingIncome Management · initial → measured
P3
Phase 3 · Optimize
Week 17+ · Analytics
  • SPC control chartsQuality · managed → measured
Plant manager · first 30 days

Monday week 1 · the supervisor logs in here

Concrete week-by-week deployment plan tailored to Magnolia Automotive · Lebanon TN Assembly's three weakest capability areas
Week 1
Stand up the operations cadence
  • Monday
    Engagement-lead + plant-manager kickoff — walk the engagement scorecard together · agree the 3 dimensions we'll push first.
  • Tuesday
    Provision the platform tenant for Magnolia Automotive · Lebanon TN Assembly (mode flip from assessment → live) · supervisors get login emails by end of day.
  • Wednesday
    First operator group at the kiosk · daily start-of-shift huddle migrates from clipboards to the platform's SQDIP board.
  • Thursday
    Focus area #1 · Correlation analytics: pull the relevant tags from your historian + name the daily owner.
  • Friday
    First weekly review with the executive sponsor — five-slide deck pulled directly from the platform, no PowerPoint hand-build.
Week 2
Instrument the floor
  • Monday
    OT-network read of the first PLC — Ignition / OPC UA / MQTT connector verified · first tag streaming to the fabric.
  • Tuesday
    Focus area #2 · EOQ optimization: stand up the first per-shift roll-up dashboard.
  • Wednesday
    Layered process audits — replace paper rounds with the platform's mobile audit flow · first supervisor's audit goes live.
  • Thursday
    Maintenance backlog: top-25 open work orders imported · PM compliance baseline locked.
  • Friday
    Second weekly review — leadership sees actual customer data on the SQDIP board, not screenshots from a slide deck.
Week 3
Voice + visibility
  • Monday
    Focus area #3 · Fork-truck utilization: stand up the first capability scorecard.
  • Tuesday
    Quality: first deviation flowed end-to-end inside the platform · CAPA bound to the deviation · audit trail visible to the QA lead.
  • Wednesday
    Stakeholder survey results review — silo divergence + perceptual gaps presented to the leadership team.
  • Thursday
    First Force-OT pass (workforce optimizer) — the platform proposes the next coverage move; supervisor confirms; everyone sees the rationale.
  • Friday
    Third weekly review — first dollar-sized loss area surfaced from the customer's actual data.
Week 4
Lock in the loop
  • Monday
    Layered audits running on every shift · daily action board surfaces the top-3 things to look at first.
  • Tuesday
    First closed-loop CAPA — deviation → root-cause → corrective action → effectiveness verification — all inside the platform.
  • Wednesday
    Calibration + training schedules pulled into the platform · expiry alerts active.
  • Thursday
    Executive sponsor walkthrough of the live Master Control Center — what changed in 30 days · what changes next.
  • Friday
    Phase-1 retrospective: which 3 dimensions moved fastest · which need a different intervention · what does Phase-2 commit to.
This is the plant-manager's pocket plan — concrete enough to walk into the first shift meeting and tell every supervisor exactly where their day starts. Each step ties back to the engagement scorecard's prioritized dimensions; nothing on this slide is generic.
Connectivity

