Skip to main content
zenodoopen

Multibay unit-load pre-marshalling problem instances

<p>This dataset provides instances for experiments of the multibay unit-load pre-marshalling problem. For each experiment, we provide the instances as JSON-files.</p> <p>&nbsp;</p> <p>The folder exp_instances_tier_1 includes 27720 instances with one tier.</p> <p>The folder exp_instances_tier_2 includes 27720 instances with two tiers.</p> <p>&nbsp;</p> <p>The JSON-files contain the following information:</p> <ul> <li>warehouse_layout: Number of bays arranged in a square.</li> <li>bay_layout: Size of each bay.&nbsp;</li> <li>fill_level: Share of occupied slots in the warehouse.</li> <li>max_priority: Number of priority classes.</li> <li>seed: Seed used to generate the instance.</li> <li>access_directions: Allowed access directions.</li> <li>warehouse_state: Priority class for each slot defined by x, y, and z coordinates. Priority class zero corresponds to an empty slot.</li> <li>access_points: Access points in the warehouse in front of each bay. Each access point is located by x and y coordinates.</li> <li>robot_positions: Randomly generated initial positions for robots defined by x and y coordinates.</li> </ul>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4