Ba&shDigitalizing to optimize operations in an automated warehouseContact us
Ba&shDigitalizing to optimize operations in an automated warehouseContact us
ContextBa&sh wanted to streamline operations in its new automated warehouse, to increase operational efficiency during order preparation. The project consisted of scheduling order preparation waves and tracking order preparation in the warehouse.
ChallengeFor the first time, we had to come up with a way to integrate our solution into a mechanized processing system. The solution had to be able to interconnect with an existing software ecosystem that was very complex, and provide connections with the ERP and WCS in use. It also needed to be connected to the tools used in the warehouse.
SolutionThe solution enables scheduling sequences to be created automatically and in an optimized way, to prepare all types of orders. However, it also allows users to intervene on the order picking waves created. A dashboard which centralizes scheduling and warehouse activity monitoring is included in the solution to provide an overall view of warehouse performance.
OutcomeDeveloped in just three months, the solution handles the scheduling of about 800 orders every day. In the long term, the brand would like to improve package preparation by setting up a pick-to-light application.
ContextBa&sh wanted to streamline operations in its new automated warehouse, to increase operational efficiency during order preparation. The project consisted of scheduling order preparation waves and tracking order preparation in the warehouse.
ChallengeFor the first time, we had to come up with a way to integrate our solution into a mechanized processing system. The solution had to be able to interconnect with an existing software ecosystem that was very complex, and provide connections with the ERP and WCS in use. It also needed to be connected to the tools used in the warehouse.
SolutionThe solution enables scheduling sequences to be created automatically and in an optimized way, to prepare all types of orders. However, it also allows users to intervene on the order picking waves created. A dashboard which centralizes scheduling and warehouse activity monitoring is included in the solution to provide an overall view of warehouse performance.
OutcomeDeveloped in just three months, the solution handles the scheduling of about 800 orders every day. In the long term, the brand would like to improve package preparation by setting up a pick-to-light application.
Key project features
Overall view of warehouse performance
Creation of order preparation waves
Scheduling optimization
Constraint and capacity management
Tracking of order preparation
Key project features
Overall view of warehouse performance
Creation of order preparation waves
Scheduling optimization
Constraint and capacity management
Tracking of order preparation
Ba&shDigitalizing to optimize operations in an automated warehouseContact us
Ba&shDigitalizing to optimize operations in an automated warehouseContact us
ContextBa&sh wanted to streamline operations in its new automated warehouse, to increase operational efficiency during order preparation. The project consisted of scheduling order preparation waves and tracking order preparation in the warehouse.
ChallengeFor the first time, we had to come up with a way to integrate our solution into a mechanized processing system. The solution had to be able to interconnect with an existing software ecosystem that was very complex, and provide connections with the ERP and WCS in use. It also needed to be connected to the tools used in the warehouse.
SolutionThe solution enables scheduling sequences to be created automatically and in an optimized way, to prepare all types of orders. However, it also allows users to intervene on the order picking waves created. A dashboard which centralizes scheduling and warehouse activity monitoring is included in the solution to provide an overall view of warehouse performance.
OutcomeDeveloped in just three months, the solution handles the scheduling of about 800 orders every day. In the long term, the brand would like to improve package preparation by setting up a pick-to-light application.
ContextBa&sh wanted to streamline operations in its new automated warehouse, to increase operational efficiency during order preparation. The project consisted of scheduling order preparation waves and tracking order preparation in the warehouse.
ChallengeFor the first time, we had to come up with a way to integrate our solution into a mechanized processing system. The solution had to be able to interconnect with an existing software ecosystem that was very complex, and provide connections with the ERP and WCS in use. It also needed to be connected to the tools used in the warehouse.
SolutionThe solution enables scheduling sequences to be created automatically and in an optimized way, to prepare all types of orders. However, it also allows users to intervene on the order picking waves created. A dashboard which centralizes scheduling and warehouse activity monitoring is included in the solution to provide an overall view of warehouse performance.
OutcomeDeveloped in just three months, the solution handles the scheduling of about 800 orders every day. In the long term, the brand would like to improve package preparation by setting up a pick-to-light application.
Key project features
Overall view of warehouse performance
Creation of order preparation waves
Scheduling optimization
Constraint and capacity management
Tracking of order preparation
Key project features
Overall view of warehouse performance
Creation of order preparation waves
Scheduling optimization
Constraint and capacity management
Tracking of order preparation