Digital subsystems · vendor map · driver readiness

Every business and operational system in scope — current vendor, utilization, support model, migration plan, and the CivOps adapter that connects it on Day-1.
Tools deployed
20
  • 18 with CivOps driver pre-selected
  • 2 pending driver assignment
Migrations planned
5
  • Replacement-ladder cutover sequence
  • Dual-write window 14 days minimum
Utilization · weighted avg
7.0/ 10
  • Customer self-reported
  • Bottlenecks where utilization < 5
SystemVendorUtilSupportMigrationDriverOwner
ERP
Enterprise Resource Planning
Plex (production) + Oracle (finance)
7		External
· Wipro
—plex-erpOwen Brennan
FMS
Financial Management Software
Oracle Hyperion + PeopleSoft
9		Internal—oracle-financialsJanelle Murray
CMMS
Computerized Maintenance Management System
IBM Maximo
8		Internal
· Avnet (Rockwell channel partner)
—maximoDevon Saraphan
CRM
Customer Relationship Management System
Salesforce
8		Internal—salesforceVeronica Stinson
HRIS
Human Resource Information System
Workday HCM
8		Internal—workday-hcmRosa de Guzman
LIMS
Laboratory Information Management System
(not deployed)
0		Internal——unassigned
SMS
Safety Management System
Intelex EHS
8		Internal—intelexCalvin Merrick
WMS
Warehouse Management System
Manhattan WMS
8		Internal—manhattan-wmsOwen Brennan
LMS
Learning Management System
Cornerstone LMS
7		Internal—cornerstoneRosa de Guzman
MES
Manufacturing Execution System
Plex shop-floor module
5		External
· Wipro
YES
→ Apriso (Dassault)
2027-01-01
aprisoTomas Reyes
PLM/CAD
Product Lifecycle Management System/Computer Aided Design
PTC Windchill + Creo
7		Internal—windchillEngineering team
QCMS
Quality Control Management System
ETQ Reliance
7		Internal—etqAndrea Caldwell
RCA
Root Cause Analysis
ETQ + 8D template (Word)
4		Internal——Andrea Caldwell
Scada
Supervisory Control and Data Acquisition software
Rockwell FactoryTalk SE (Lebanon) + Wonderware (Smyrna) + Ignition (Decatur)
7		External
· Avnet (Rockwell)
YES
→ Standardize on Ignition by 2027
2027-06-01
rockwell-factorytalkOT team
HMI/PLC
Programmable Logic Controller/Human Machine Interface
Allen-Bradley primary · Siemens (Smyrna) · Mitsubishi (welds)
8		External
· Avnet
—rockwell-allen-bradleyControls eng team
Robots/Cobots
Automated welding
ABB (Lebanon weld) · Fanuc (Decatur paint)
8		External
· ABB Robotics service
—abbTomas Reyes
AMRs/AGVs
Automated material movement
MiR (pilot)
1		External
· Bastian Solutions
YES
→ MiR fleet for raw-material delivery to L1
2026-09-01
mirTomas Reyes
Vision
Vision
Cognex (weld inspection)
7		Internal—cognexQA / OT team
AR
Hololens
(not deployed)
0		Internal——unassigned
Andon
How to manage Andon lights - AME?
Custom (PLC-driven andon columns)
6		Internal——OT team
Historian
Time-series Historian
FactoryTalk Historian (Lebanon) · PI (Smyrna)
7		External
· Avnet
—factorytalk-historianOT team
ESB
Enterprise Service Bus / iPaaS
MuleSoft (under POC)
0		External
· Slalom
YES
→ MuleSoft for ERP↔MES↔Snowflake
2026-12-01
mulesoftOwen Brennan
DW
Data Warehouse / Lakehouse
Snowflake
7		External
· Slalom
—snowflakeOwen Brennan
BI
Business Intelligence / Reporting
Tableau · Power BI · Cognos · Plex reports
4		Internal
· Slalom
YES
→ Standardize on one BI platform under platform deployment
2026-09-01
tableauOwen Brennan
2 systems planned · driver pre-allocation reserved.
Readiness screening

