Every standard. Every industry.
Searchable. Comparable. Actionable.
From ISO 50001 to biscuit OEE. From IATF to textile mills. Search for your industry, standard, or equipment. We track them all automatically.
World-class OEE
The global benchmark
Energy Management
Standard alignment
Energy Savings
Typical gains
Defect Reduction
Average improvement
Search All Standards & Industries
Search by standard name (ISO 50001), industry (biscuit, pharma, textile), equipment (OEE, MTTR), or metric. Find your exact benchmark.
58 of 58 standards found
All Manufacturing Standards & Benchmarks
Proven frameworks used globally. We track them all automatically in real time.
Aerospace & Defense
OEE for Aerospace & Aviation Manufacturing
aerospace • aviation • aircraft
Aerospace: World-class OEE 85-90%. Tolerance ±0.05mm (0.002 inches). Any defect = scrap (no rework).
Real Example:
Jet engine blade CNC: Tolerance breach = €50K blade scrap + schedule delay. Coolant ±1°C = precision shift.
Our approach:
We maintain coolant temp ±0.5°C and tool position ±0.01mm via predictive parameter adjustment.
Automotive
OEE for Automotive Components
automotive • auto parts • assembly
Auto component plants: World-class OEE 90-95% (very high due to OEM pressure). Tooling changes frequent.
Real Example:
Auto component supplier: 5 product variants. Tool change 45 min per changeover. 8 changeovers/day = 6 hours lost.
Our approach:
We standardize tooling procedures across all variants and reduce changeover 60%.
OEE for Automotive Assembly Plants
auto assembly • body shop • paint
Auto assembly: World-class OEE 92-96% (OEM tight). Robot downtime = entire line stopped (serial process).
Real Example:
Body shop: Spot welder downtime 45 min = 600 car halts. = $1M+ loss + line delay. Predictive maintenance critical.
Our approach:
We predict robot/welder failures 4-8 hours ahead and schedule maintenance during planned stops.
Benchmarking
Facility Benchmarking (Peer Comparison)
facility benchmarking • peer comparison • benchmark
Peer comparison across identical facilities reveals methodology gaps. Same equipment: 7-15% OEE variance is common.
Real Example:
Textile spinning mill: Facility A 81%, Facility B 74%. Difference: thread tension procedure. Transfer best practice.
Our approach:
We compare your facility against peer benchmarks (anonymous) and identify what similar plants do differently.
Building Materials
OEE for Cement Manufacturing
cement • kiln • building materials
Cement kilns: World-class OEE 75-80% (continuous process, thermal lag). Kiln shutdowns = 3-4 days restart time.
Real Example:
Cement plant: Kiln downtime 5 hours = $500K loss (restart fuel + lost production). Predictive maintenance prevents 70%.
Our approach:
We monitor kiln temperatures 24/7 and predict bearing/drive failures 48 hours ahead.
Chemicals
OEE for Chemical Manufacturing
chemical • batch processing • reactor
Chemical plants: World-class OEE 82% (batch processes have longer cycle times, more variability).
Real Example:
Specialty chemicals: Batch 6 hours. Variability +/- 30 min = 6% throughput variance. Standardize procedures.
Our approach:
We identify process parameter drifts (temperature, pressure, mixing speed) and maintain consistency.
Core Manufacturing
OEE (Overall Equipment Effectiveness)
oee • equipment effectiveness • productivity
OEE = Availability × Performance × Quality. Global standard for equipment productivity. World-class: 85%+
Real Example:
Biscuit manufacturing line: 78% OEE (gap to 85% = 7% throughput loss = $120K annual)
Our approach:
We calculate OEE automatically, show the gap to world-class, and trace each loss to its root cause.
Six Big Losses Framework
six big losses • oee losses • downtime
Equipment downtime, minor stops, reduced speed, start-up, defects, yield losses. Foundation of OEE improvement.
