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