Voice of customer · current system · current technology

Each focus area scored on three axes (1=low / 5=mid / 10=high). High voice-of-customer paired with low system or tech = where investment moves the needle most.
Voice of customer (VOC)
How critical this is to the business and customer
Current system
How well the business process / system supports the need
Current technology
How well the deployed tech enables the process
#Focus areaVOCSystemTechGapNotes
7Supply Chain
Strategy
1051+9Lot traceability exists for IATF audit but is reactive — no real-time genealogy.
13Manufacturing / Lean / Value Stream
Process / Infrastructure
1015+9Layout reasonable but takt mis-balance at X042 / X061. No time-study program.
14Performance & Quality Management
Process / Infrastructure
1051+9Performance data is late + manual. No real-time visibility for plant managers.
1Accounting / Scheduling
Business Systems
1055+5Plex is well-implemented but not integrated to MES/SCADA. Big add-on opportunity
3Reporting
Business Systems
511+411 BI tools; no self-service for plant managers. Critical gap.
5Manufacturing / Lean / Value Stream
Strategy
551+4Strategic VSM dated 2024; not refreshed in 18 months. No data-driven VSM.
6Quality & Project Management
Strategy
511+4Quality is mostly manual. ETQ for CAPA; no formal QMS-to-line linkage.
10Supply Chain
Process / Infrastructure
515+4Inventory tracked at category level. WIP not real-time. Auto-reorder on fastener
15Accounting / Scheduling
Operations
511+4Scheduling reactive to OEM EDI. Stellantis paint-batch sequencing causes OTIF ga
18Performance & Quality Management, Lean
Operations
515+4Vision systems on weld cells; poke-yoke on a subset of stations.
20Maintenance
Operations
511+4Reactive maintenance dominates. No PdM program; vibration spot-checks only.
2IT / Cybersecurity
Business Systems
5105+0OT/IT separation in place; firewall + MFA. CISO-led program.
4Mgmt.
Strategy
555+0Marcus Whitfield is an active exec sponsor. $6M committed.
8Workforce
Strategy
555+0Cornerstone LMS · 88% compliance · annual engagement survey. Real-time pulse mis
Sorted by gap (VOC − min(system, tech)). 4 focus-area categories covered. Top 14 of 20 shown.
Detailed systems maturity

132 contextualized digital tools · scored on a 0-5 ladder

Each tool is weighted by Return × Complexity. Quick wins = high-return × low-complexity gaps. Must-do investments = high-return × high-complexity gaps.
Total attributes
132
Coverage scored
0
0% of catalog
Quick wins
0
high return · low complexity
Must-do investments
0
high return · high complexity
Business focus areaCatalogScoredCoverageMean scoreMean weightQuick winsMust-do
Financial Data90
—2.4400
Human Resource Analysis110
—2.0900
Income Management110
—1.7000
Supply Chain Analysis80
—1.6600
Process Optimization90
—1.4700
Maintenance150
—1.4500
Safety Compliance100
—1.3800
Working Capital Management120
—1.3500
Warehouse and Distribution80
—1.3100
Operational Output110
—1.3000
Quality170
—1.2900
Root Cause Analysis110
—0.9300
Lean site assessment

Lean program maturity · category-by-category

Industry-standard lean rubric (1 = poor · 2 = fair · 3 = good · 4 = strong · 5 = world class). Mean score and category contribution against best-possible.
Overall lean score
0.00 / 5
0% of best-possible
Categories
6
industry-standard taxonomy
Total items
60
0 scored (0%)
Strong categories
0
at "strong" or above
Lean program · category radar (current vs world-class target)
12345Lean Leadership/ Culture0.00Tools/Methods0.00Inventory0.00CommunicationTools0.00QualityPrograms0.00Employees0.00
Solid cyan polygon = current state · dashed green ring = world-class target (4.5 / 5).
CategoryMean%Visual
Lean Leadership / Culture
9 items
—0%
Tools/Methods
28 items
—0%
Inventory
2 items
—0%
Communication Tools
6 items
—0%
Quality Programs
8 items
—0%
Employees
7 items
—0%
Workforce voice · value creation