Real Example:
Auto component plant: Downtime 18%, Speed loss 12%, Quality loss 8%. Target: reduce to 8%, 6%, 3%.
Our approach:
We categorize all losses automatically and show which losses move your OEE needle most.
Cosmetics & Personal Care
OEE for Cosmetics & Personal Care
cosmetics • beauty • skincare
Cosmetics filling: World-class OEE 85-90%. Batch consistency critical. Viscosity ±3% = fill weight drift ±5%.
Real Example:
Lotion filler: Viscosity drift = fill weight out of spec = full batch scrap ($40K). Predict drift 10 min ahead.
Our approach:
We monitor batch viscosity and temperature in real-time and auto-adjust fill parameters.
Electronics & Semiconductor
OEE for Electronics Manufacturing
electronics • pcb • semiconductor
Electronics: World-class OEE 85-90%. High precision required. Component placement errors = rework 20-30% of units.
Real Example:
PCB assembly: Pick-and-place 99.2% accuracy target. Current 98.8% = 100 defects per 10K boards = $8K rework/day.
Our approach:
We track component placement accuracy in real-time and predict defect patterns before they propagate.
Energy & Sustainability
ISO 50001 Energy Management
iso 50001 • energy management • energy efficiency
International energy management standard. Requires baseline, monitoring, targets, and verification. ROI: 2-3 years.
Real Example:
Dairy processing plant: 500 kW baseline. Target: -15% consumption. Solar + predictive maintenance → 18% achieved.
Our approach:
We auto-generate ISO 50001 compliance data, link energy to production KPIs, and flag efficiency opportunities.
Carbon Footprint & Emissions Tracking
carbon footprint • emissions • co2
Scope 1 (direct) and Scope 2 (purchased energy) emissions. Track carbon intensity per unit produced.
Real Example:
Steel manufacturer: 2.5 tonnes CO₂ per tonne steel. Target: 2.0 tonnes via efficiency. Carbon credit revenue: $8K/year.
Our approach:
Energy reduction = direct CO₂ reduction. We track both automatically and monetize via carbon credits.
Energy Star Certification
energy star • energy efficiency • certification
US EPA program certifying top 25% energy performers. Qualifies for rebates and marketing advantage.
Real Example:
Snack food manufacturer: Achieved Energy Star certification. Attracted premium customers willing to pay 3% more.
Our approach:
We help you meet Energy Star thresholds and maintain certification status automatically.
Energy & Utilities
OEE for Energy & Utilities
power plant • steam generator • turbine
Power plants: World-class OEE 92-96% (continuous). Downtime = grid impact + financial penalty + safety risk.
Real Example:
Coal plant: Boiler tube leak = emergency shutdown = €500K penalty (1 hour outage). Predict corrosion 2 months ahead.
Our approach:
We monitor water chemistry and tube temperature to predict failures months ahead.
Equipment Performance
OEE by Equipment Type
oee by equipment • machine performance
Different equipment has different OEE targets. Fillers: 90%. Packers: 85%. Conveyor: 95%.
Real Example:
Beverage bottling: Filler OEE 88% (gap: 2%), Packer OEE 76% (gap: 9%). Packer is constraint. Focus there.
Our approach:
We show equipment-specific targets and constraints. Investment follows highest-impact opportunities.
Food & Beverage
OEE for Biscuit Manufacturing
biscuit • cookie • bakery
Biscuit lines: World-class OEE 88-92% (higher than average due to continuous flow). Benchmark breakdowns every 4-6 hours.
Real Example:
Biscuit plant: Line 1 OEE 84%, Line 2 OEE 90%. Gap = 2% throughput loss = 240 kg/day = €480K/year.
Our approach:
We identify Line 1's constraints (oven temperature drift, cooling line friction). Fix specific to your equipment.
OEE for Beverage Production
beverage • juice • bottling
Beverage lines: World-class OEE 88-90%. High-speed fillers run 100-500 bottles/min. Minor stops compound quickly.
