Home Database Mysql Tutorial How to implement the table structure design of the warehouse management system in MySQL?

How to implement the table structure design of the warehouse management system in MySQL?

Oct 31, 2023 am 11:07 AM
mysql storehouse Table structure design

How to implement the table structure design of the warehouse management system in MySQL?

How to implement the table structure design of the warehouse management system in MySQL?

Introduction:
With the vigorous development of e-commerce, the importance of warehouse management systems in enterprises has become increasingly prominent. Through a reasonable warehouse management system, companies can better control inventory conditions, reduce warehousing costs, and improve operational efficiency. This article will introduce how to design the table structure of a simple and practical warehouse management system in MySQL and provide specific code examples.

1. Requirements Analysis
Before designing the warehouse management system, we first need to conduct a requirements analysis to clarify the functions and data structure of the system. A basic warehouse management system should include the following core functional modules:

  1. Commodity management: including functions such as entry, query, modification, and deletion of commodities.
  2. Warehouse management: Responsible for managing the information of each warehouse in the warehouse, including warehouse number, capacity, etc.
  3. Storage management: Responsible for the warehousing operation of goods, recording the information, quantity, position, etc. of the goods put into the warehouse.
  4. Outbound management: Responsible for the outbound operation of goods, recording the outbound commodity information, quantity, position, etc.
  5. Inventory management: Real-time statistics on inventory status, including current inventory of products, available inventory, etc.
  6. Inventory management: Regularly inventory the goods in the warehouse and update inventory information.

2. Table structure design
Based on the above demand analysis, we can design the following table structure:

  1. Product table (product): used to store product information table.

CREATE TABLE product (
id INT PRIMARY KEY AUTO_INCREMENT, -- Product ID
name VARCHAR( 100) NOT NULL, -- Product name
price DECIMAL(8, 2) NOT NULL, -- Product price
unit VARCHAR(20) NOT NULL -- Commodity unit
);

  1. Position table (location): a table used to store position information.

CREATE TABLE location (
id INT PRIMARY KEY AUTO_INCREMENT, -- Position ID
name VARCHAR( 50) NOT NULL, -- Position name
capacity INT DEFAULT 0 -- Position capacity
);

  1. Inbound record table (inbound): used A table that stores product warehousing records.

CREATE TABLE inbound (
id INT PRIMARY KEY AUTO_INCREMENT, -- Inbound record ID
product_id INT NOT NULL, -- Product ID
location_id INT NOT NULL, -- Position ID
quantity INT NOT NULL, -- Incoming quantity
inbound_time DATETIME DEFAULT CURRENT_TIMESTAMP, -- Inbound time
FOREIGN KEY (product_id) REFERENCES product(id),
FOREIGN KEY (location_id) REFERENCES location(id)
);

  1. Outbound record table (outbound): use A table used to store product shipment records.

CREATE TABLE outbound (
id INT PRIMARY KEY AUTO_INCREMENT, -- outbound record ID
product_id INT NOT NULL, -- Product ID
location_id INT NOT NULL, -- Position ID
quantity INT NOT NULL, -- Outgoing quantity
outbound_time DATETIME DEFAULT CURRENT_TIMESTAMP, -- outbound time
FOREIGN KEY (product_id) REFERENCES product(id),
FOREIGN KEY (location_id) REFERENCES location(id)
);

  1. Inventory table (stock): used for storage Table of product inventory information.

CREATE TABLE stock (
product_id INT PRIMARY KEY, -- Product ID
quantity INT NOT NULL , -- Current inventory quantity
available_quantity INT NOT NULL, -- Available inventory quantity
FOREIGN KEY (product_id) REFERENCES product(id)
);

  1. Inventory record table (inventory): A table used to store inventory records.

CREATE TABLE inventory (
id INT PRIMARY KEY AUTO_INCREMENT, -- Inventory record ID
product_id INT NOT NULL, -- Product ID
location_id INT NOT NULL, -- Position ID
quantity INT NOT NULL, -- Inventory quantity
inventory_time DATETIME DEFAULT CURRENT_TIMESTAMP, -- Inventory time
FOREIGN KEY (product_id) REFERENCES product(id),
FOREIGN KEY (location_id) REFERENCES location(id)
);

3. Code Example

  1. Commodity Management Module sample code:

--Add product
INSERT INTO product (name, price, unit ) VALUES ('Product 1', 10.00, 'pieces');

-- Query all products
SELECT * FROM product;

- - Modify product information
UPDATE product SET price = 12.50 WHERE id = 1;

-- Delete product information
DELETE FROM product WHERE id = 1;

  1. Sample code of warehousing management module:

-- Product Inbound
INSERT INTO inbound (product_id, location_id, quantity) VALUES ( 1, 1, 10);

--Query all inbound records
SELECT * FROM inbound;

--Query inbound records based on product ID
SELECT * FROM inbound WHERE product_id = 1;

  1. Outbound management module sample code:

-- Product outbound
INSERT INTO outbound (product_id, location_id, quantity) VALUES (1, 1, 5);

-- Query all outbound records
SELECT * FROM outbound;

-- Query outbound records based on product ID
SELECT * FROM outbound WHERE product_id = 1;

  1. Inventory management module sample code:

-- Query all inventory information
SELECT * FROM stock;

-- Query inventory information based on product ID
SELECT * FROM stock WHERE product_id = 1;

  1. Inventory management module sample code:

-- Product inventory
INSERT INTO inventory (product_id, location_id , quantity) VALUES (1, 1, 15);

--Query all inventory records
SELECT * FROM inventory;

-- Query inventory records based on product ID
SELECT * FROM inventory WHERE product_id = 1;

Conclusion:
Through the above table With structural design and code examples, we can implement a simple and practical warehouse management system in MySQL. Through this system, enterprises can easily manage goods, warehouse locations, inbound and outbound records, inventory status and inventory records, improving the efficiency and accuracy of warehouse management.

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