📋 Screen Overview
The TeraCalc1_Traditional Analysis Tab performs advanced 5-tier ABC analysis derived from conventional logistics calculations. It evaluates shipping records from two independent perspectives: by Item SKU and by Customer Destination.
🎯 Primary Objectives
- Traditional Calculation: 5-stage ABC segmentation (A1, A2, B, C, D) based on cumulative distribution ratios.
- Item Analysis: Classifies SKUs by shipping volume to highlight high-priority inventory.
- Customer Analysis: Categorizes destinations by order volume to identify top accounts.
- Metric Granularity: Displays SKU/Customer counts, Order Lines, Piece units, Converted Cases, Pallets, Volume (m³), and Weight (kg).
- EIQ Cross-Reference: Compares macro distribution with EIQ Matrix results for multi-faceted logistics insights.
📌 UI Location
Located inside TabControl
Tab Title:
GroupBox Name:
Located inside TabControl
データ分析Tc as TabPage4.Tab Title:
従来分析GroupBox Name:
従来計算Cb (Traditional Calculation - Applied ABC)
🔬 Concept of Traditional Analysis
Evolution from Standard ABC Analysis
🎓 Applied 5-Tier Methodology
Devised by **Toshiyuki Teramoto** of the Logistics Technology Institute, this method refines standard 3-tier ABC analysis into **5 granular tiers (A1, A2, B, C, D)** to match EIQ analysis classifications.
This finer granularity provides deeper operational insights while maintaining backwards compatibility with traditional ABC reporting.
Devised by **Toshiyuki Teramoto** of the Logistics Technology Institute, this method refines standard 3-tier ABC analysis into **5 granular tiers (A1, A2, B, C, D)** to match EIQ analysis classifications.
This finer granularity provides deeper operational insights while maintaining backwards compatibility with traditional ABC reporting.
Comparison with Standard ABC
Standard ABC (3 Tiers)
| Rank | Cumulative % | Meaning |
|---|---|---|
| A | 0 - 70% | High Importance |
| B | 70 - 90% | Medium Importance |
| C | 90 - 100% | Low Importance |
Traditional Applied ABC (5 Tiers)
| Rank | Cumulative % | Meaning |
|---|---|---|
| A1 | 0 - 50% | Highest Priority (~Top 5% SKUs) |
| A2 | 50 - 70% | High Priority (~Next 15% SKUs) |
| B | 70 - 85% | Medium Priority (~30% SKUs) |
| C | 85 - 95% | Low Priority (~30% SKUs) |
| D | 95 - 100% | Lowest Priority (~20% SKUs) |
🖼️ Screen Controls & Structure
The interface is structured within GroupBox 従来計算Cb housing two DataGridView controls and heading text boxes.
| Control Name | Type | Layout & Function |
|---|---|---|
従来計算Cb |
GroupBox | Position: (13, 25), Size: 617 × 490 px, Sky Blue Background |
抽出_従来計算アイテムTb |
TextBox | Header for Item SKU Table (Top) |
抽出_従来計算アイテムDgv |
DataGridView | Displays Item-wise ABC distribution (Upper Half) |
抽出_従来計算出荷先Tb |
TextBox | Header for Customer Table (Bottom) |
抽出_従来計算出荷先Dgv |
DataGridView | Displays Customer-wise ABC distribution (Lower Half) |
分析日L |
Label | Displays selected analysis timeframe |
📦 Item-wise Analysis
Overview
Classifies items into 5 rank tiers based on total physical metrics (lines, pieces, cases). Ranks are calculated independently for Full-Case and Piece-picking operations.
Data Columns (抽出_従来計算アイテムDgv)
Case Shipment Mode (CI-Ranks)
| Column | Description |
|---|---|
CI Rank |
Case Item Rank (CI-A1, CI-A2, CI-B, CI-C, CI-D) |
Item Count |
Number of distinct SKUs in the rank |
Order Lines |
Total pick order lines |
Piece Quantity |
Total individual pieces |
Case Quantity |
Total converted case count |
Pallet Quantity |
Total converted pallet count |
Volume (m³) |
Total cubic volume |
Weight (kg) |
Total weight |
Piece Shipment Mode (BI-Ranks)
| Column | Description |
|---|---|
BI Rank |
Piece (Bara) Item Rank (BI-A1, BI-A2, BI-B, BI-C, BI-D) |
| Identical metric columns as Case Mode | |
🏢 Customer-wise Analysis
Overview
Classifies shipping destinations into 5 rank tiers based on order frequency and volume. Helps identify key commercial accounts and delivery priorities.
| Rank Category | Target Operation | Definition |
|---|---|---|
CE Rank |
Case Shipment | Case Entry (Customer) Rank (CE-A1 to CE-D) |
BE Rank |
Piece Shipment | Piece (Bara) Entry (Customer) Rank (BE-A1 to BE-D) |
🎖️ Rank Definitions & Operational Policies
| Rank | Cumulative % | Share % | Operational Focus & Policy |
|---|---|---|---|
| A1 | 0 - 50% | ~5% | Top Core Tier: Intensive management, automated slotting, front pick-line placement. |
| A2 | 50 - 70% | ~15% | High Tier: Fast-moving pick locations, maintained safety stock. |
| B | 70 - 85% | ~30% | Medium Tier: Standard rack storage, balanced slotting. |
| C | 85 - 95% | ~30% | Low Tier: Cost-prioritized storage, rear aisle placement. |
| D | 95 - 100% | ~20% | Lowest Tier: Off-site storage consideration, minimal inventory. |
📖 Basic Operating Guide
- Complete filter extraction on the "EIQ Data Analysis" tab.
- Select TabPage4 "従来分析" (Traditional Analysis).
- Grid tables will populate automatically based on the selected Case/Piece mode.
- Review item and customer volume distributions across A1 to D ranks.