# LSS.WIKI

LSS.WIKI 是面向精益六西格玛、统计分析、流程优化、DOE、VSM、TOC、DFSS、设计思维和 JTBD 的交互工具与企业培训知识平台。

## Full Tool Exhibit
- 大炮打靶学 DOE (Catapult DOE): https://www.lssmi.com/tools/sim13-doe-catapult/
- 高尔顿板 (Galton Board): https://www.lssmi.com/tools/sim14-galton-board/
- 数据类型 (Data Types): https://www.lssmi.com/tools/01-data-types/
- 样本与总体 (Sample vs Population): https://www.lssmi.com/tools/02-sample-population/
- 标准差计算 (Standard Deviation): https://www.lssmi.com/tools/03-std-deviation/
- 贝塞尔校正 (Bessel's Correction): https://www.lssmi.com/tools/04-bessel-correction/
- 集中趋势 (Central Tendency): https://www.lssmi.com/tools/22-central-tendency/
- 离散度全家桶 (Dispersion Toolkit): https://www.lssmi.com/tools/23-dispersion/
- 偏度与峰度 (Skewness & Kurtosis): https://www.lssmi.com/tools/24-skewness-kurtosis/
- 箱线图 (Boxplot): https://www.lssmi.com/tools/25-boxplot/
- Pareto 图 (Pareto Chart): https://www.lssmi.com/tools/26-pareto/
- 正态分布 (Normal Distribution): https://www.lssmi.com/tools/05-normal-distribution/
- 高尔顿板 (Galton Board): https://www.lssmi.com/tools/06-galton-board/
- 不同分布的介绍 (Distribution Zoo): https://www.lssmi.com/tools/07-distributions/
- 伯努利实验 (Bernoulli Trial): https://www.lssmi.com/tools/08-bernoulli/
- 二项分布 (Binomial Distribution): https://www.lssmi.com/tools/09-binomial/
- 棣莫弗-拉普拉斯定理 (De Moivre–Laplace Theorem): https://www.lssmi.com/tools/10-de-moivre-laplace/
- 泊松分布 (Poisson Distribution): https://www.lssmi.com/tools/27-poisson/
- 指数分布 (Exponential Distribution): https://www.lssmi.com/tools/28-exponential/
- Weibull 分布 (Weibull Distribution): https://www.lssmi.com/tools/29-weibull/
- t/χ²/F 三大分布 (t / χ² / F Distributions): https://www.lssmi.com/tools/30-t-chi-f/
- 协方差与相关系数 (Covariance & Correlation): https://www.lssmi.com/tools/31-covariance-correlation/
- 中心极限定理 √N (Central Limit Theorem √N): https://www.lssmi.com/tools/11-clt-sqrt-n/
- 最小二乘法 (Least Squares): https://www.lssmi.com/tools/12-least-squares/
- 正态检验 (Normality Test): https://www.lssmi.com/tools/13-normality-test/
- 概率计算教具 (Probability Calculator): https://www.lssmi.com/tools/14-probability-calculator/
- 置信区间 (Confidence Interval): https://www.lssmi.com/tools/32-confidence-interval/
- 假设检验框架 (Hypothesis Testing Framework): https://www.lssmi.com/tools/33-hypothesis-framework/
- 功效与样本量 (Power & Sample Size): https://www.lssmi.com/tools/34-power-sample-size/
- 贝叶斯定理 (Bayes' Theorem): https://www.lssmi.com/tools/35-bayes-theorem/
- 1-Sample t (1-Sample t): https://www.lssmi.com/tools/36-one-sample-t/
- 2-Sample t (2-Sample t): https://www.lssmi.com/tools/37-two-sample-t/
- 单因素 ANOVA (One-Way ANOVA): https://www.lssmi.com/tools/38-anova-oneway/
- 双因素 ANOVA (Two-Way ANOVA): https://www.lssmi.com/tools/39-anova-twoway/
- 比例检验 (Proportion Test): https://www.lssmi.com/tools/40-proportion-test/
- 方差齐性检验 (Variance Homogeneity Test): https://www.lssmi.com/tools/41-variance-test/
- 非参数检验 (Nonparametric Tests): https://www.lssmi.com/tools/42-nonparametric/
- 多元回归 (Multiple Regression): https://www.lssmi.com/tools/43-multiple-regression/
- 逻辑回归 (Logistic Regression): https://www.lssmi.com/tools/44-logistic-regression/
- 回归诊断 (Regression Diagnostics): https://www.lssmi.com/tools/45-regression-diagnostics/
- 主成分分析 (Principal Component Analysis): https://www.lssmi.com/tools/46-pca/
