Nesting: AutoNest vs. Manual Nest vs. Intelligent Nest

In VerteLith, there are distinct differences in how jobs are nested when using the AutoNest feature within a print environment versus manually adding jobs and applying intelligent nesting. 

AutoNest in Print Environment with Intelligent Nesting

When you configure a print environment for AutoNest and then enable Intelligent Nesting, VerteLith automatically adds newly added jobs from the Hold queue or the hot folder to the nest. This process includes several configurable settings such as the maximum number of jobs, maximum nesting width and height, job rotation for optimal nesting, and automatic printing of the created auto-nest .

Key steps to set up AutoNest include:

1. Choose Manage > Print Environment.
2. Select the print environment and click Edit.
3. Select Allow Auto Nesting.
4. Configure settings like Number of Jobs, Nesting Width, Nesting Height, Allow Rotation, and Auto Print .

Manual Nesting with Intelligent Nesting

In contrast, manual nesting involves selecting multiple jobs from the Hold queue and creating a nest by merging these jobs into a group. 

Key steps for manual nesting:

1. Select the jobs in the Hold queue and click the Nest icon.
2. The settings of the job at the top of the list are applied to the other selected jobs.
3. Once the nested job is submitted for print, the ripping of all jobs in the nest starts simultaneously, and the Print queue preview shows how the nested job will print .

Intelligent Nesting

Enabling Intelligent Nesting in either method optimizes media usage by adjusting the order or orientation of the jobs to minimize waste. This feature is applied after creating a nest, whether it is auto-nested or manually nested, ensuring the most efficient layout .

In summary, AutoNest in a print environment automates the process of adding and configuring jobs into a nest, applying consistent settings and enabling automatic intelligent nesting. Manual nesting requires selecting and configuring jobs individually before applying intelligent nesting to optimize the layout. Both methods ultimately utilize intelligent nesting to ensure optimal media usage, but the approach to creating and managing nests differs significantly.