What the workforce and leadership prioritize

Goal priority ranking, individual stakeholder surveys, and tactical / strategic value-creation drivers ranked by the leadership team.
Workforce voice · ranked priorities (weighted by stakeholder votes)
01345Increase throughput5Margin expansion5Improve operational stability3Resilience (supply / workforce / regulatory)3Improve quality / FPY1Customer experience / NPS1
Cyan = tactical priority · violet = strategic priority. Score weights top-rank votes (1st = 5pt · 2nd = 3pt · 3rd = 1pt).
Tactical priorities
  1. Increase throughput
  2. Improve operational stability
  3. Improve quality / FPY
  4. Reduce unplanned downtime
  5. Reduce waste / loss
Strategic priorities
  1. Margin expansion
  2. Resilience (supply / workforce / regulatory)
  3. Customer experience / NPS
  4. Asset reliability
Goal priority ranking
HIGHEST: Increase Throughput. SECOND: Reduce Cost. LOWER: Increase Sustainability, Improve Quality (already a top quartile), Increase Flexibility (mid-priority).
"Blank check" — what they'd invest in
Real-time data fabric across Plex / FactoryTalk / Maximo / Snowflake + statistical outlier engine on every line every shift + bottleneck-resolution playbook auto-pushed to supervisors. Replaces ~3 hours/day of supervisor spreadsheet wrangling.
Top pain areas surfaced by the workforce
1) X042 + X061 bottlenecks on L1 (14 months chasing). 2) 11-day deviation cycle (Andrea). 3) 11 BI tools no self-service (Owen). 4) Stellantis OTIF chargeback exposure (Veronica). 5) PM compliance up but breakdown rate flat (Devon).
3 individual stakeholder survey responses captured · Marcus Whitfield (COO) · Andrea Caldwell (VP Quality) · Owen Brennan (CIO)
Process map

Suppliers · Inputs · Process · Outputs · Customers

End-to-end value-stream context grounded in the customer's own description of their operation.
Suppliers
    Inputs
      Process steps
        Outputs
          Customers
            Management flow context
            Major raw materials / suppliersArcelorMittal (steel) · Nippon Steel · Magna components · Brose (latches) · Adient (seat structures) · TS Tech (interior trim)
            Area / Function 1Stamping (Smyrna BIW)
            Area / Function 2Body-in-white welding (Lebanon L1 + L2 · 92 stations · 31s takt)
            Area / Function 3Sub-assembly (Lebanon L3 · door rings · cradle stampings)
            Area / Function 4Paint + finish (Decatur AL)
            Area / Function 5Finished-goods staging + outbound (all 3 sites)
            Primary customers / typesNissan Smyrna · Toyota Princeton · Stellantis Toledo (Tier-1 BIW + sub-assemblies)
            Shipping / outbound notesJIT to Nissan (8-hr lead) · Toyota (12-hr) · Stellantis (24-hr). Cross-dock at Lebanon for finished BIW.
            Inventory points (raw / WIP / finished)Raw 14.1 turns · WIP 26 · finished 8.4. Slow-mover dispositioning manual.
            Areas where time-study would unlock valueX042 (door-aperture weld) · X061 (rear-quarter weld) · paint-batch sequencing handoff at Decatur. These are the candidates for Khenda-style time studies.
            Engagement qualifier

            Fit criteria score · pre-visit posture

            The 10-criterion fit score gates whether the engagement is ready to proceed; the pre-visit checklist confirms what the customer sent before kickoff.
            Fit total
            37/ 46
            GOOD FIT
            80% of best-possible · band: <20 caution · 20-29 hesitate · 30-40 good · 40+ ideal
            Pre-visit information
            11/ 27
            41% RECEIVED
            kpis · plant layout · org chart · capex strategy · etc.
            #CriterionScoreMax
            1Active executive champion55
            2Initiative has committed owner w metrics55
            3Approved / funding allocated55
            4Urgency/reason to act510
            5Competition23
            6Aligns with our company strategy23
            7Scope33
            8Quality of relationship35
            9Improvement culture33
            10Technology44
            Pre-visit information request✓
            High level KPIs – a monthly/rolling 12 KPI report would …✓
            Key macro production indicators for finished goods / uni…✓
            Finished goods produced and raw material by sku✓
            Production time – days producing, # shifts, any partial …✓
            Labor numbers – ideally both direct and indirect labor t…✓
            Rate losses (comparison of running rates vs target)·
            Quality losses (% output shippable first time through vs…✓
            Unplanned downtime - % time equipment down and/or work p…✓
            Conversion losses – average scrap and waste rates✓
            Setup/changeover loss information✓
            Average cycle time – takt time, average time from beginn…✓
            Average active part numbers regularly produced✓
            Any known areas of focus – e.g. critical operation, high…·
            Process maps at work cell / value stream level (less use…·
            + 13 more in the full checklist
            Solution architecture

