Logistics Data Analysis Methods, Procedures, and Utilization Menu

MAP ___ By Logistics Technology Institute
Tera Calculation Knowledge Base

Logistics Data Analysis Methods, Procedures, and Utilization

Explains methodologies and utilization of logistics data analysis.

Centered on shipping data analysis, explaining from an analyst's perspective how to collect surrounding environment data and execute analysis, as well as how to link analytical results to operational improvements and system design.
This is a list of essential related knowledge and foundational documents to master in order to derive preconditions for improvements and high-precision logistics system construction.

Revised up to 2-3

📚 1. Background of Data Analysis

1-1. Why is Data Analysis Necessary? 1-2. Who Conducts Data Analysis? 1-3. When is Data Analysis Performed? 1-4. Information Required for Data Analysis 1-5. Knowledge and Tools Required for Data Analysis

📚 2. Data Analysis Methodologies and Procedures

2-1. ABC Analysis and EIQ Analysis 2-2. How Well Do Customers Grasp Shipping Characteristics? 2-3. Data Analysis Methods (EIQ Analysis) 2-4. EIQ Matrix 2-5. Current Status Survey Sheet 2-6. Items Required for Data Analysis 2-7. Handling Missing Data Items 2-8. Analysis Procedures

📚 3. Evaluation and Utilization of Analysis Results

3-1. DATA Characteristics (PCB Analysis) 3-2. Relationship with Logistics Flow Diagrams 3-3. Relationship with Schedule Charts 3-4. Relationship with Layout Diagrams
💡 Key Points for Utilizing Tera Calculation

We recommend first checking "Key Points for Creating Analytical Source Data 1" and "Logistics Analysis Methods and Utilization" to grasp required data collection and the concepts behind EIQ/ABC analysis.