six sigma tool (masih pengembangan)

SIX SIGMA TOOLS STATISTICAL ANALYSIS HISTO GRAM ๐Ÿ“Š Histogram Analysis Distribusi frekuensi data untuk pattern recognition Deteksi normalitas, outliers, dan process capability PARETO CHART ๐Ÿ“ˆ Pareto Analysis Analisis 80/20 untuk prioritas improvement Focus pada vital few yang memberikan impact maksimal REGRES SION ๐Ÿ“‰ Regression Analysis Analisis hubungan matematis Y = f(X) dengan R² Prediksi, optimasi, dan korelasi antar variabel BOX PLOT ๐Ÿ“ฆ Box Plot Analysis Summary statistik Q1, median, Q3, outliers Perbandingan distribusi antar grup/batch SPC CONTROL CONTROL CHART ๐Ÿ“Š Control Charts X-bar/R, P-chart, C-chart untuk process monitoring UCL/LCL ±3ฯƒ, detection rules, stability analysis Cp/Cpk STUDY ⚙️ Process Capability Cp=(USL-LSL)/6ฯƒ, Cpk capability index ≥1.33 Process centering, variation reduction assessment MSA R&R ๐Ÿ” Measurement System Analysis Gage R&R study, %R&R <10% excellent, <30% acceptable Repeatability, reproducibility, bias, linearity PROBLEM SOLVING FMEA RISK ⚠️ FMEA Analysis RPN = Severity × Occurrence × Detection Risk assessment, failure mode prevention FISH BONE ๐ŸŸ Fishbone Diagram 6M analysis: Man, Machine, Method, Material Cause-and-effect, systematic brainstorming 5 WHY ❓ 5 Why Analysis Root cause investigation drilling technique Sequential questioning until true root cause DOE DESIGN FACTO RIAL ๐Ÿงช Factorial Design 2^k full factorial, fractional screening designs Main effects, interactions, optimal conditions RSM CCD ๐Ÿ“ˆ Response Surface Method Central Composite Design, optimization contours Second-order models, steepest ascent path TAGU CHI ๐ŸŽฏ Robust Design Orthogonal arrays, S/N ratio optimization Control vs noise factors, parameter design METHODOLOGY DMAIC DMAIC CYCLE ๐Ÿ”„ DMAIC Process Define-Measure-Analyze-Improve-Control Structured improvement methodology VOC CTQ ๐ŸŽง Voice of Customer Customer requirements → CTQ translation Kano analysis, QFD house of quality SIPOC MAP ๐Ÿ—บ️ SIPOC Diagram Supplier-Input-Process-Output-Customer mapping High-level process boundaries and scope definition Hover over categories to reveal tools • Click tools for detailed information SIX SIGMA TOOLS INFORMATION Click pada tool untuk melihat detail pengertian dan contoh aplikasi di industri kayu dan plastik Available Tools Categories: ๐Ÿ“Š Statistical Analysis: Histogram, Pareto, Regression, Box Plot ๐Ÿ“ˆ SPC Control: Control Charts, Process Capability, MSA ๐Ÿ” Problem Solving: FMEA, Fishbone, 5 Why Analysis ๐Ÿงช DOE Design: Factorial, RSM, Taguchi Method ๐Ÿ”„ Methodology: DMAIC, VOC/CTQ, SIPOC ๐Ÿ“Š HISTOGRAM ANALYSIS Pengertian Teknis: Grafik batang dengan bin interval untuk menampilkan distribusi frekuensi data kontinyu, menggunakan rumus Sturges (k = 1 + 3.322 log n) untuk menentukan jumlah bin Contoh Industri Kayu: • Decking thickness 25mm ±0.5mm: Sample 200 pieces per shift, digital caliper 0.01mm accuracy • Bin interval 0.1mm, target: mean=25.0mm, std dev≤0.15mm • Bimodal distribution detection → indikasi 2 different saw settings Contoh Industri Plastik: • Botol blow molding 500ml ±5ml: Volume measurement dengan overflow method • Target: 500ml, USL=505ml, LSL=495ml, 100 samples per hour • Right skew histogram → barrel temperature terlalu tinggi → adjust 220°C ke 210°C ๐Ÿ“ˆ PARETO ANALYSIS Pengertian Teknis: Kombinasi bar chart (frequency) dan line graph (cumulative %), diurutkan descending berdasarkan impact/frequency untuk identifikasi vital few dari trivial many Contoh Industri Kayu: • Flooring defect analysis - 1000 pieces inspection: - Surface roughness: 45 pcs (32%) → sandpaper grit 120→180 - Edge chipping: 38 pcs (27%) → router bit sharpening schedule - Color variation: 25 pcs (18%) → lumber sorting improvement Contoh Industri Plastik: • Injection molding defects - shift production 2000 pcs: - Sink marks: 145 pcs (42%) → holding pressure 80→95 bar - Flash: 98 pcs (28%) → clamp force 180→200 ton Interactive Six Sigma Tools untuk Quality Excellence & Process Optimization Klik tool untuk detail teknis • 3.4 DPMO Target • DMAIC/DMADV Methodology

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