1. Background of DATA Analysis

3-1. DATA Characteristics (PCB Analysis)

1) Basics and Characteristics of PCB Analysis
PCB analysis is a basic data analysis method designed to categorize product packaging forms in distribution centers into three units: "P (Pallet)," "C (Case)," and "B (Bara/Piece)," and to grasp the cargo volume and flow characteristics of each. Reading the patterns of receiving, storage, and shipping through this analysis is essential for selecting the optimal system. Furthermore, it serves as an important indicator for deciding whether to prioritize storage or shipping in center design.

Difference Between Case Shipping (C) and Piece Shipping (B): Since the handled units differ between case shipping and piece shipping, operational methods and suitable logistics equipment are clearly divided.

• Case Shipping (C): A shipping format picked and shipped directly in box units such as cardboard boxes. Operations primarily focus on retrieving boxes directly from pallet racks or case flow racks and transporting them using roller conveyors or belt conveyors.

• Piece Shipping (B): A shipping format where cases are opened and individual item pieces inside are picked. Because detailed sorting is required, logistics equipment supporting meticulous operations—such as light-duty shelving, picking carts, Digital Picking Systems (DPS), or piece sorters—is utilized.

Role of Pallets (P): Even for items fundamentally handled as case or piece shipping, when their volume becomes extremely large, operations in "P (Pallet)" units are adopted. By moving and storing large quantities of cases collectively on pallets using forklifts or automated pallet warehouses, cargo handling efficiency can be dramatically improved.

Points to Note When Selecting Systems

When considering and introducing optimal logistics systems through PCB analysis and other methods, the following points must be kept in mind:

• It is important to read the patterns of receiving, storage, and shipping to select the optimal system.

• Consider whether to prioritize storage or shipping.

• Roughly define specifications for candidate systems and calculate return on investment.

• Confirm whether the selected system meets customer needs.

• Consider whether the specifications and scale fit the initial investment capability of the customer.

• Determine whether the system proposal possesses adequate quality, safety, and reliability.