Real Example:
Juice bottling: Minor stops (cap jams) 12%/day. = 86 min/8hr shift. = 2,500 lost bottles/day = €1,200/day.
Our approach:
We predict cap jam patterns and prevent them before they occur.
OEE for Dairy Processing
dairy • milk • cheese
Dairy plants: World-class OEE 87% (time-sensitive products degrade quickly). Cleaning cycles 30+ min.
Real Example:
Yogurt line: Cleaning between products 45 min. 3 products/shift = 2.25 hours non-productive. Optimize cleaning.
Our approach:
We reduce cleaning time 30% without sacrificing hygiene via optimal water flow and temperature curves.
FMCG Supply Chain Metrics
fmcg • fast moving • supply chain
FMCG (Fast-Moving Consumer Goods): Shelf turnover 2-4 weeks. Production lead time 2-3 weeks. Zero buffer.
Real Example:
Snack food FMCG: 1-day demand forecast error = stockout or overstock. Synchronize production with demand.
Our approach:
We forecast production needs based on demand signals and production constraints simultaneously.
OEE for Electronics Food Processing
snack • crackers • chips
Snack food frying: World-class OEE 83-87%. Oil temperature control critical. ±2°C = defect rate shift 5-15%.
Real Example:
Potato chip fryer: Oil temp fluctuation = color defects +12%. Batch scrap $2K/shift. Stabilize temp ±1°C.
Our approach:
We maintain oil temperature within ±0.5°C via predictive heating and prevent batch loss.
OEE for Beverage Canning
canning • can • aluminum
Canning lines: World-class OEE 88-92% (high-speed). Seamer pressure drift = 3% defect rate. Line speed 300-500 cans/min.
Real Example:
Beer can line: Seam defects = 2% leakers. = 6K bad cans/8hr = €3K loss. Predict seamer wear.
Our approach:
We monitor seamer performance in real-time and predict tool wear 4-6 hours ahead.
OEE for Confectionery & Chocolate
chocolate • candy • confectionery
Chocolate lines: World-class OEE 84-89%. Temperature ±1°C = viscosity change = coating defects. Tempering critical.
Real Example:
Chocolate coating: Temp drift = bloom + surface defects = 6% scrap. Batch cost €8K. Stabilize temp ±0.5°C.
Our approach:
We maintain chocolate temperature within ±0.3°C using predictive heating and prevent bloom.
Furniture & Wood
OEE for Furniture Manufacturing
furniture • wood • joinery
Furniture assembly: World-class OEE 82-87%. Wood variability (moisture ±5%) = joint fit issues. Setup 20-30 min.
Real Example:
Cabinet line: Wood moisture drift = 12% assembly rework. Line A OEE 79%, Line B OEE 85% (humidity controlled).
Our approach:
We monitor wood moisture in real-time and optimize drying time + predict fit issues before assembly.
Glass & Ceramics
OEE for Glass Manufacturing
glass • bottle • container
Glass molding: World-class OEE 82-88%. Annealing time sensitive. Thermal stress = 15% rejection rate if rushed.
Real Example:
Glass bottle plant: Cycle time 8 sec/bottle. Annealing furnace 4-hour cooldown. Downtime = 500K bottles lost/restart.
Our approach:
We optimize annealing curves and thermal stress to maximize throughput without defects.
Industrial Equipment
OEE for Machinery & Equipment Manufacturing
machinery • equipment • cnc
CNC machine shops: World-class OEE 85-90%. Tool wear = 5-15 min unplanned downtime per shift. Setup 30-45 min.
Real Example:
CNC job shop: 8 job changeovers/shift. Setup 40 min avg = 5.3 hrs setup/shift = 66% of shift non-productive.
Our approach:
We predict tool wear and trigger automatic changeovers before failure + standardize setup procedures.
Lean & Improvement
SMED (Single-Minute Exchange of Die)
smed • changeover • setup time
Reduce changeover time to <10 minutes. Standard changeover: 30-45 min. SMED goal: <10 min. Typical gain: 15-25% throughput.