- 公差 LSL/USL (Tolerance LSL/USL): https://www.lssmi.com/tools/15-tolerance-lsl-usl/
- 六西格玛的统计含义 (Six Sigma · Statistical Meaning): https://www.lssmi.com/tools/16-six-sigma-statistical/
- 六西格玛现实意义 (Six Sigma · Real-World Meaning): https://www.lssmi.com/tools/17-six-sigma-reality/
- 1.5σ 动态波动 (1.5σ Dynamic Shift): https://www.lssmi.com/tools/18-shift-1-5-sigma/
- Cp/Cpk/Pp/Ppk (Cp / Cpk / Pp / Ppk): https://www.lssmi.com/tools/47-cp-cpk-pp-ppk/
- Cpm 田口 (Cpm · Taguchi): https://www.lssmi.com/tools/48-cpm-taguchi-capability/
- 非正态能力 (Non-Normal Capability): https://www.lssmi.com/tools/49-nonnormal-capability/
- 离散型能力 (Discrete Capability): https://www.lssmi.com/tools/50-discrete-capability/
- 六西格玛突破 (Six Sigma Breakthrough): https://www.lssmi.com/tools/19-six-sigma-breakthrough/
- SPC Nelson 8 大判异 (SPC · Nelson 8 Rules): https://www.lssmi.com/tools/20-spc-nelson-rules/
- DOE 大炮 (DOE · The Catapult): https://www.lssmi.com/tools/21-doe-catapult/
- 2^k DOE (2^k DOE): https://www.lssmi.com/tools/51-doe-2k-factorial/
- 响应面 RSM (Response Surface · RSM): https://www.lssmi.com/tools/52-rsm/
- 田口稳健 (Taguchi Robust): https://www.lssmi.com/tools/53-taguchi-robust/
- EWMA/CUSUM (EWMA / CUSUM): https://www.lssmi.com/tools/54-ewma-cusum/
- 属性型控制图 (Attribute Control Charts): https://www.lssmi.com/tools/55-attribute-charts/
- 控制图选择 (Control Chart Selector): https://www.lssmi.com/tools/56-control-chart-selector/
- Gauge R&R (Gauge R&R): https://www.lssmi.com/tools/57-gauge-rnr/
- Kappa MSA (Kappa MSA): https://www.lssmi.com/tools/58-kappa-attribute-msa/
- MTBF 浴盆 (MTBF · Bathtub): https://www.lssmi.com/tools/59-mtbf-bathtub/
- 系统可靠性 (System Reliability): https://www.lssmi.com/tools/60-system-reliability/
- Little's Law + OEE (Little's Law + OEE): https://www.lssmi.com/tools/61-little-law-oee/
- 规格的语言 (Language of Specs): https://www.lssmi.com/tools/pc01-spec-limits-tolerance/
- μ vs T (μ vs T): https://www.lssmi.com/tools/pc02-mu-vs-target/
- σ 标准差 (σ · Standard Deviation): https://www.lssmi.com/tools/pc03-sigma-deviation/
- ±3σ = 99.73% (±3σ = 99.73%): https://www.lssmi.com/tools/pc04-six-sigma-99-73/
- min() 木桶定律 (min() · Bucket Law): https://www.lssmi.com/tools/pc05-min-bucket-law/
- Cp 三步拆 (Cp · Three-Step Breakdown): https://www.lssmi.com/tools/pc06-cp-formula-breakdown/
- Cpk 拆解 (Cpk · Breakdown): https://www.lssmi.com/tools/pc07-cpk-formula-breakdown/
- Pp 整体 σ (Pp · Overall σ): https://www.lssmi.com/tools/pc08-pp-overall-sigma/
- Ppk 长期视角 (Ppk · Long-Term View): https://www.lssmi.com/tools/pc09-ppk-longterm/
- Cpm 田口公式 (Cpm · Taguchi Formula): https://www.lssmi.com/tools/pc10-cpm-taguchi-formula/
- Z = (X−μ)/σ (Z = (X−μ)/σ): https://www.lssmi.com/tools/pc11-z-score-usl-lsl/
- Z_bench 合成 (Z_bench Composite): https://www.lssmi.com/tools/pc12-z-bench-combine/
- 1.5σ shift (1.5σ Shift): https://www.lssmi.com/tools/pc13-shift-1-5-sigma-long-short/
- DPMO ↔ Sigma (DPMO ↔ Sigma): https://www.lssmi.com/tools/pc14-dpmo-sigma-level-table/
- σ_within = R̄/d2 (σ_within = R̄/d2): https://www.lssmi.com/tools/pc15-sigma-within-r-bar-d2/
- σ_overall 合并 (σ_overall Pooled): https://www.lssmi.com/tools/pc16-sigma-overall-pooled/
- d2 / c4 / d3 (d2 / c4 / d3): https://www.lssmi.com/tools/pc17-d2-c4-d3-constants/
