Beginner
Project Charter
Define the problem statement, scope, goals, timeline and team for a DMAIC project in a single authorization document.
A complete browser-based toolkit for quality engineers, Black Belts and operations researchers. 93 tools spanning the full DMAIC cycle plus operations research and optimization.
Explore the DMAIC WorkflowFrame the problem, capture customer needs, and plan the project. Charters, VOC, TRIZ, Kano and QFD.
Define the problem statement, scope, goals, timeline and team for a DMAIC project in a single authorization document.
Translate broad customer needs into specific, measurable Critical-to-Quality requirements branch by branch.
Map a process at a high level: Suppliers, Inputs, Process, Outputs and Customers on one page.
Score competing concepts against a datum on weighted criteria to select the strongest design objectively.
Resolve trade-offs where improving one parameter worsens another using TRIZ's 40 inventive principles and contradiction matrix.
Resolve conflicting requirements on one parameter through separation in time, space, scale or condition.
Define the Ideal Final Result to focus innovation on the function delivered rather than the current solution.
Group large volumes of qualitative ideas into natural themes using the KJ Method for VOC and brainstorming.
Break a goal or requirement into progressively finer levels of detail to expose actionable sub-tasks.
Show the strength of relationships between two or more groups of items in a structured grid.
Rank options against weighted criteria to reach a defensible, data-driven priority order.
Schedule project tasks on a timeline with durations and dependencies for clear planning and tracking.
Compare planned baseline dates against actual progress to spot schedule slippage early.
Track key milestones and toll-gate reviews across DMAIC phases on a milestone timeline.
Find the critical path, slack and expected project duration using PERT three-point estimates and CPM.
Classify features as Basic, Performance or Excitement to prioritize what truly drives satisfaction.
Extend the Kano model with self-stated importance to sharpen feature prioritization.
Benchmark Kano feature categories against competitors to find differentiation opportunities.
Link customer requirements to technical characteristics and set targets with the QFD House of Quality.
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Quantify current performance and validate your measurement system. Sigma level, capability, Gage R&R and Pareto.
Convert defects, DPMO or yield into a process sigma level to benchmark quality performance.
Assess how well a process meets specification limits with Cp, Cpk, Pp and Ppk indices.
Standardize values to z-scores to compare observations against a normal distribution.
Quantify measurement system variation from repeatability and reproducibility with a Gage R&R study.
Collect and structure customer requirements, translating raw needs into measurable CTQs.
Plan what to measure, how, by whom and how often before gathering process data.
Compare means across three or more groups with one-way and two-way analysis of variance and post-hoc tests.
Rank causes by frequency to surface the vital few driving most of the effect (80/20 rule).
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Test hypotheses, design experiments, and model relationships. Parametric and non-parametric tests, DOE and regression.
Test whether a sample mean differs from a known population mean when the population variance is known.
Test whether a sample mean differs from a target value when the population variance is unknown.
Compare the means of two independent groups to see if they differ significantly.
Compare paired or before-and-after measurements on the same subjects.
Test whether the variances of two populations are equal.
Test whether a sample proportion differs from a hypothesized population proportion.
Compare two independent sample proportions for a significant difference.
Test whether observed categorical frequencies match an expected distribution.
Test whether two categorical variables are associated using a contingency table.
Compare a sample distribution against a reference distribution with the Kolmogorov-Smirnov test.
Test whether two samples come from the same continuous distribution.
Test a sample for normality, the assumption behind many parametric methods.
A distribution-free test for the median using only the signs of differences.
Non-parametric alternative to the paired t-test using signed ranks of differences.
Non-parametric alternative to the two-sample t-test comparing two independent groups.
Non-parametric alternative to one-way ANOVA for three or more groups.
Analyze a Completely Randomized Design where treatments are assigned to units at random.
Analyze a Randomized Block Design that removes a known nuisance factor through blocking.
Control two nuisance factors simultaneously with a Latin Square layout.
Study all factor combinations to estimate main effects and interactions.
Analyze designs with hard-to-change factors using split-plot structure.
Analyze a Balanced Incomplete Block Design when blocks cannot hold every treatment.
Analyze a Partially Balanced Incomplete Block Design with grouped associate treatments.
Model the linear relationship between one predictor and a continuous response.
Model a continuous response as a function of several predictors.
Model a binary outcome and estimate the probability of an event from predictors.
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Generate, prioritize and implement solutions using Lean and strategy tools. Kaizen, VSM, 5S, Poka-Yoke and Taguchi.
Translate strategy into objectives and measures across financial, customer, process and learning perspectives.
Compare the monetized costs and benefits of an improvement to support the go/no-go decision.
Turn a chosen solution into scheduled actions with owners, dates and dependencies.
Plan and run a focused, time-boxed rapid-improvement workshop to eliminate waste.
Diagnose waste by examining Muda, Mura and Muri across the process.
Visualize work in progress and pull flow through columns to expose bottlenecks.
Map material and information flow to distinguish value-added from non-value-added time.
Score workplace organization against Sort, Set-in-order, Shine, Standardize and Sustain.
Design mistake-proofing devices that prevent or detect errors at the source.
Cut changeover time by separating and converting internal to external setup steps (SMED).
Use orthogonal arrays and signal-to-noise ratios to make processes robust to noise.
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Sustain the gains with statistical process control. Variable and attribute control charts.
Monitor process mean and range for small subgroups with an X-bar and R control chart.
Monitor process mean and standard deviation for larger subgroups with an X-bar and S chart.
Monitor individual measurements and moving range when subgrouping is not possible.
Track the proportion of defective units when subgroup size varies (attribute data).
Track the count of defective units for a constant subgroup size.
Track the number of defects per unit for a constant inspection area.
Track defects per unit when the inspection area varies.
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Optimize decisions across supply chain, logistics and stochastic systems. LP/IP, inventory, routing, queuing and decision science.
Optimize a linear objective subject to linear constraints (LP).
Solve optimization problems where some or all variables must be whole numbers.
Balance multiple, possibly conflicting goals by minimizing weighted deviations.
Find the order quantity that minimizes combined ordering and holding cost (EOQ).
Size buffer stock to cover demand and lead-time variability at a target service level.
Determine the inventory level that should trigger a replenishment order.
Estimate the fraction of demand met from stock on hand.
Measure how many times inventory is sold and replaced over a period.
Simulate Just-in-Time flow to study the effect of lot sizes and pull signals.
Set the optimal order quantity for a single perishable period under uncertain demand.
Optimize stock across multiple stages of a supply network.
Quantify and analyze demand-variability amplification along the supply chain.
Plan least-cost delivery routes for a fleet serving many locations (VRP).
Assign agents to tasks at minimum total cost (Hungarian method).
Find the least-cost shipping plan from sources to destinations.
Optimize flow through a capacitated network (max-flow / min-cost flow).
Jointly decide replenishment and delivery routing over time (IRP).
Model state-to-state transition probabilities and long-run steady-state behavior.
Analyze waiting lines to estimate queue length, wait time and utilization.
Estimate system reliability, failure rates and MTBF from component data.
Analyze strategic decisions between players and find equilibrium outcomes.
Solve multi-stage decision problems by breaking them into overlapping subproblems.
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