LPSCE study plan

Classify each of the eight Lean wastes (defects, overproduction, waiting, non-utilized talent, transportation, inventory, motion, extra processing) using at least two workplace or case examples per waste type

Calculate takt time, cycle time, and lead time for three worked numerical scenarios and explain how each metric drives waste-elimination priorities

Draw a current-state value stream map for a process you know well, labeling process boxes, inventory triangles, information flow, and lead-time ladder

Differentiate push versus pull scheduling and identify where a kanban or supermarket buffer would reduce overproduction in your mapped process

Explain how 5S, standard work, and poka-yoke each attack a specific waste category, citing one concrete countermeasure per tool

Sequence the five DMAIC phases and state the entry and exit criteria (tollgates) that gate movement between them

Distinguish common-cause from special-cause variation and select the correct response (process change versus local action) for six given scenarios

Compute DPMO, rolled throughput yield, and sigma level from defect and opportunity data, showing the conversion steps

Compare Lean, Six Sigma, and Lean Six Sigma on problem type, typical tools, and time horizon, and justify which approach fits three described projects

Map each DMAIC phase to the primary tools used within it (charter and SIPOC in Define, MSA and capability in Measure, and so on) to build a working mental model of the roadmap

Draft a complete project charter containing problem statement, business case, goal statement (SMART), scope with in-scope and out-of-scope boundaries, team roles, milestones, and expected financial benefit

Rewrite three vague problem statements into measurable ones that specify metric, baseline, target, and time frame without prescribing a solution

Build a SIPOC for a chosen process with at least five rows and validate that inputs and outputs are specific and measurable

Translate raw voice-of-the-customer statements into CTQ requirements and prioritize them using a Kano or CTQ tree structure

Identify stakeholders and their influence and interest, then select an appropriate engagement approach for each quadrant

Distinguish continuous from discrete data and select appropriate measurement scales and summary statistics for each

Design a data collection plan specifying operational definitions, sampling strategy, sample size rationale, and data stratification factors

Compute and interpret Gage R&R results, deciding whether a measurement system is acceptable using the 10/30 percent rule for study variation and the precision-to-tolerance ratio

Assess attribute agreement and explain why kappa matters for pass/fail inspection data

Calculate Cp, Cpk, Pp, and Ppk from given summary statistics and interpret each against specification limits, explaining what each index reveals about centering versus spread

Build a cause-and-effect diagram and a C&E matrix to narrow a long candidate-cause list to the few variables worth testing

Construct and interpret a multi-vari chart and stratification analysis to separate positional, cyclical, and temporal variation

Select the correct hypothesis test (one-sample t, two-sample t, paired t, one-way ANOVA, chi-square, or regression) for eight stated questions and justify each choice

Interpret p-values, confidence intervals, and statistical versus practical significance, and explain the risks of Type I and Type II error in a project context

Verify a root cause using at least two independent evidence sources before moving to solution design, and document the verification logic

Generate and screen solution candidates using brainstorming plus impact/effort and Pugh matrix selection against defined criteria

Apply 5S, kaizen event design, standard work, and error-proofing to a specific process step and predict the resulting waste reduction

Conduct a failure mode and effects analysis with severity, occurrence, and detection ratings and prioritize actions by risk priority number

Design a pilot including success criteria, sample size, duration, control group or before-after comparison, and a decision rule for scale-up

Plan a 5S or standard-work implementation with visual controls and a documented before/after comparison method

Construct X-bar and R, individuals and moving range, p, and u control charts from given data and calculate control limits correctly

Interpret control chart patterns including points beyond limits, runs, trends, and stratification, and distinguish these from specification-limit violations

Write a response plan for out-of-control signals naming who acts, what they check, and the escalation path

Document standardized work with a control plan, reaction plan, and visual management board that sustain the gains

Design a control and monitoring plan including ownership, audit frequency, and a plan for handing the improved process to the process owner

Build a project plan with work breakdown structure, critical path, resource needs, and a risk register with mitigations

Explain team development stages and select leadership actions appropriate to forming, storming, norming, and performing phases

Apply a change management model to anticipate resistance, identify sponsors and resistors, and design communication and training tactics

Run a full timed practice exam under test conditions, then analyze missed questions by domain to target the weakest areas

Rehearse the project story end-to-end (charter through control) as if presenting to a sponsor, and close remaining gaps in Lean and DMAIC fundamentals