Description

This virtual downloadable product provides a Python SimPy simulation project for simulating putaway and retrieval processes in a warehouse, considering dedicated transporter pools and the possibility of designing storage dwelltime based warehouse zones for zone based warehousing. The downloadable zip-file comprises an exemplary framework, model collection, and specific use case implementation. The simulation project has been used for simulation studies in distribution logistics, e.g. for forklift operations improvement in a plywood factory and distribution center.

In detail, the downloadable zip-file contains the following:

• datamodels.py : module that comprises classes for modeling storage areas, storage slots, and transporter pools (e.g. forklifts)
• models.py : classes implementing example models for a) chaotic warehousing, and b) zone-based warehousing
• main.py : script that implements a simulations study comparing transporter productivity in chaotic vs. zone-based warehousing operations
• config.py : configuration file with relevant parameters

Statistics tracked by the framework

The underlying classes for storage slots, storage areas, and transporter pools provide variables and attributes for tracking relevant statistics. This allows for comparing simulation models and simulation runs representing alternate warehousing strategies and operational tactics.

Here are some examples:

• storage utilization by storage area
• throughput by transporter pool
• utilization by transporter pool
• avg. move time per transporter pool
• min. and max. move time per transporter pool
• order backlog by transporter pool

For example, the simulation model was used in a plywood factory simulation study, comparing alternate operational modes for forklift operations in the distribution and shipping warehouse. Amongst other things zone-based vs. chaotic warehousing were compared. Below chart summarizes average forklift move times by operational mode and fill degree.