Logistics Systems Consultant
Chairman, EIQ Research Society
Shin Suzuki
A slide deck by Mr. Shin Suzuki explaining distribution center functions, storage, and picking concepts. It covers everything from fundamental logistics functions to concrete operational methods.
Shows the basic role and positioning of a distribution center.
Explains the difference between "dead storage" (simply storing items) and "fluid storage" (premised on moving items as needed, when needed).
Outlines the wide range of functions of a distribution center, including receiving, storage, picking, value-added logistics services, and shipping.
The concept of a TC (Transfer Center), which holds no inventory and immediately sorts and ships incoming goods.
Discusses value-adding logistics services such as price tagging, assorting, and packing that go beyond simple storage and movement.
Illustrates the historical background of how warehouses have shifted over time from "storage-centric" to "sorting and value-added processing-centric" roles.
An explanation of the objectives of storage in a distribution center and the necessity of proper storage equipment and layout.
Illustrates the concept of separating the "Reserve" area (for stock) from the "Active" area (for picking operations).
Provides further detail on functional separation between "Reserve" (storing bulk inventory efficiently) and "Active" (boosting operational efficiency).
Classifies warehouse characteristics (temperature zones, security, floor area, etc.) based on handled goods and shipping types.
An overview of the series of system flows from the entrance (receiving) to the exit (shipping) of items.
An explanation of "Order Picking"—the most critical operation in a distribution center—where items are gathered based on customer orders.
Sample diagrams visually representing flow lines and layouts for picking operations.
Highlights the basic movements of picking work ("walk, search, take") and perspectives for improving efficiency.
Breaks down picking time into elements like "travel," "search," and "retrieval" to analyze where waste occurs.
Emphasizes time management importance at logistics sites, showing how accumulating "1 second" significantly impacts overall productivity.
Layout optimization techniques to increase how many items can be picked within a limited walking distance (Hit Density / picking density).
The concept of three different shipping units in picking (PCB): Pallet, Case, and Broken (piece).
Classifies various order picking patterns, such as item-by-item picking (single) and batch picking (seed-sowing/assortment).
Location management principles for where items should be placed on shelves, such as fixed locations versus free locations.
Methodology comparison: whether workers walk to gather items, or machines bring items to workers (GTP: Goods-to-Person).
Explains actual operating tools, including paper list picking, handheld terminals, and voice picking.
Illustrates differences in flow lines between "Batch" (picking multiple orders together) and "Single" (picking one order at a time).
A variation of batch picking where items are collected together in bulk and then sorted per order (conceptually like Karuta card matching).
Explains the "seed-sowing method (assorting)," where total picked quantities per item are distributed into slots for each store (order).
Specific examples and visual concepts of assorting work utilizing Digital Assort Systems (DAS) and similar technologies.
Introduces advanced logistics center and picking system case studies from overseas (Germany).
Case studies of system implementations and innovations in Japanese companies (e.g., POLA) to handle high-variety, small-quantity, high-frequency shipping.
Explains the implementation of automated equipment (automated warehouses, sorters, etc.) to address labor shortages and boost productivity.
Key points for comprehensively raising productivity, moving beyond simple mechanization to layout optimization, flow line shortening, and information system utilization.
Discusses the importance of "intelligent" automation through advanced data processing using AI and WMS, rather than simple hardware automation alone.
Explains techniques to streamline picking by analyzing order trends and taking into account item combinations (patterns) frequently shipped together.