- % Defective Φ (% Defective Φ): https://www.lssmi.com/tools/pc18-defect-rate-phi-tails/
- 居中度 k (Centering Ratio k): https://www.lssmi.com/tools/pc19-centering-k-ratio/
- Cpk → ppm 速查 (Cpk → ppm Lookup): https://www.lssmi.com/tools/pc20-cpk-ppm-lookup/
- 非正态 Percentile (Non-Normal Percentile): https://www.lssmi.com/tools/pc21-nonnormal-percentile/
- 离散 P% → Cpk (Discrete P% → Cpk): https://www.lssmi.com/tools/pc22-discrete-percent-to-cpk/
- 单件流 vs 批量流 (One-Piece Flow vs Batch): https://www.lssmi.com/tools/sim01-one-piece-flow-race/
- 看板拉动 (Kanban Pull): https://www.lssmi.com/tools/sim03-kanban-pull/
- 价值流全景 (Value-Stream Time Ladder): https://www.lssmi.com/tools/sim04-vsm-time-ladder/
- 快速换模 (SMED Changeover): https://www.lssmi.com/tools/sim05-smed-changeover/
- U 型单元 (U-Cell Layout): https://www.lssmi.com/tools/sim06-u-cell-layout/
- 生产平准化 (Heijunka Mix): https://www.lssmi.com/tools/sim07-heijunka-mix/
- 节拍时间 (Takt Time): https://www.lssmi.com/tools/sim08-takt-time/
- 牛鞭效应 (Bullwhip Effect): https://www.lssmi.com/tools/sim10-bullwhip-effect/
- 自働化安灯 (Jidoka & Andon): https://www.lssmi.com/tools/sim15-jidoka-andon/
- TPM 与 OEE (TPM & OEE): https://www.lssmi.com/tools/sim16-tpm-oee/
- 七大浪费寻宝 (Waste Safari): https://www.lssmi.com/tools/sim17-waste-safari/
- 超市与先进先出 (Supermarket, FIFO & Pacemaker): https://www.lssmi.com/tools/sim18-supermarket-fifo/
- 门到门 (Door-to-Door): https://www.lssmi.com/tools/62-door-to-door/
- VSM 当前状态图 (VSM · Current State): https://www.lssmi.com/tools/63-vsm-current-state/
- 数据盒 (Data Box): https://www.lssmi.com/tools/64-data-box/
- VA/NVA/NNVA (VA / NVA / NNVA): https://www.lssmi.com/tools/65-value-va-nva/
- Lead Time 梯子 (Lead Time Ladder): https://www.lssmi.com/tools/66-lead-time-ladder/
- 批量 vs 单件流 (Batch vs Continuous Flow): https://www.lssmi.com/tools/67-batch-vs-flow/
- 连续流 (Continuous Flow): https://www.lssmi.com/tools/68-continuous-flow/
- 节拍时间 Takt (Takt Time): https://www.lssmi.com/tools/69-takt-time/
- 单元设计 Cell (Cell Design): https://www.lssmi.com/tools/70-cell-design/
- EPE Every Part (EPE · Every Part Every): https://www.lssmi.com/tools/71-epe/
- SMED 快速换型 (SMED · Quick Changeover): https://www.lssmi.com/tools/72-smed/
- Heijunka 平准化 (Heijunka · Leveling): https://www.lssmi.com/tools/73-heijunka/
- 推动 vs 拉动 (Push vs Pull): https://www.lssmi.com/tools/74-push-vs-pull/
- 超市 Supermarket (Supermarket): https://www.lssmi.com/tools/75-supermarket/
- Kanban 看板 (Kanban): https://www.lssmi.com/tools/76-kanban/
- FIFO Lane (FIFO Lane): https://www.lssmi.com/tools/77-fifo-lane/
- Pacemaker (Pacemaker): https://www.lssmi.com/tools/78-pacemaker/
- 牛鞭效应 (Bullwhip Effect): https://www.lssmi.com/tools/79-bullwhip/
- 未来图 8 大问题 (Future State · 8 Questions): https://www.lssmi.com/tools/80-future-state-8-questions/
- 未来图 vs 当前图 (Future vs Current State): https://www.lssmi.com/tools/81-future-vs-current/
- Kaizen Burst (Kaizen Burst): https://www.lssmi.com/tools/82-kaizen-burst/
- Flow vs Process Kaizen (Flow vs Process Kaizen): https://www.lssmi.com/tools/83-flow-vs-process-kaizen/
- 5S 现场管理 (5S · Workplace Organization): https://www.lssmi.com/tools/84-5s/
- 标准化作业 (Standard Work): https://www.lssmi.com/tools/85-standard-work/
