Calculates payback period and ROI from machine investment vs expected annual savings.
Rolls up the financial impact of scrap, rework, and warranty into a unified cost-of-poor-quality model.
Compares planned vs actual labor hours to compute labor variance and efficiency impact.
Determines per-unit energy cost based on wattage, cycle time, and electricity rate.
Computes cost of scrap and overall scrap-rate to highlight waste contribution.
Calculates lost production caused by downtime during shift transitions.
Identifies gaps between current staff skill levels and required competency targets.
Calculates warehouse volumetric utilization based on storage geometry and facility dimensions.
Computes turnover ratio and days-to-turn from COGS vs inventory values.
Simulates changes in speed and scrap rate to estimate profit increase or loss.
Calculates CO₂e emissions from fuels using regulatory emission factors.
Compares location-based vs market-based electricity emissions.
Estimates upstream/downstream emissions using spend-based or mass-distance models.
Calculates cradle-to-gate environmental impact from materials, energy, and transport.
Computes waste emissions and diversion rate (recycled/re-used vs landfilled).
Calculates impact using Water Scarcity Index and basin-level stress modelling.
Computes packaging carbon footprint and circularity score.
Checks environmental test values against regulated thresholds.
Computes carbon cost for imports based on intensity × ETS price.
Scores clause compliance and identifies environmental management gaps.
Computes capability indices (Cpk, Cpu, Cpl) for measurements or defect data.
Evaluates takt time, detects bottlenecks, and computes line efficiency.
Computes step yield, RTY, DPMO, and sigma level for multistep processes.
Calculates Availability, Performance, Quality, and overall OEE.
Computes correct sample size for hypothesis testing using Z-based equations.
Normalizes data using lambda-based transformation for capability analysis.
Calculates financial gain from setup-time reduction (SMED projects).
Computes number of Kanban bins required based on demand, lead time, and safety stock.
Calculates value-added percentage vs total process time.
Sorts defects/occurrences and plots cumulative 80/20 distribution.
Builds fault trees, propagates failure probabilities, and extracts minimal cut sets.
Models system reliability using reliability block diagrams and minimal path sets.
Computes system availability, MTBF, MTTR, and equivalent failure rates.
Models multi-phase mission reliability with k-out-of-n redundancy.
Uses Poisson stock modeling to compute required spares and service levels.
Computes Crow-AMSAA parameters and reliability growth curves.
Calculates exponential and Erlang reliability, hazard, and density functions.
Computes PFH, DCavg, MTTFd and assigns SIL/PL ratings.
Models FIT modes and computes SFF, DC, and safe/dangerous splits.
Tracks incidents through closure with MTTR, closure-rate, and audit logs.
Computes measurement expanded uncertainty from repeatability, resolution, and calibration inputs.
Adjusts acceptance limits based on measurement uncertainty.
Computes EV, %GRR, and uses ISO-grade tolerances to determine acceptability.
Extends or shortens calibration intervals based on drift-to-tolerance ratio.
Adjusts measured dimension to 20°C using thermal expansion.
Computes En score to determine agreement between labs.
Computes uncertainty due to instrument resolution.
Calculates allowable torque range based on %FS or %Reading rules.
Corrects mass measurement for buoyancy effects.
Computes TUR ratio and evaluates suitability of measurement equipment.
Computes worst-case and RSS assembly stack-up.
Simulates distributions and interference likelihood via Monte-Carlo sampling.
Computes Weibull β, η, and MTTF from failure life data.
Computes MTBF, λ, and survival probability R(t).
Computes acceleration factor and required test time using Arrhenius model.
Generates AP ranking and risk-bubble visualization.
Computes MMC bonus, total tolerance, and virtual condition.
Creates stress ramp plan for rapid failure discovery.
Computes FoS based on UTS, method factors, and applied stress.
Computes total assembly time and DFA efficiency percentage.
Generates sampling code letters, sample sizes, and Ac/Re values.
Plots OC curves using Poisson approximation.
Computes sample sizes for zero-acceptance sampling.
Weighted score for quality, delivery, and audit.
Converts PPM to sigma level (with optional 1.5σ shift).
Computes shipping footprint from weight × distance × EF.
Tracks supplier corrective action stages over time.
Risk score = Source × Criticality × Inspection.
Computes Cohen’s Kappa for attribute agreement.
Computes duty-impact based on CIF value.
Computes safety stock & reorder point under variable lead time.
Computes service-level-based safety stock and holding cost.
Allocates freight and cargo cost by Incoterm rules.
Computes capacity, utilization, and supplier phase.
Calculates cost variance under exchange-rate scenarios.
Handles EOQ, MOQ penalties, and cost-efficiency.
Weighted risk scoring and price-vs-risk quadrant mapping.
Computes lead-time with buffers and visual timeline.
Computes HHI and concentration risk category.
Computes PPV and portfolio impact.
Scores requirement clarity (SHALL, verifiable, measurable, active voice).
Maps requirements to verification tests and detects orphans.
Calculates weighted maturity, stability, and pass-rate metrics.
Validates clarity of acceptance criteria (IF-THEN, units, ranges).
Tracks limit margins and trends in MAX/MIN/BAND monitoring modes.
Ranks tests by Probability × Impact score.
Creates functional flow block diagrams with logic gates and hierarchy.
Classifies requirement complexity (Low/Mod/Critical).
Computes hazard RPN, ASIL class, and linkage state.
Builds ordered V&V schedule, validates milestone logic, and detects conflicts.