            How the platform solves each gap

            Every weakness gets a concrete solution stack — CivOps module, partner adapter, and the metric that proves it worked
            Root Cause · Phase 2 · Instrument
            Correlation analytics
            Correlation Analytics Engine
            Cross-domain correlation: scrap ↔ lot ↔ operator ↔ machine ↔ supplier. Embedded engine returns ranked correlations in seconds; suggested causal hypotheses surfaced.
            Success metric: Quarterly deep-dive analysis becomes a same-day query; recurring causes auto-flagged.
            Effort
            standard
            Time-to-value
            1-2 quarters
            Impact band
            $500K-$1.5M/yr
            Partner stack (2)
            CivOps Manufacturing PlatformnativeThinkIQaligned
            Working Capital · Phase 2 · Instrument
            EOQ optimization
            Capability uplift program
            Capability moves toward the world-class signature through a curated solution stack. Detailed implementation plan finalized during Phase-1 kickoff.
            Success metric: Capability moves from current level to 'measured' as documented in the engagement scorecard.
            Effort
            standard
            Time-to-value
            1-2 quarters
            Impact band
            $150K-$500K/yr
            Partner stack (0)
            Warehouse / Distribution · Phase 2 · Instrument
            Fork-truck utilization
            Capability uplift program
            Capability moves toward the world-class signature through a curated solution stack. Detailed implementation plan finalized during Phase-1 kickoff.
            Success metric: Capability moves from current level to 'measured' as documented in the engagement scorecard.
            Effort
            standard
            Time-to-value
            1-2 quarters
            Impact band
            $150K-$500K/yr
            Partner stack (0)
            Income Management · Phase 2 · Instrument
            Activity-based costing
            Capability uplift program
            Capability moves toward the world-class signature through a curated solution stack. Detailed implementation plan finalized during Phase-1 kickoff.
            Success metric: Capability moves from current level to 'measured' as documented in the engagement scorecard.
            Effort
            standard
            Time-to-value
            1-2 quarters
            Impact band
            $150K-$500K/yr
            Partner stack (0)
            Quality · Phase 1 · Stabilize
            SPC control charts
            Statistical Process Control Engine · with anomaly routing
            Replace paper / Excel charts with continuous X̄-R, exponentially-weighted moving average, and Western-Electric rules computed from the historian. Out-of-control signals route to the right operator within 60 seconds with a triage card.
            Success metric: Time-to-detect of an out-of-control event drops from hours to minutes; documented response on every signal.
            Effort
            rapid-start
            Time-to-value
            weeks
            Impact band
            $150K-$500K/yr
            Partner stack (4)
            CivOps Manufacturing PlatformnativeCognexpreferredMatroidcommercialPlainsightcommercial
            Ecosystem

            Technology partner ecosystem

            140 curated partners across 30 categories · CivOps-native, aligned, preferred adapters, and commercial alternatives
            2
            CivOps-native
            6
            CivOps-aligned
            31
            Preferred adapters
            95
            Commercial alternatives
            6
            Open-source
            ops intelligence
            172n4a
            erp
            133p
            mes
            124p
            vision
            121p
            bi analytics
            101n2p
            cmms
            82p
            plc hmi
            82p
            rca quality ai
            71a
            esb ipaas
            71a1p
            robots cobots
            72p
            ot cyber
            71p
            scada
            61a3p
            no code mfg apps
            61a
            pdm
            61a
            data warehouse
            62p
            historian
            51a4p
            andon
            5
            hris
            51p
            CivOps-native = built into the platform · Aligned = strategic integration partner · Preferred = drop-in adapter · Commercial = known alternative customers consider · OSS = open-source path. The platform delivers the bundled outcome at one price; the alternatives column is honest disclosure.
            Partner deep dive