- TPM 6 大损失 (TPM · 6 Big Losses): https://www.lssmi.com/tools/86-tpm-oee-6-losses/
- Poka-yoke 防错 (Poka-Yoke · Mistake-Proofing): https://www.lssmi.com/tools/87-poka-yoke/
- Jidoka Andon (Jidoka · Andon): https://www.lssmi.com/tools/88-jidoka-andon/
- PDCA 循环 (PDCA Cycle): https://www.lssmi.com/tools/89-pdca/
- Kaikaku vs Kaizen (Kaikaku vs Kaizen): https://www.lssmi.com/tools/90-kaikaku-vs-kaizen/
- A3 报告法 (A3 Report): https://www.lssmi.com/tools/91-a3-report/
- 改善套路 (Improvement Kata): https://www.lssmi.com/tools/92-improvement-kata/
- 教练套路 5 问 (Coaching Kata · 5 Questions): https://www.lssmi.com/tools/93-coaching-kata/
- 5-Why (5-Why): https://www.lssmi.com/tools/94-five-why/
- 七大浪费 TIMWOOD (Seven Wastes · TIMWOOD): https://www.lssmi.com/tools/95-timwood-7-wastes/
- Fulfillment 7 浪费 (Fulfillment 7 Wastes): https://www.lssmi.com/tools/96-lean-fulfillment-7-wastes/
- 扩展价值流 (Extended Value Stream): https://www.lssmi.com/tools/97-extended-value-stream/
- Hoshin Kanri (Hoshin Kanri): https://www.lssmi.com/tools/98-hoshin-kanri/
- Gemba Walk (Gemba Walk): https://www.lssmi.com/tools/99-gemba-walk/
- 库存周转 ADOH (Inventory Turns · ADOH): https://www.lssmi.com/tools/100-inventory-turns-adoh/
- 尽善尽美螺旋 (Perfection Spiral): https://www.lssmi.com/tools/101-perfection-spiral/
- DBR 鼓-缓冲-绳 (Drum-Buffer-Rope): https://www.lssmi.com/tools/sim02-dbr-drum-buffer-rope/
- 瓶颈转移·五步聚焦 (Five Focusing Steps): https://www.lssmi.com/tools/sim09-focus-five-steps/
- 童子军行军 (The Scout March): https://www.lssmi.com/tools/sim11-scout-march/
- 骰子游戏 (The Dice Game): https://www.lssmi.com/tools/sim12-dice-game/
- 分销拉动补货 (Distribution Replenishment): https://www.lssmi.com/tools/sim19-toc-replenishment/
- 童子军行军 (Boy-Scout Hike): https://www.lssmi.com/tools/102-boy-scout-hike/
- 五聚焦步骤 (Five Focusing Steps): https://www.lssmi.com/tools/103-five-focusing-steps/
- 平衡产线悖论 (Balanced Line Paradox): https://www.lssmi.com/tools/104-balanced-line-paradox/
- 骰子游戏 (Match-Bowls Dice Game): https://www.lssmi.com/tools/105-match-bowls-dice/
- 约束类型 (Constraint Types): https://www.lssmi.com/tools/106-constraint-types/
- DBR 总览 (DBR Overview): https://www.lssmi.com/tools/107-dbr-overview/
- Drum 鼓 约束节拍 (Drum · Constraint Beat): https://www.lssmi.com/tools/108-drum/
- Buffer 缓冲 (Buffer): https://www.lssmi.com/tools/109-buffer/
- Rope 绳 (Rope): https://www.lssmi.com/tools/110-rope/
- T-I-OE 三指标 (T-I-OE · Three Metrics): https://www.lssmi.com/tools/111-t-i-oe/
- NP/ROI 公式 (NP / ROI Formulas): https://www.lssmi.com/tools/112-np-roi-formulas/
- 产品组合决策 (Product Mix Decision): https://www.lssmi.com/tools/113-product-mix-decision/
- 局部 vs 全局优化 (Local vs Global Optimization): https://www.lssmi.com/tools/114-local-vs-global-optimization/
- 关键路径 vs 关键链 (Critical Path vs Critical Chain): https://www.lssmi.com/tools/115-critical-chain-vs-path/
- 三大项目顽疾 (Three Project Diseases): https://www.lssmi.com/tools/116-three-project-diseases/
- 50/50 估算 + 项目缓冲 (50/50 Estimate + Project Buffer): https://www.lssmi.com/tools/117-50-50-project-buffer/
- 缓冲管理 红黄绿 (Buffer Management · Red/Yellow/Green): https://www.lssmi.com/tools/118-buffer-management/
- CRT 现状树 (CRT · Current Reality Tree): https://www.lssmi.com/tools/119-current-reality-tree/
