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Qiaodan

The Value We Bring to Our Customer

storage locations

31,230

Storage Locations

Increase Mixed Case Picking Efficiency

3 times

Increase Mixed Case Picking Efficiency

Return Putaway Efficiency Per Hour Per Person

600 pieces

Return Putaway Efficiency Per Hour Per Person

picking accuracy

99.9%

Picking Accuracy

Project Introduction

Qiaodan

China

The warehouse automation project of Qiaodan takes place in its newly invested logistics park. The logistics park has a total of 8 floors. It is planned to be used for B2B business in some regions and B2C business across the country, as well as warehousing management of e-commerce return orders. The warehouse inventory is mainly shoes and clothing. The company expects to introduce the return business of e-commerce in August 2020 and undertake some B2C business in early 2021.

Pain Points

--Low labor efficiency, manual picking realizes 100-120 pieces/hour/person

--Manual warehouse storage density is low, and the effective picking area is small

--Too many return processing steps and the putaway efficiency is low, overall only 50 pieces/hour/person

--Use manual paper picking, difficult to guarantee the accuracy and timeliness of information and data

--The number of SKUs in the return warehouse is low, but with a large variety, which makes it difficult for manual picking

qiaodan apparel logistics center robots

Our Solution

--Robot quantity & type: 26 units, A42L

 

--Charging stations:9

 

--Workstation type & quantity: Outbound: 1 conveyor ring 3 workstations + 4 HAIPORT

 

--Inbound: 1 conveyor ring 3 workstations

 

--Shelving height: 5,300mm

 

--Storage unit: totes 650mm(L)×440mm(W)×400mm(H)

Customer Value

--Shelving area of 4,300㎡ provided 31,230 storage locations

--Case-to-person method, B2C picking efficiency achieves 420 pieces/hour/person

--5.3m high shelves increase storage density by 0.5 times

--Autonomous putaway of returns + case-to-person picking, achieves a return putaway efficiency of 600 pieces/hour/person

--Through grid storage + visual picking, the efficiency of mixed case picking increased more than 3 times

--Outbound efficiency 400 pieces/hour/person, inbound efficiency 600 cases/hour/person, reducing inbound/outbound time

--Inventory information and pick information in real time significantly improves the reliability of information system

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