Real Example:
Biscuit manufacturing (multiple flavors): Changeover 35 min → 12 min via SMED. Produces 2 extra batches/shift.
Our approach:
We track changeover time per product, per shift, per operator. Identify fastest teams and standardize their method.
5S Methodology
5s • sort • set
Sort, Set in order, Shine, Standardize, Sustain. Reduces motion waste 25%, downtime 15%, defects 20%.
Real Example:
Textile factory: 5S implementation. Tool retrieval time 8 min → 2 min. Operator efficiency +15%.
Our approach:
We track 5S compliance and show how discipline in floor organization drives measurable productivity gains.
Kaizen (Continuous Improvement)
kaizen • continuous improvement • daily improvement
Daily incremental improvement culture. Not quarterly events. Small changes compound to 5-10% annual gains.
Real Example:
Snack food plant: Daily kaizen cycles. Week 1: micro-stops -12%. Week 4: OEE +4%. Year-end: +8%.
Our approach:
We give every operator visibility into their performance. Daily improvements become habit, not exception.
Value Stream Mapping (VSM)
value stream mapping • vsm • waste elimination
Visualize material and information flow. Identify non-value-added (waste) vs value-added steps. Target: 80% value-add.
Real Example:
Dairy processing: 47-step process → 28 value-add, 19 waste. Eliminate 5 redundant QC checks. Lead time -12%.
Our approach:
We map production flows and quantify waste. Every improvement is data-backed.
Maintenance
TPM (Total Productive Maintenance)
tpm • total productive maintenance • preventive maintenance
Autonomous maintenance + planned maintenance + maintenance planning. Reduces unplanned downtime 50%+.
Real Example:
Automotive assembly line: TPM implementation → unplanned downtime 8% → 3%. MTBF improves 40%.
Our approach:
We track maintenance compliance and predict which assets need maintenance before failure occurs.
Planned vs Unplanned Downtime Ratio
downtime • planned maintenance • unplanned downtime
World-class: 95% planned, 5% unplanned. Most facilities: 70% planned, 30% unplanned. Difference = $500K+/year.
Real Example:
Biscuit production: 20% unplanned downtime. Shift to 90% planned via predictive maintenance = $350K annual savings.
Our approach:
We categorize all downtime and show how to shift from reactive to proactive maintenance.
Manufacturing
OEE for Plastic Extrusion
plastic • extrusion • injection molding
Extrusion: World-class OEE 88%. Speed loss from material inconsistency, temperature variation.
Real Example:
Plastic extruder: Material batch temperature varies 5°C. = Speed loss 8-12%. Standardize feed temperature.
Our approach:
We maintain optimal extrusion parameters and predict material quality issues.
Marine & Defense
OEE for Marine & Shipbuilding
shipbuilding • marine • vessel
Shipbuilding: World-class OEE 70-75% (high complexity). Rework = schedule delay = millions in penalties.
Real Example:
Hull section welding: Distortion >5mm = section rework. Cost €500K + 3-week delay. Prevent distortion prediction.
Our approach:
We predict weld distortion patterns and optimize welding sequences to prevent rework.
Metals & Fabrication
OEE for Steel & Metal Fabrication
steel • metal • fabrication
Steel mills: World-class OEE 78-82% (higher variability due to material properties). Downtime 20%, speed loss 15%.
Real Example:
Steel coil winding: Target 500 m/min. Tension drift ±5% = speed loss 8%. Line 1 OEE 76%, Line 2 OEE 82% = $450K/year gap.
Our approach:
We predict tension/temperature drift 2-4 hours ahead and prevent coil defects via automated parameter adjustment.
Mining & Minerals
OEE for Mining & Minerals Processing
mining • ore processing • crusher
Mineral mills: World-class OEE 75-82% (continuous, remote). Unplanned downtime = ore buildup + restart delay.