- EC 蒸发云 (EC · Evaporating Cloud): https://www.lssmi.com/tools/120-evaporating-cloud/
- FRT 未来树 (FRT · Future Reality Tree): https://www.lssmi.com/tools/121-future-reality-tree/
- PRT 前提树 + TT 转换树 (PRT · Prerequisite Tree + TT · Transition Tree): https://www.lssmi.com/tools/122-prt-tt/
- TOC 分销 拉动补货 (TOC Distribution · Pull Replenishment): https://www.lssmi.com/tools/123-toc-distribution/
- TOC × Lean × 6σ (TOC × Lean × 6σ): https://www.lssmi.com/tools/124-toc-lean-sixsigma/
- POOGI 持续改善螺旋 (POOGI · Process Of Ongoing Improvement): https://www.lssmi.com/tools/125-poogi/
- The Goal 故事 + 5 启示 (The Goal · Story + 5 Lessons): https://www.lssmi.com/tools/126-goal-story/
- 从需求到洞察 (From Need to Insight): https://www.lssmi.com/tools/d26-need-to-insight/
- QFD 4 阶瀑布 (QFD · 4-Phase Waterfall): https://www.lssmi.com/tools/d27-qfd-four-phases/
- QFD1 品质屋 HoQ (QFD1 · House of Quality): https://www.lssmi.com/tools/d28-qfd1-house-of-quality/
- 关系矩阵 + 屋顶相关性 (Relation Matrix + Roof Correlation): https://www.lssmi.com/tools/d29-relation-matrix-roof/
- 客户重要度 + 竞争对标 (Customer Importance + Competitive Benchmark): https://www.lssmi.com/tools/d30-customer-importance-benchmark/
- 工程特性目标值 (Engineering Target Values): https://www.lssmi.com/tools/d31-engineering-target-value/
- Pugh 概念评选 (Pugh Concept Selection): https://www.lssmi.com/tools/d32-pugh-concept-selection/
- 客户选择矩阵 (Customer Selection Matrix): https://www.lssmi.com/tools/d33-customer-selection-matrix/
- 设计冻结 + 最终概念卡 (Design Freeze + Final Concept Card): https://www.lssmi.com/tools/d34-design-freeze-concept-card/
- VOC 五步骤 (VOC · Five Steps): https://www.lssmi.com/tools/d16-voc-five-steps/
- 研究计划 + 意图陈述 (Research Plan + Intent Statement): https://www.lssmi.com/tools/d17-research-plan-intent/
- 客户矩阵 + 领先用户 (Customer Matrix + Lead Users): https://www.lssmi.com/tools/d18-customer-matrix-sampling/
- 访谈指南设计 (Interview Guide Design): https://www.lssmi.com/tools/d19-interview-guide-design/
- 提问技巧 (Question Techniques): https://www.lssmi.com/tools/d20-question-techniques/
- 抽象阶梯 (Abstraction Ladder): https://www.lssmi.com/tools/d21-abstraction-ladder/
- 田野工作 + 意义建构 (Field Work + Sensemaking): https://www.lssmi.com/tools/d22-field-work-sensemaking/
- KJ 法 7 步 (KJ Method · 7 Steps): https://www.lssmi.com/tools/d23-kj-method-7-steps/
- 需求转化 (Need Transformation): https://www.lssmi.com/tools/d24-need-transformation/
- KANO 模型 (KANO Model): https://www.lssmi.com/tools/d25-kano-model/
- DMAIC vs DFSS (DMAIC vs DFSS): https://www.lssmi.com/tools/d01-dmaic-vs-dfss/
- CDOC 四阶段全景 (CDOC · Four-Phase Overview): https://www.lssmi.com/tools/d02-cdoc-four-phases/
- Phase-Gate Process (Phase-Gate Process): https://www.lssmi.com/tools/d03-phase-gate-process/
- 模糊前端 Fuzzy Front-End (Fuzzy Front-End): https://www.lssmi.com/tools/d04-fuzzy-front-end/
- DFSS 工具集地图 (DFSS Tool-Set Map): https://www.lssmi.com/tools/d05-dfss-tool-set-map/
- 项目可行性 9 阶段法 (Project Feasibility · 9 Stages): https://www.lssmi.com/tools/d06-feasibility-9-steps/
- 市场机会分析 (Market Opportunity Analysis): https://www.lssmi.com/tools/d07-market-opportunity-analysis/
- 新产品 5 大触发源 (New Product · 5 Trigger Sources): https://www.lssmi.com/tools/d08-product-trigger-5-sources/
- 技术难度 × 企业优势 (Tech Difficulty × Firm Advantage): https://www.lssmi.com/tools/d09-tech-difficulty-vs-advantage/
