Logistics Data Analysis Methods & Applications Menu_

jp | eng | tw ___ By Institute of Logistics Technology

2. Data Analysis Methods and Procedures

2-4. EIQ Matrix

Overview of EIQ Analysis

EIQ Analysis analyzes the correlation between E (Entry: Destination), I (Item), and Q (Quantity) based on shipment data. Its origin stems from the "Seeding Sheet" used in traditional warehouse piece-picking operations.

In Tera Calculation, this is expanded into "SEIQ" by incorporating product dimensional data, enabling automated conversion and visualization into practical logistics metrics such as cases, pallets, volume, and weight.

1) Shipment Scatter Plot

Shipment Scatter Plot

The Shipment Scatter Plot represents each cell in the EIQ table with a plot point whenever shipment activity exists, displaying overall shipment data on a single screen.

2) Cross-Tabulation of Shipment Data (EIQ Table)

EIQ Table Creation Screen

The EIQ Table (Seeding Table) is a massive matrix placing Items on the vertical axis and Destinations on the horizontal axis, sorted by item shipment quantity in descending order.

3) EIQ Matrix Table

EIQ Matrix Table

The EIQ Matrix Table aggregates the large EIQ table into 25 blocks (5 Item blocks × 5 Destination blocks).