            Curated technology partners · category by category

            Where CivOps has direct integrations, where it amplifies an aligned partner, and where it displaces a commercial alternative.
            platform suite 2 partners
            CivOps Manufacturing PlatformCivOps Digital Framework for Operations
            ops intelligence 17 partners
            CivOps Manufacturing PlatformCivOps Digital Framework for OperationsThinkIQHighByte Intelligence HubInductive IgnitionSurgereMachineMetrics+10 more
            data warehouse 6 partners
            SnowflakeDatabricksInformaticaAWS RedshiftGoogle BigQueryAzure Synapse
            bi analytics 10 partners
            CivOps Manufacturing PlatformTableauMicrosoft Power BIMagic FactoryEyeAdvantech WISE-IoT (iFactory)Looker (Google)Qlik Sense+3 more
            esb ipaas 7 partners
            HighByte Intelligence HubMuleSoftLitmusMaestroHub (Inductive Automation)BoomiInformaticaTIBCO
            scada 6 partners
            Inductive IgnitionWonderware MES (AVEVA)Rockwell FactoryTalk View / HistorianAVEVA System Platform (Wonderware)GE iFIXSiemens WinCC
            historian 5 partners
            Inductive IgnitionWonderware MES (AVEVA)Rockwell FactoryTalk View / HistorianAVEVA System Platform (Wonderware)AVEVA PI System (OSIsoft)
            mes 12 partners
            Plex (Rockwell)Dassault AprisoWonderware MES (AVEVA)Rockwell FactoryTalk ProductionCentreIQMS (DELMIAworks)RobexSiemens Opcenter+5 more
            cmms 8 partners
            IBM MaximoFiix (Rockwell)UpKeepeMaint (Fluke)Infor EAMiFactory / iEMS (Advantech WISE-IoT)Advantech WISE-IoT (iFactory)+1 more
            pdm 6 partners
            AuguryAsystomPetasensePDX (Pdm Excellence)DeltaBravoPHM Technology
            qcms 4 partners
            ETQ RelianceMasterControlVeeva QualityTrackWise (Sparta)
            rca quality ai 7 partners
            ThinkIQMatroidPlainsightDetect-ItTristarTapRooTSologic
            vision 12 partners
            CognexMatroidPlainsightDetect-ItRetrocausalInvisible AIDrishti+5 more
            time study mocap 4 partners
            KhendaRetrocausalInvisible AIDrishti
            ot cyber 7 partners
            DragosClarotyNozomi NetworksTenable OT SecurityDynics / Veracity Industrial NetworksPateroAdvantech
            andon 5 partners
            TulipTulip AndonAndon CloudFactbirdAME (Andon Management)
            140 partners total across 30 categories. Color-coded by CivOps relationship: cyan = native, light cyan = aligned, green = preferred adapter, amber = commercial alternative, slate = open-source. Hover any chip in the live deck for the partner's "best for" line.
            Alternatives

            Commercial alternatives by gap

            What you'd evaluate buying separately if not for the platform — honest disclosure
            Capability gapDimensionWhat you'd evaluate
            Correlation analytics
            initial
            		Root Cause
            CivOps Manufacturing Platform nativeThinkIQ aligned
            SPC control charts
            managed
            		Quality
            CivOps Manufacturing Platform nativeCognex preferredMatroid commercialPlainsight commercialDetect-It commercial
            Each row is one capability gap with the curated commercial + CivOps-aligned candidates a customer would otherwise evaluate. The platform delivers the same outcome bundled — one license, one data layer, one report.
            05
            Chapter 05

            Investment and economics

            Cost-of-poor-quality decomposition, return decomposition, sensitivity range and Year-1 economics.