Real Example:
Gold mill: Downtime 4 hrs = €100K ore processing delay. Mill bearings = €40K replacement + 2-day restart.
Our approach:
We monitor vibration patterns 24/7 and predict bearing failure 3-5 days ahead for planned maintenance.
Packaging
OEE for Packaging & Converting
packaging • converting • film
Film converting: World-class OEE 83-88%. Registration/cut accuracy ±2mm critical. 5% scrap rate typical.
Real Example:
Flexible packaging: Bag seal defects = 4% scrap = €15K/day loss. Web tension ±1% = seal quality drop.
Our approach:
We maintain web tension ±0.5% and predict registration drift from film tension patterns.
Paper & Pulp
OEE for Paper & Pulp Mills
paper • pulp • tissue
Paper mills: World-class OEE 80-85%. Web breaks every 4-6 hours. Minor stops 20-25% of uptime.
Real Example:
Tissue mill: Web breaks = 35 min/shift downtime. 4-5 breaks/shift. = $1.5K/day loss. Predict breaks from fiber analysis.
Our approach:
We analyze pulp consistency and predict web breaks 10-15 minutes before they occur.
Pharma & Health
OEE for Pharma Manufacturing
pharma • pharmaceutical • tablet
Pharma lines: World-class OEE 92%+ (high due to constant regulation pressure). Changeover time 45-120 min per product.
Real Example:
Pharma tablet line: Changeover 90 min. Switch products 3x/day = 4.5 hours non-productive. Target: 60 min.
Our approach:
We identify unnecessary steps in changeover procedures and streamline them.
OEE for Pharmaceutical Bulk Manufacturing
api • bulk pharmaceutical • reactor
API/bulk pharma: World-class OEE 88-93% (regulatory pressure high). Batch loss = product waste + regulatory audit.
Real Example:
Synthesis reactor: Temperature ±0.5°C out of spec = entire 500L batch destroyed = $200K loss (cannot rework).
Our approach:
We maintain reactor parameters within spec ±0.2°C and predict deviation 30 min ahead.
OEE for Medical Device Assembly
medical device • surgical • sterilization
Device assembly: World-class OEE 90-95% (quality = patient safety). Every deviation logged. Zero tolerance.
Real Example:
Stent assembly: Defect rate 0.1% (3.4 PPM Six Sigma). Operator technique drift = 0.3% = batch hold for investigation.
Our approach:
We track operator technique variability and alert when performance drifts from baseline within 2-3 parts.
Printing
OEE for Printing & Publishing
printing • offset • digital
Offset printing: World-class OEE 80-85%. Color registration ±0.1mm. Ink/water balance critical. Setup 1-2 hours.
Real Example:
Commercial printer: Color shift = 8% waste sheets. Job changeover 90 min = 2 hrs/8hr shift setup.
Our approach:
We auto-calibrate ink/water balance and standardize changeover procedures to reduce setup time 40%.
Quality
Defect & Quality Standards
defect • quality • six sigma
Zero-defect manufacturing, Six Sigma (3.4 PPM), SPC (Statistical Process Control). Continuous quality monitoring.
Real Example:
Food packaging: Current defect rate 2.1%, Six Sigma target 0.034%. Focus on sealing machine drift + operator consistency.
Our approach:
We correlate process parameters to defect patterns and flag quality drift before it exceeds limits.
First-Pass Yield (FPY)
first pass yield • fpy • rework
% of units passing QC on first run. Benchmark: 98%+. Each 1% improvement = 2-3% throughput gain.
Real Example:
Pharma tablet manufacturing: FPY 96% → 98%. Rework cost drops from $80K to $40K annually.
Our approach:
We track FPY by machine, shift, and operator. When it drops, we find why immediately.
Pareto Principle (80/20 Rule)
pareto • 80/20 • root cause
80% of defects come from 3 causes. Focus elimination efforts on the vital few, not the trivial many.