- Tollgate 0 Go/No-Go (Tollgate 0 · Go / No-Go): https://www.lssmi.com/tools/d10-tollgate-0-go-nogo/
- 产品发展趋势 (Product Trend Analysis): https://www.lssmi.com/tools/d11-product-trend-analysis/
- 技术整合 (Technology Integration): https://www.lssmi.com/tools/d12-technology-integration/
- 系统九宫格 (System Nine-Box): https://www.lssmi.com/tools/d13-system-nine-box/
- 产品使用地图 (Product Use Map): https://www.lssmi.com/tools/d14-product-use-map/
- 初始概念卡 (Initial Concept Card): https://www.lssmi.com/tools/d15-initial-concept-card/
- 田口稳健设计 (Taguchi Robust Design): https://www.lssmi.com/tools/d35-taguchi-robust-design/
- 公差设计 + RSS (Tolerance Design + RSS): https://www.lssmi.com/tools/d36-tolerance-design-rss/
- DOE 在 DFSS 中 (DOE in DFSS): https://www.lssmi.com/tools/d37-doe-in-dfss/
- TRIZ 40 原理 (TRIZ · 40 Principles): https://www.lssmi.com/tools/d38-triz-40-principles/
- TRIZ 进化趋势 (TRIZ · Evolution Trends): https://www.lssmi.com/tools/d39-triz-evolution-trends/
- DFMEA / PFMEA (DFMEA / PFMEA): https://www.lssmi.com/tools/d40-dfmea-pfmea-rpn/
- 容差 + Cp/Cpk 验证 (Tolerance + Cp/Cpk Verification): https://www.lssmi.com/tools/d41-tolerance-cpk-verification/
- 控制计划 + 上市 (Control Plan + Launch): https://www.lssmi.com/tools/d42-control-plan-launch/
- DFSS × DT × TRIZ (DFSS × DT × TRIZ): https://www.lssmi.com/tools/d43-dfss-dt-triz-comparison/
- 整合路径 (Integration Path): https://www.lssmi.com/tools/d44-integration-path/
- 流程能力公式总表 (Process Capability Formula Sheet): https://www.lssmi.com/tools/fh01-capability-formula-sheet/
- 假设检验公式总表 (Hypothesis Testing Formula Sheet): https://www.lssmi.com/tools/fh02-hypothesis-testing-formula-sheet/
- 方差分析公式总表 (ANOVA Formula Sheet): https://www.lssmi.com/tools/fh03-anova-formula-sheet/
- 回归分析公式总表 (Regression Formula Sheet): https://www.lssmi.com/tools/fh04-regression-formula-sheet/
- DOE 实验设计公式总表 (DOE Formula Sheet): https://www.lssmi.com/tools/fh05-doe-formula-sheet/
- SPC 控制图公式总表 (SPC Control Chart Formula Sheet): https://www.lssmi.com/tools/fh06-spc-formula-sheet/
- MSA 测量系统公式总表 (MSA Formula Sheet): https://www.lssmi.com/tools/fh07-msa-formula-sheet/
- 系统可靠性 串/并/k-of-n (System Reliability · Series / Parallel / k-of-n): https://www.lssmi.com/tools/f47-system-reliability-series-parallel/
- OEE = A × P × Q (OEE = A × P × Q): https://www.lssmi.com/tools/f48-oee-formula/
- Little's Law (Little's Law): https://www.lssmi.com/tools/f49-littles-law/
- Takt / EPE / SMED (Takt / EPE / SMED): https://www.lssmi.com/tools/f50-takt-epe-smed/
- RSS 公差链 (RSS Tolerance Stack): https://www.lssmi.com/tools/f51-rss-tolerance-stack/
- T-I-OE + NP/ROI (T-I-OE + NP / ROI): https://www.lssmi.com/tools/f52-t-i-oe-np-roi/
- 产品组合 T/瓶颈分钟 (Product Mix · T per Bottleneck Minute): https://www.lssmi.com/tools/f53-product-mix-throughput/
- CCPM 50/50 + Buffer (CCPM · 50/50 + Buffer): https://www.lssmi.com/tools/f54-ccpm-buffer-50-50/
- Kanban 卡片数 N (Kanban · Card Count N): https://www.lssmi.com/tools/f55-kanban-card-number/
- X̄-R 控制限 (X̄-R Control Limits): https://www.lssmi.com/tools/f31-xbar-r-chart/
- X̄-S 控制限 (X̄-S Control Limits): https://www.lssmi.com/tools/f32-xbar-s-chart/
- I-MR 控制图 (I-MR Chart): https://www.lssmi.com/tools/f33-imr-chart/
