Logistics Data Analysis: Methods, Procedures, and Applications Menu

MAP ___ By Logistics Technology Institute
Tera Calculation Knowledge Base

Logistics Data Analysis: Methods, Procedures, and Applications

Explains methods and applications for logistics data analysis.

Focusing primarily on shipping data, we cover environment gathering, analysis execution, and linking analysis results to system design or improvement from an analyst's viewpoint.
Essential knowledge and foundational documents for establishing prerequisites for high-precision logistics system design.

Updated through 2-3

📚 1. Background of Data Analysis

1-1. Why Data Analysis is Necessary 1-2. Who Performs Data Analysis 1-3. When to Perform Data Analysis 1-4. Information Required for Analysis 1-5. Knowledge & Tools Needed for Analysis

📚 2. Analysis Methods & Procedures

2-1. ABC Analysis & EIQ Analysis 2-2. Customer Understanding of Shipping Traits 2-3. Data Analysis Methods (EIQ Analysis) 2-4. EIQ Matrix 2-5. Current Status Survey Sheet 2-6. Required Data Analysis Items 2-7. Handling Missing Data Items 2-8. Analysis Procedures

📚 3. Evaluation & Application of Results

3-1. Data Characteristics (PCB Analysis) 3-2. Relationship with Logistics Flowchart 3-3. Relationship with Schedule Table 3-4. Relationship with Layout Diagram
💡 Key Points for Tera Calculation Usage

We recommend first reviewing "Raw Data Preparation Guide 1" and "Logistics Analysis Methods and Applications" to understand data collection and EIQ/ABC analysis concepts.