Скачать или смотреть Supply Chain Analysis with Python 41 Warehouse Slotting Optimizer

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Code Explanation:
Dataset Creation:

Simulates product data with pick frequencies and product sizes.
Defines warehouse zones with specific capacity constraints.
Allocation Logic:

Sorts products by pick frequency to prioritize frequently picked items.
Allocates products to zones starting with the highest pick frequency and ensuring they fit within the remaining zone capacity.
Unallocated Products:

Flags products that cannot be allocated due to size constraints.
Summary of Remaining Capacities:

Displays the remaining capacity of each zone after allocation.

📦 Optimize Warehouse Slotting with Python

Why is Warehouse Slotting Important?
Efficient warehouse slotting ensures that frequently picked items are placed in easily accessible zones, reducing travel time and improving operational efficiency. This Python-based tool automates the process of allocating products to warehouse zones based on demand (pick frequency) and size constraints.

📊 Key Features:
1️⃣ Zone Allocation by Demand
Products with higher pick frequency are prioritized for zones closer to shipping areas.

2️⃣ Capacity Management
Ensures products fit within zone capacity constraints.

3️⃣ Dynamic Slotting Optimization
Automatically adjusts based on product size and demand.

4️⃣ Unallocated Product Detection
Identifies products that cannot be slotted due to size constraints.

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