AS/RS-Datasets: Benchmark Instances and Code for Warehouse Automation

AS/RS-Datasets is a curated repository of benchmark test instances and algorithmic implementations for Automated Storage and Retrieval Systems, developed by Zakarya Amara and hosted on the AS/RS Research Dataverse. Updated in March 2026, the collection provides standardized data derived from scientific literature to support the modeling and optimization of warehouse automation. It specifically includes data related to Flow Rack AS/RS configurations and operations research problems.

Use Cases

• Benchmarking optimization algorithms using standardized Flow Rack AS/RS problem instances
• Reproducing performance analysis results from AS/RS scientific literature using provided program codes
• Validating mathematical models for warehouse automation and operations research

Strengths

• Derived from peer-reviewed scientific literature
• Includes both problem instances and corresponding program code
• Focuses on specialized Flow Rack AS/RS engineering problems

Limitations

• Unknown record count and file sizes
• Lack of detailed column-level metadata for the tabular instances
• Undefined license terms in the primary metadata

Provenance

Source

AS/RS Research Dataverse, Zakarya Amara

Collection Method

Curated from scientific literature and algorithmic implementations

Freshness

Last updated March 2026.