Warehouse optimization

(customer is hidden for privacy reasons)

We implemented a picking algorithm to optimise throughput of a newly deployed warehouse

Baseline

Deployment of a fully automated warehouse in Spain

Throughput not high enough to fulfil promises contained in contracts with client

Danger of high contractual penalty

Approach

 Analysis of the picking process

Mathematical model containing the key influencing factors on throughput

Development of PoC for single order picking station

Improvement of basic picking algorithm (from PoC) through analytics-based order partitioning

Development of C++ code integrated in warehouse automation system

Benefit

Contractual penalty could be avoided

Fully advanced picking algorithm gives 20% improvement over base version through analytics-based task partitioning

Fully automated warehouse with efficient picking order computed on the fly by the warehouse automation system