            Cost of poor quality

            Where the dollars actually go

            Magnolia Automotive · Lebanon TN Assembly's revenue is eroded by six identifiable loss areas before it lands as realized contribution
            Annual revenue · loss decomposition · realized contribution
            $418.0MRevenue(annual)starting point$-33.4MRate loss8.0%$-25.1MUnplanneddowntime6.0%$-13.4MQuality loss3.2%$-8.8MConversion /scrap2.1%$-13.8MOvertimeoverrun11.0% of labor$323.5MRealizedcontributionafter all losses
            Each subtraction is a measurable, addressable loss area. The platform makes every loss visible, attributable, and actionable — closing the gap between revenue and realized contribution is what the path-forward roadmap is engineered for.
            07

            ROI projection — annual

            Coarse model · 3 facilities · automotive
            $1,546,404 per year
            OEE uplift
            $463,921
            Scrap reduction
            $340,209
            Downtime → PdM
            $278,353
            Cycle / takt fit
            $216,497
            Cost-of-quality
            $154,640
            Other
            $92,784
            Lever shares are illustrative typical-customer splits; actual breakdown converges as system data lights up. This figure excludes one-time stabilization gains and avoided customer-loss events. Maximum lever bar = $1,546,404.
            Sensitivity

            Return-on-investment tornado

            Each lever's range from worst-case to best-case · ranked by spread
            Return-on-investment sensitivity · lever-by-lever
            $0$162K$325K$487K$649KOEE uplift$278K$649KScrap reduction$170K$510KDowntime → PdM$139K$390KCycle / takt fit$152K$281KCost-of-quality$93K$216KOther$65K$121K
            Levers near the top have the widest sensitivity — they're where execution discipline matters most. The CFO's defense of the business case lives in the spread.
            ROI sensitivity

            Best case · likely case · worst case

            What changes between cases — and what you can do about it
            Worst case
            $992,002
            payback: 6mo

            Adoption stalls at supervisor level; only OEE-uplift and scrap levers carry through. Downtime/PdM benefits realize in Year 2 instead of Year 1.

            Likely case
            $1,546,404
            payback: 4mo

            Phase-1 stabilizes the foundation; Phase-2 instrumentation lights up the ROI levers as planned. Adoption hits the 60-70% target by Q2.

            Best case
            $2,525,245
            payback: 3mo

            Strong executive sponsorship + champion network drives 80%+ adoption. Predictive maintenance lights up early; Cost-of-Quality and OEE levers compound.

            LeverLow (×)High (×)Low ($)High ($)
            OEE uplift0.601.40$278,353$649,490
            Scrap reduction0.501.50$170,104$510,313
            Downtime → PdM0.501.40$139,176$389,694
            Cycle / takt fit0.701.30$151,548$281,446
            Cost-of-quality0.601.40$92,784$216,497
            Other0.701.30$64,949$120,620
            Cash-flow

            36-month cumulative cash position · worst / likely / best fan

            Magnolia Automotive · Lebanon TN Assembly · investment ramp + benefit ramp + payback intersection per scenario
            $-135K$1364K$2863K$4363K$5862Kbreak-evenM1M6M12M18M24M30M36W: M10L: M8B: M7
            Worst case
            $0.99M / yr
            Payback: 10 months
            Adoption stalls at supervisor level; only OEE-uplift and scrap levers carry through. Downtime/PdM benefits realize in Year 2 instead of Year 1.
            Likely case
            $1.55M / yr
            Payback: 8 months
            Phase-1 stabilizes the foundation; Phase-2 instrumentation lights up the ROI levers as planned. Adoption hits the 60-70% target by Q2.
            Best case
            $2.53M / yr
            Payback: 7 months
            Strong executive sponsorship + champion network drives 80%+ adoption. Predictive maintenance lights up early; Cost-of-Quality and OEE levers compound.
            Cost ramp loads ~60% of Year-1 spend into the first nine months. Benefit ramp starts at month 3 (stabilization complete) and reaches monthly run-rate by month 9. The shaded band shows the worst-case-to-best-case envelope; the solid line is the likely-case curve. Payback marks the month each scenario crosses break-even.
            08