- p / np 图 (p / np Chart): https://www.lssmi.com/tools/f34-p-np-chart/
- c / u 图 (c / u Chart): https://www.lssmi.com/tools/f35-c-u-chart/
- EWMA + CUSUM (EWMA + CUSUM): https://www.lssmi.com/tools/f36-ewma-cusum-formulas/
- Nelson 8 规则数学 (Nelson 8-Rule Math): https://www.lssmi.com/tools/f37-nelson-8-rules-math/
- 2^k 全因子主效应/交互 (2^k Full Factorial · Main Effects / Interactions): https://www.lssmi.com/tools/f38-2k-factorial-effects/
- 响应面 RSM 二阶 (Response Surface · RSM Second-Order): https://www.lssmi.com/tools/f39-rsm-second-order/
- 田口 S/N 信噪比 (Taguchi S/N Ratio): https://www.lssmi.com/tools/f40-taguchi-sn-ratio/
- 折因子 DOE (Fractional Factorial DOE): https://www.lssmi.com/tools/f41-fractional-factorial/
- Gauge R&R 方差分解 (Gauge R&R Variance Decomposition): https://www.lssmi.com/tools/f42-gauge-rnr-variance/
- NDC + 接收准则 (NDC + Acceptance Criteria): https://www.lssmi.com/tools/f43-ndc-acceptance/
- Cohen / Fleiss Kappa (Cohen / Fleiss Kappa): https://www.lssmi.com/tools/f44-cohen-fleiss-kappa/
- MTBF + 失效率 + 浴盆 (MTBF + Failure Rate + Bathtub): https://www.lssmi.com/tools/f45-mtbf-failure-rate/
- Weibull F/R/h 三函数 (Weibull · F / R / h Functions): https://www.lssmi.com/tools/f46-weibull-f-r-h-functions/
- Weibull + 浴盆 (Weibull + Bathtub): https://www.lssmi.com/tools/f10-weibull-bathtub/
- t / χ² / F 三大分布 (t / χ² / F Distributions): https://www.lssmi.com/tools/f11-t-chi-f-distributions/
- 中心极限 + √n (Central Limit + √n): https://www.lssmi.com/tools/f12-clt-sqrt-n/
- 贝叶斯定理 (Bayes' Theorem): https://www.lssmi.com/tools/f13-bayes-theorem/
- 置信区间 CI (Confidence Interval · CI): https://www.lssmi.com/tools/f14-confidence-intervals/
- 样本量 + 功效 (Sample Size + Power): https://www.lssmi.com/tools/f15-sample-size-power/
- 1-Sample t (1-Sample t): https://www.lssmi.com/tools/f16-one-sample-t-formula/
- 2-Sample / 配对 t (2-Sample / Paired t): https://www.lssmi.com/tools/f17-two-sample-paired-t/
- ANOVA F + SS 分解 (ANOVA · F + SS Decomposition): https://www.lssmi.com/tools/f18-anova-f-ss/
- 比例 z + χ² 列联 (Proportion z + χ² Contingency): https://www.lssmi.com/tools/f19-proportion-chi-square/
- 方差齐性检验 (Variance Homogeneity Test): https://www.lssmi.com/tools/f20-variance-tests/
- Mann-Whitney + Wilcoxon (Mann-Whitney + Wilcoxon): https://www.lssmi.com/tools/f21-mann-whitney-wilcoxon/
- 简单线性回归 OLS (Simple Linear Regression · OLS): https://www.lssmi.com/tools/f22-simple-linear-regression/
- 回归推断 SE/t/CI/PI (Regression Inference · SE/t/CI/PI): https://www.lssmi.com/tools/f56-regression-inference/
- 双因子 ANOVA 交互 (Two-Way ANOVA · Interaction): https://www.lssmi.com/tools/f57-two-way-anova-interaction/
- Tukey HSD 事后比较 (Tukey HSD Post-Hoc): https://www.lssmi.com/tools/f58-posthoc-tukey-hsd/
- 多元回归 + VIF (Multiple Regression + VIF): https://www.lssmi.com/tools/f23-multiple-regression-vif/
- 逻辑回归 + Sigmoid (Logistic Regression + Sigmoid): https://www.lssmi.com/tools/f24-logistic-regression/
- Cp / Cpk / Pp / Ppk (Cp / Cpk / Pp / Ppk): https://www.lssmi.com/tools/f25-cp-cpk-pp-ppk-formulas/
- Cpm 田口能力 (Cpm · Taguchi Capability): https://www.lssmi.com/tools/f26-cpm-taguchi/
- DPMO / σ 水平 / 1.5σ (DPMO / σ Level / 1.5σ): https://www.lssmi.com/tools/f27-dpmo-sigma-1-5-shift/
- DPU / RTY / FTY (DPU / RTY / FTY): https://www.lssmi.com/tools/f28-dpu-rty-fty/