Real Example:
Textile dyeing: 80% of color defects = incorrect temperature + wrong chemical ratio + inadequate stirring. Fix 3 things.
Our approach:
We identify the 3 causes automatically. Your defect rate drops 40-60% without touching anything else.
SPC (Statistical Process Control)
spc • statistical process control • control charts
Control charts, capability indices (Cp, Cpk). Detect process drift before parts fail inspection.
Real Example:
Automotive bearing manufacturing: Cpk 1.67 (capable). Drift detected at -0.3σ. Adjust machine before scrap.
Our approach:
We calculate Cpk automatically and alert when process approaches out-of-control conditions.
ISO 9001 Quality Management
iso 9001 • quality management • qms
International standard. Documented procedures, corrective actions, preventive measures. Required for regulated industries.
Real Example:
Medical device manufacturer: ISO 9001 certified. Every process variation logged. Audit readiness: 24 hours.
Our approach:
We auto-generate ISO 9001 compliance documentation. Every action is timestamped and searchable.
Regulatory
FDA Compliance (Pharma & Food)
fda • pharma • food safety
Good Manufacturing Practice (GMP). Critical for pharma, food, cosmetics. Zero tolerance for untraced deviations.
Real Example:
Pharma tablet plant: Every tablet batch traceable. Temperature, pressure, ingredient logs. FDA audit readiness 48h.
Our approach:
We create audit trails automatically. Every process deviation is logged and documented.
BRC (British Retail Consortium) Food Safety
brc • food safety • retailer compliance
Retailer requirement for food suppliers. Covers HACCP, allergen control, employee hygiene. Grade A = premium pricing.
Real Example:
Biscuit manufacturer: BRC Grade A certification. Retail partners 30% larger orders. Premium price: +2.5%.
Our approach:
We track all BRC parameters (temperature, sanitation, allergen controls) in real time. Certification proof always ready.
FSSC 22000 (Food Safety System)
fssc 22000 • food safety system • certification
Combines ISO 22000 + PAS 220 + PAS 221. Most stringent food safety standard. Required by major retailers globally.
Real Example:
Snack food exporter: FSSC 22000 certification opened EU market. Volume +40%. New markets worth $2M/year.
Our approach:
We maintain FSSC 22000 documentation automatically. Compliance becomes effortless.
ISO 22000 (Food Safety Management)
iso 22000 • food safety • haccp
HACCP-based system. Identifies and controls biological, chemical, physical hazards. Foundation for all food standards.
Real Example:
Dairy plant: ISO 22000 → identifies pathogen risk at 3 steps. Controls reduce contamination risk 95%.
Our approach:
We track all critical control points (CCPs) and alert when parameters drift outside safe ranges.
IATF 16949 (Automotive Quality)
iatf 16949 • automotive • quality management
Automotive OEM requirement. Integrates ISO 9001 + industry-specific requirements. Nearly all auto suppliers must have it.
Real Example:
Auto component supplier: IATF 16949 certified. Qualified to supply Tier-1 OEMs. Contract value: $50M+/year.
Our approach:
We maintain IATF 16949 documentation and demonstrate continuous improvement required for recertification.
Reliability
MTTR & MTBF Standards
mttr • mtbf • mean time repair
Mean Time To Repair (MTTR) and Mean Time Between Failures (MTBF). MTTR benchmark: 2-8 hours. World-class: <2 hours.
Real Example:
Pharma equipment: MTTR 4.5 hours → target 2.5 hours. Predictive maintenance prevents 80% of breakdowns.
Our approach:
We track both metrics in real time, predict failures before they happen, and eliminate chronic breakdowns.
Rubber & Tires
OEE for Rubber & Tire Manufacturing
rubber • tire • vulcanization
Tire vulcanization: World-class OEE 80-85%. Cure time critical. ±1 min error = product fail QC. No rework.