            Implementation timeline

            From kickoff to optimization · Magnolia Automotive · Lebanon TN Assembly
            W0
            W4
            W8
            W12
            W16
            W20
            W24
            W28
            W32
            W36
            Engagement kickoff
            1w
            Document + interview cycle
            3w
            System connections
            4w
            Capability scoring + report
            2w
            Phase 1 deployment
            6w
            Phase 2 instrument
            10w
            Phase 3 optimize
            12w
            38-week program · 12 weeks to first measurable uplift · 26 weeks to optimization phase.
            09

            Investment summary

            Year-one economics · MODELED estimates, not a quoted price
            ⚠ Modeled — not a quoteThe numbers on this slide are derived from the engagement's headcount + facility count + maturity score. They are a sizing model the customer can use to scope the conversation, not a SOW price. The final figure lives in the engagement's commercial proposal; this slide is illustrative only.
            Total year-1 investment
            $530,000
            • Platform license: ~$340,000
            • Implementation: ~$140,000
            • Training + change mgmt: ~$50,000
            Year-1 annualized return
            $1,546,404
            • OEE / throughput uplift
            • Scrap + COPQ reduction
            • Avoided downtime via PdM
            • Working-capital release
            Payback period
            4 months
            • 3049K cumulative 3-yr surplus
            • Excludes one-time savings
            • Excludes risk-avoidance
            CFO pak

            One page · drop into the IC deck

            Modeled economics digested for the CFO + IC review · single page · paste-and-go
            Year-1 investment
            $530,000
            Platform license + implementation + change-management. Modeled, not quoted — the SOW lands the binding figure.
            3-year NPV (10% discount)
            Worst case$1.53M
            Likely case$2.66M
            Best case$4.65M
            Year-1 return — likely case
            $1,546,404
            Payback: 4 months · ROI multiple over Y1: 2.9×
            Range
            ScenarioAnnualPayback
            Worst$0.99M6mo
            Likely$1.55M4mo
            Best$2.53M3mo
            Assumptions table
            CustomerMagnolia Automotive · Lebanon TN Assembly · vertical: automotive
            Operational footprint3 facilities · 1,250 headcount
            Current operational maturity1.45 of 4 (managed)
            Capability coverage91% (43 of 47 capabilities have evidence)
            Discount rate (NPV)10.0%
            Benefit ramp0 months 1-3 (stabilize) · linear ramp to run-rate by month 9
            Cost ramp~60% Y1 in months 1-9 · 25% Y2 · 15% Y3 (run-rate license)
            For investment-committee use only. Every number on this page is a model based on the engagement scorecard + headcount + footprint. The binding price + scope lives in the engagement's SOW — confirm against that before any commitment.
            10

            Next steps

            What we recommend in the next 14 days
            1. Executive review (this week) · Walk this report with the executive sponsor; align on the path-forward priorities.
            2. Proof-of-value scope (week 2) · Pick 1 facility × 2-3 capability uplifts; define success metrics + decision gate.
            3. Convert to platform (week 2-3) · The same tenant retains all evidence + scorecard and becomes the customer's first platform tenant on conversion. No data migration; just a mode flip.
            4. Phase 1 kickoff (week 3) · Begin Stabilize phase with the prioritized initiatives.
            Engagement lead — CivOps
            Patrick
            patrick@civopssystems.io
            Customer sponsor
            Marcus Whitfield
            marcus.whitfield@magnolia-auto.example
            Magnolia Automotive · Lebanon TN Assembly · CivOps Manufacturing Platform · Confidential