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Benchmark Instances for Manual Warehouse Order Picking

Barlang, Maximilian ORCID iD icon 1; Lehmann, Timo ORCID iD icon 1; Furmans, Kai ORCID iD icon 1
1 Institut für Fördertechnik und Logistiksysteme (IFL), Karlsruher Institut für Technologie (KIT)

Abstract:

Dieser Datensatz stellt eine umfangreiche Instanzsammlung für das Order-Picking-Problem in manuellen, rechteckigen Lägern bereit und dient insbesondere dem Vergleich von Routing- und Warteheuristiken. Abgebildet wird ein Lagerlayout mit parallelen Gassen, je einer Quergasse oben und unten sowie einem Depot in (0, 0). Jede Instanz umfasst einen Lagergraphen, eine Zuordnung von Artikeln zu Pickpositionen sowie einen Auftragsstrom mit praxisnahen Eigenschaften. Berücksichtigt werden unter anderem die Auftretenswahrscheinlichkeit von Artikeln pro Bestellung, Fälligkeitsdaten, Layoutparameter (Anzahl und Länge der Gassen), die Anzahl an Bestellungen pro Schicht, die Anzahl verschiedener Artikel pro Auftrag, die Volatilität im Bestellankunftsstrom sowie unterschiedliche Lagerstrategien.
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Abstract (englisch):

This dataset provides a comprehensive collection of instances for the order picking problem in manual rectangular warehouses and is designed primarily for benchmarking routing and waiting heuristics. The warehouse is modeled as a graph with parallel aisles, one cross aisle at the top and bottom, and a depot located at (0, 0). Each instance includes the warehouse layout, an article-to-location assignment, and an order arrival stream with practice-oriented characteristics. The dataset explicitly accounts for the probability of article occurrence per order, due dates, layout parameters (number and length of aisles), the number of orders per shift, the number of order lines per order, the volatility of the order arrival process, and different storage policies.
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Zugehörige Institution(en) am KIT Institut für Fördertechnik und Logistiksysteme (IFL)
Publikationstyp Forschungsdaten
Publikationsdatum 29.04.2026
Erstellungsdatum 31.12.2025
Identifikator DOI: 10.35097/mwsv59v8sk9sqaan
KITopen-ID: 1000192445
Lizenz Creative Commons Namensnennung 4.0 International
Schlagwörter Online Order Picking Problem; Heuristics; Warehouse; Instance Set; Routing; Waiting; Batching
Liesmich

Repository Structure

Top-level folders:

Data_input/ – Static input data (warehouse layouts and storage assignments)
Orders/ – Order streams (instances) for different experimental settings
Results/ – Example/benchmark solutions for selected instances (for validation)

Within Data_input/ and Orders/, data is split into two experimental designs:

OFAT/ – One-Factor-at-a-Time design
LHS/ – Latin Hypercube Sampling design

Orders/OFAT/Standard_case/ contains the baseline setting.
Each other folder under Orders/OFAT/ changes exactly one factor relative to the standard case.
Orders/LHS/ contains 100 parameter sets (Latin Hypercube Sampling), each with 100 replications.

Warehouse Layouts
Geometric and Logical Structure

The warehouse is modeled as a rectangular layout with:

Parallel picking aisles
One cross aisle at the bottom and one at the top
A depot at coordinate (0, 0) (in abstract length units)

Layouts are represented as NetworkX graphs stored as pickle files (*.pkl) in Data_input/.../Layout/.

Storage assignments are stored as JSON files in Data_input/.../Storage_assignment/.

Each file in Orders/ is a JSON file representing one replication (= one shift/day) for a given parameter setting.

Top-level structure:

meta: metadata and configuration of the instance
orders: list of orders for this instance

OFAT Design (One-Factor-at-a-Time)

The OFAT design is organized in subfolders under Orders/OFAT/.
Each folder modifies exactly one factor relative to the Standard_case/.

Each OFAT subfolder contains:

A set of factor levels (e.g. multiple due date settings, layout variants, etc.).
For each factor level: 100 JSON instances (replications), each representing one shift.

LHS Design (Latin Hypercube Sampling)

The LHS design jointly varies multiple parameters instead of changing one factor at a time.

Location: Orders/LHS/

Contains 100 different parameter sets (Latin Hypercube samples).
For each parameter set: 100 replications (instances).

Results

The Results/ folder contains example/benchmark solutions for selected instances, separated into OFAT and LHS.

Abbreviations:
OFAT: One factor at a time
LHS: Latin Hypercube Sampling
MOCT: Mean order completion time
MLPI: Mean length per item
TARD: Tardiness
SSH: S-Shape Routing
NNH: Nearest Neighbourhood Routing
LAG: Largest Gap Routing
RET: Return Routing
W: Waiting for full batches
WOC_x: Waiting Order Count (Waiting for x orders in batch before starting)
SI: Start Immediately (no waiting)

Please refer to the attached readme file for more details regarding implementation and data description.

Art der Forschungsdaten Dataset
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