- Box-Cox 变换 (Box-Cox Transformation): https://www.lssmi.com/tools/f29-box-cox-transformation/
- 短期 vs 长期 σ (d₂/c₄) (Short vs Long-Term σ (d₂ / c₄)): https://www.lssmi.com/tools/f30-short-long-sigma-d2-c4/
- 均值 / 中位数 / 众数 (Mean / Median / Mode): https://www.lssmi.com/tools/f01-mean-median-mode/
- 方差 / 标准差 / 贝塞尔 (Variance / Std. Dev. / Bessel): https://www.lssmi.com/tools/f02-variance-bessel/
- 偏度 + 峰度 (Skewness + Kurtosis): https://www.lssmi.com/tools/f03-skewness-kurtosis/
- 协方差 + Pearson r (Covariance + Pearson r): https://www.lssmi.com/tools/f04-covariance-pearson/
- IQR / CV / 极差 (IQR / CV / Range): https://www.lssmi.com/tools/f05-iqr-cv-range/
- 正态 PDF + Z 变换 (Normal PDF + Z Transform): https://www.lssmi.com/tools/f06-normal-pdf-z/
- 二项分布 PMF (Binomial PMF): https://www.lssmi.com/tools/f07-binomial-pmf/
- 泊松分布 PMF (Poisson PMF): https://www.lssmi.com/tools/f08-poisson-pmf/
- 指数分布 + 无记忆 (Exponential + Memoryless): https://www.lssmi.com/tools/f09-exponential-memoryless/
- Design Thinking (Design Thinking): https://www.lssmi.com/tools/dt01-design-thinking-double-diamond/
- Empathy Map (Empathy Map): https://www.lssmi.com/tools/dt02-empathy-map/
- User Journey Map (User Journey Map): https://www.lssmi.com/tools/dt03-user-journey-map/
- POV + HMW (POV + HMW): https://www.lssmi.com/tools/dt04-pov-hmw-generator/
- 5 Whys (5 Whys): https://www.lssmi.com/tools/dt05-5-whys/
- SCAMPER (SCAMPER): https://www.lssmi.com/tools/dt06-scamper/
- IDEO 3 Lens (IDEO · 3 Lenses): https://www.lssmi.com/tools/dt07-ideo-3-lens/
- Proto-Persona Builder (Proto-Persona Builder): https://www.lssmi.com/tools/dt08-persona-builder/
- KJ Affinity Map (KJ Affinity Map): https://www.lssmi.com/tools/dt09-kj-affinity-map/
- Crazy 8s (Crazy 8s): https://www.lssmi.com/tools/dt10-crazy-8s/
- MVP 5 Types (MVP · 5 Types): https://www.lssmi.com/tools/dt11-mvp-5-types/
- Stakeholder Map (Stakeholder Map): https://www.lssmi.com/tools/dt12-stakeholder-map/
- Service Blueprint (Service Blueprint): https://www.lssmi.com/tools/dt13-service-blueprint/
- Brainstorm 4 Rules + Reverse (Brainstorm · 4 Rules + Reverse): https://www.lssmi.com/tools/dt14-brainstorm-reverse/
- Storyboarding (Storyboarding): https://www.lssmi.com/tools/dt15-storyboarding/
- Job Statement (Job Statement): https://www.lssmi.com/tools/jt01-job-statement/
- 三层 Jobs (Three-Layer Jobs): https://www.lssmi.com/tools/jt02-three-layer-jobs/
- ODI Opportunity Calculator (ODI Opportunity Calculator): https://www.lssmi.com/tools/jt03-odi-calculator/
- 4 Forces of Progress (4 Forces of Progress): https://www.lssmi.com/tools/jt04-four-forces/
- Switch Interview (Switch Interview): https://www.lssmi.com/tools/jt05-switch-interview/
- Milkshake Case (Milkshake Case): https://www.lssmi.com/tools/jt06-milkshake-case/
- Job Map (Job Map): https://www.lssmi.com/tools/jt07-job-map-8-steps/
- Hire / Fire (Hire / Fire): https://www.lssmi.com/tools/jt08-hire-fire/
- Job Stories vs User Stories (Job Stories vs User Stories): https://www.lssmi.com/tools/jt09-job-stories-vs-user-stories/
- Value Proposition Canvas (Value Proposition Canvas): https://www.lssmi.com/tools/jt10-value-proposition-canvas/

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