Oracle Cloud Warehouse Management System (OCWMS) offers multiple picking strategies to optimize warehouse operations. The right picking method depends on order volume, SKU characteristics, warehouse layout, and business requirements.
Comparative Analysis of Different types of picking strategies:
|
Picking Method |
Orders/Hour |
Accuracy |
Setup Complexity |
Best For Volume |
Initial Investment |
|
Discrete |
5-10 |
98% |
Low |
<100/day |
$ |
|
Batch |
20-30 |
96% |
Medium |
100-1000/day |
$$ |
|
Zone |
25-40 |
97% |
High |
>500/day |
$$$ |
|
Wave |
30-50 |
97% |
High |
>1000/day |
$$ |
|
Cluster |
40-60 |
98% |
Medium |
>500/day |
$$ |
|
Pick-to-Light |
150-300 |
99.9% |
Very High |
>5000/day |
$$$$$ |
|
Voice |
80-120 |
99.9% |
High |
>1000/day |
$$$$ |
I will explain all the picking strategies one by one in a series. Each strategy will be accompanied by examples and practical tips to help you implement them effectively. By the end of the series, you’ll have a comprehensive understanding of which methods work best for different situations.
1. Discrete Picking (Single Order Picking)
One picker handles one order at a time from start to finish. This is the simplest and most straightforward picking method.
Best Fit For
• High-value, customized orders
• B2B operations with unique customer requirements
• Orders requiring special handling or gift wrapping
• Warehouses with limited automation
Advantages
• High accuracy per order
• Easy accountability
• Minimal system complexity
• Ideal for custom packaging requirements
Disadvantages
• Lowest productivity
• Not scalable for high volumes
Pratip Chatterjee
To Be Continued...