Real Example:
Tire plant: Vulcanizer oven ±2°C drift = 3% reject rate = $6K/8hr shift loss. Batch heating is irreversible.
Our approach:
We maintain cure temperature ±0.5°C and predict oven performance decay weeks ahead.
Safety
ISO 13849 (Machine Safety)
iso 13849 • machine safety • safety integrity
Safety of machinery. Performance level (PLa-PLe) for control systems. Required for hazardous equipment.
Real Example:
Textile machinery: ISO 13849 PLd certification. Enables sale to EU market. Opens €5M+ contract potential.
Our approach:
We track safety system performance and maintain certification documentation.
OSHA Safety Standards (US)
osha • workplace safety • machine guarding
Occupational safety. Machine guarding, lockout/tagout, incident reporting. Fines up to $150K per violation.
Real Example:
US manufacturing plant: OSHA audit. Our documentation shows 100% compliance. Zero citations. No fines.
Our approach:
We auto-log all safety incidents and maintenance checks. Audit readiness: immediate.
Textiles
OEE for Textile Manufacturing
textile • spinning • weaving
Textile mills: World-class OEE 85% (lower due to fiber inconsistency). Yarn breaks reduce speed 20-30%.
Real Example:
Textile mill: 200 spindles. Yarn breaks every 2 hours. = 4 hours downtime/shift = $3K/day lost. Predict breaks.
Our approach:
We predict fiber quality issues from spindle vibration before breaks happen.
Textiles & Apparel
OEE for Apparel & Textile Manufacturing
apparel • clothing • garment
Apparel sewing: World-class OEE 80-85%. Thread breakage + needle damage = 10-15% defect rate. Labor-intensive QC.
Real Example:
Sewing factory: 50 operators. Needle damage = 8 defects/operator/shift = 400/day = €3K rework. Predict needle wear.
Our approach:
We track needle/thread tension and predict breakage patterns per operator + recommend preventive maintenance.
Workforce
Operator Consistency & Training
operator performance • training • consistency
Same machine, same product. Operator A: 85% OEE. Operator B: 70%. Difference is methodology, not equipment.
Real Example:
Automotive assembly: Operator C's changeover method 28 min. Operator A's method 35 min. Transfer C's method.
Our approach:
We identify best-performing operators and transfer their procedures to everyone else.
Every standard visible. Every comparison clear. Every decision data-backed.
Teams Track Every Standard
- ✓Your teams see OEE calculated from real-time asset data
- ✓Supervisors verify ISO 50001 compliance continuously
- ✓Maintenance teams track MTTR/MTBF live per asset
- ✓Line leaders see Six Big Losses categorized by type
Compare & Replicate Success
- ✓Facility managers compare OEE across all locations
- ✓Supervisors identify shift-to-shift performance gaps
- ✓Teams benchmark against industry peers (anonymously)
- ✓Best practice teams transfer proven methods
Compliance Teams Stay Audit-Ready
- ✓Compliance officers see audit trails generated automatically
- ✓Quality teams maintain ISO 9001, 50001, 22000 documentation
- ✓Regulators get immediate compliance proof (FDA, BRC, FSSC)
- ✓Compliance dashboards show status in real-time
Teams Optimize Using Industry Standards
- ✓Line leaders set realistic OEE targets by equipment type
- ✓Facility managers benchmark against industry data (pharma, food, auto, textile)
- ✓Engineers map regulatory requirements to daily operations
- ✓Facility managers track customer-specific KPIs
Most manufacturers don't know their own benchmark.
You run OEE calculations in spreadsheets (if at all). You submit ISO 50001 reports from guesses. Your reliability targets are opinions, not data. Meanwhile, your competitors are systematically closing the gap.
Typical OEE gap between identical facilities running the same product
ROI improvement when OEE is measured automatically vs manually
Average payback on ISO 50001 energy management investments
See your factory against industry benchmarks.
We'll calculate your OEE gap, track ISO 50001 compliance, and show you exactly what peer facilities do differently.
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